{"id":97194,"date":"2026-09-15T11:31:24","date_gmt":"2026-09-15T08:31:24","guid":{"rendered":"https:\/\/twodots.gr\/?p=97194"},"modified":"2026-09-15T11:31:25","modified_gmt":"2026-09-15T08:31:25","slug":"qhadamw-provlepsi-atmosfairikis-rypansis-manila","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/qhadamw-provlepsi-atmosfairikis-rypansis-manila\/","title":{"rendered":"QHAdamW \u03ba\u03b1\u03b9 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b1\u03c4\u03bc\u03bf\u03c3\u03c6\u03b1\u03b9\u03c1\u03b9\u03ba\u03ae\u03c2 \u03c1\u03cd\u03c0\u03b1\u03bd\u03c3\u03b7\u03c2: \u03c4\u03b9 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c4\u03b7\u03c2 \u039c\u03b1\u03bd\u03af\u03bb\u03b1"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u0391\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ce\u03c4\u03b1:<\/strong> \u03c4\u03bf QHAdamW \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03b1 \u03bc\u03ad\u03c3\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 feed-forward \u03bd\u03b5\u03c5\u03c1\u03c9\u03bd\u03b9\u03ba\u03bf\u03cd \u03b4\u03b9\u03ba\u03c4\u03cd\u03bf\u03c5 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 Adam \u03c3\u03b5 \u03c9\u03c1\u03b9\u03b1\u03af\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 PM2.5 \u03ba\u03b1\u03b9 PM10 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03c3\u03c4\u03b1\u03b8\u03bc\u03cc \u03c4\u03b7\u03c2 \u039c\u03b1\u03bd\u03af\u03bb\u03b1. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf optimizer \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae\u00b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf \u03b3\u03b9\u03b1 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b5\u03c2 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b5\u03c2 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ae \u03cc\u03c4\u03b9 \u03b8\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03b5\u03cd\u03c3\u03b5\u03b9 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b7 \u03c0\u03cc\u03bb\u03b7.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03ae \u03ad\u03bd\u03b1\u03bd \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc \u03c0\u03bf\u03c5 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03b9 forecasting \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd, \u03c4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf RMSE. \u0391\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae\u03c1\u03b5\u03c2, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac splits, hyperparameter search, \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b1 runs, calibration \u03c3\u03c4\u03b1 \u03ba\u03b1\u03c4\u03ce\u03c6\u03bb\u03b9\u03b1, monitoring \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03bc\u03af\u03b1 \u03b1\u03bb\u03c5\u03c3\u03af\u03b4\u03b1. \u0391\u03bd \u03ad\u03bd\u03b1\u03c2 \u03ba\u03c1\u03af\u03ba\u03bf\u03c2 \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af, \u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf offline metric \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03ac\u03b4\u03b5\u03b9\u03b1 \u03b3\u03b9\u03b1 deployment.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#ti-exetase-i-meleti\">\u03a4\u03b9 \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b5 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9<\/a><\/li>\n<li><a href=\"#dedomena-manila\">\u03a4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c4\u03b7\u03c2 \u039c\u03b1\u03bd\u03af\u03bb\u03b1 \u03c0\u03af\u03c3\u03c9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 AQI<\/a><\/li>\n<li><a href=\"#ti-allazei-qhadamw\">\u03a4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf QHAdamW \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf\u03bd Adam<\/a><\/li>\n<li><a href=\"#peiramatiko-protokollo\">\u03a0\u03ce\u03c2 \u03c3\u03c4\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c4\u03bf \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf<\/a><\/li>\n<li><a href=\"#mesoi-deiktes\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03bf\u03b9 \u03bc\u03ad\u03c3\u03bf\u03b9 \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2<\/a><\/li>\n<li><a href=\"#diafora-pm25-pm10\">\u0393\u03b9\u03b1\u03c4\u03af PM2.5 \u03ba\u03b1\u03b9 PM10 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf use case<\/a><\/li>\n<li><a href=\"#convergence-kai-asafeies\">Convergence, validation loss \u03ba\u03b1\u03b9 \u03b1\u03c3\u03ac\u03c6\u03b5\u03b9\u03b5\u03c2 \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2<\/a><\/li>\n<li><a href=\"#apo-modelo-se-warning-system\">\u0391\u03c0\u03cc \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c3\u03b5 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ad\u03b3\u03ba\u03b1\u03b9\u03c1\u03b7\u03c2 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2<\/a><\/li>\n<li><a href=\"#periorismoi-kai-generalizability\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03bf\u03c0\u03bf\u03b9\u03bf\u03b4\u03ae\u03c0\u03bf\u03c4\u03b5 deployment<\/a><\/li>\n<li><a href=\"#pilot-epta-vimata\">\u0388\u03bd\u03b1 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf pilot \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1<\/a><\/li>\n<li><a href=\"#teliko-symperasma\">\u03a4\u03b9 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03bf\u03c5\u03bc\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"ti-exetase-i-meleti\">\u03a4\u03b9 \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b5 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9<\/h2>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u00abEnhanced Artificial Neural Networks Using QHAdamW in Air Quality Forecasting\u00bb \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ae: \u03c4\u03bf\u03bd \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b1 \u03b2\u03ac\u03c1\u03b7 \u03c4\u03bf\u03c5 \u03bd\u03b5\u03c5\u03c1\u03c9\u03bd\u03b9\u03ba\u03bf\u03cd \u03b4\u03b9\u03ba\u03c4\u03cd\u03bf\u03c5. \u0394\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03ad\u03bd\u03b1 feed-forward ANN \u03ba\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc Adam \u03bc\u03b5 \u03c4\u03bf\u03bd \u03c5\u03b2\u03c1\u03b9\u03b4\u03b9\u03ba\u03cc QHAdamW \u03b3\u03b9\u03b1 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c4\u03bf\u03c5 Air Quality Index \u03c4\u03c9\u03bd PM2.5 \u03ba\u03b1\u03b9 PM10.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc\u03c2 \u03bf \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03bf\u03b8\u03b5\u03af \u03c0\u03b9\u03bf \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03bc\u03b9\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7\u03c2 \u03c3\u03c4\u03bf\u03bd optimizer. \u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 benchmark \u03cc\u03bb\u03c9\u03bd \u03c4\u03c9\u03bd \u03c3\u03cd\u03b3\u03c7\u03c1\u03bf\u03bd\u03c9\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03c7\u03c1\u03bf\u03bd\u03bf\u03c3\u03b5\u03b9\u03c1\u03ce\u03bd, \u03bf\u03cd\u03c4\u03b5 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5 LSTM, transformers, gradient boosting \u03ae \u03c0\u03b9\u03b8\u03b1\u03bd\u03bf\u03c4\u03b9\u03ba\u03ac forecasting \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1. \u03a4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc claim \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf QHAdamW \u03ae\u03c4\u03b1\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf Adam baseline \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf ANN \u03ba\u03b1\u03b9 dataset.<\/p>\n<p>\u0397 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03c6\u03bf\u03c1\u03ac \u03ac\u03bc\u03b5\u03c3\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ad\u03c1\u03b3\u03bf. \u038c\u03c0\u03c9\u03c2 \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03bf \u03bf\u03b4\u03b7\u03b3\u03cc\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/poio-ai-montelo-axizei-gia-tin-epicheirisi\/\">\u03c0\u03bf\u03b9\u03bf AI \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7<\/a>, \u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03b9\u03bc\u03bf \u03c3\u03c4\u03bf\u03af\u03c7\u03b7\u03bc\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03cc\u03bd\u03bf\u03bc\u03b1. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1\u03c2, \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03ad\u03be\u03bf\u03b4\u03bf\u03c2 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1.<\/p>\n<h2 id=\"dedomena-manila\">\u03a4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c4\u03b7\u03c2 \u039c\u03b1\u03bd\u03af\u03bb\u03b1 \u03c0\u03af\u03c3\u03c9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 AQI<\/h2>\n<p>\u03a4\u03bf dataset \u03c0\u03c1\u03bf\u03ae\u03bb\u03b8\u03b5 \u03b1\u03c0\u03cc \u03c3\u03c4\u03b1\u03b8\u03bc\u03cc \u03c4\u03bf\u03c5 Environmental Management Bureau \u03c3\u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae Mehan Garden \u03c4\u03b7\u03c2 \u039c\u03b1\u03bd\u03af\u03bb\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf \u0399\u03b1\u03bd\u03bf\u03c5\u03ac\u03c1\u03b9\u03bf\u03c2 2020 \u03ad\u03c9\u03c2 \u0394\u03b5\u03ba\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2024. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 14.328 \u03c9\u03c1\u03b9\u03b1\u03af\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03c3\u03b5\u03c9\u03bd PM2.5 \u03ba\u03b1\u03b9 PM10. \u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ac\u03c0\u03b7\u03ba\u03b1\u03bd \u03c3\u03b5 AQI \u03bc\u03b5 \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03bf\u03bb\u03ae \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03b7\u03c2 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b7\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1\u03c2.<\/p>\n<p>\u03a4\u03b1 features \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03c3\u03c4\u03bf \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1 0 \u03ad\u03c9\u03c2 1 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03ba\u03b5\u03bd\u03ac \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd \u03bc\u03b5 \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03ae \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03bf\u03bb\u03ae. \u0391\u03c5\u03c4\u03ad\u03c2 \u03bf\u03b9 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03b4\u03ad\u03c4\u03b5\u03c1\u03b5\u03c2. \u0397 \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03bf\u03bb\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b3\u03b9\u03b1 \u03c3\u03cd\u03bd\u03c4\u03bf\u03bc\u03b1 \u03ba\u03b5\u03bd\u03ac, \u03b1\u03bb\u03bb\u03ac \u03c3\u03b5 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b7 \u03b2\u03bb\u03ac\u03b2\u03b7 \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae\u03c1\u03b1 \u03ae \u03c3\u03b5 \u03b1\u03c0\u03cc\u03c4\u03bf\u03bc\u03bf \u03b5\u03c0\u03b5\u03b9\u03c3\u03cc\u03b4\u03b9\u03bf \u03c1\u03cd\u03c0\u03b1\u03bd\u03c3\u03b7\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bb\u03b5\u03b9\u03ac\u03bd\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c4\u03b7\u03bd \u03b1\u03ba\u03c1\u03b1\u03af\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c0\u03bf\u03c5 \u03ad\u03bd\u03b1 warning system \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03b5\u03b9.<\/p>\n<aside class=\"td-article-note\"><strong>\u0397 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 sensor stream \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5:<\/strong> \u03c0\u03c1\u03b9\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03bc\u03b9\u03b1 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 AQI, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03bf\u03bd\u03c4\u03b1\u03b9 missingness, \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf\u03b9 \u03c3\u03c5\u03bd\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7\u03c2, \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03bf \u03c4\u03c1\u03cc\u03c0\u03bf\u03c2 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03bf\u03c0\u03bf\u03af\u03bf \u03ba\u03ac\u03b8\u03b5 \u03ba\u03b5\u03bd\u03cc \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03ce\u03b8\u03b7\u03ba\u03b5. \u0394\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac, \u03c4\u03bf pipeline \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 optimizer \u03b1\u03c0\u03cc \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c3\u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03b9\u03c3\u03cc\u03b4\u03bf\u03c5.<\/aside>\n<p>\u0388\u03bd\u03b1 dashboard \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ac \u00ab\u03c4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac \u03bf \u03c3\u03c4\u03b1\u03b8\u03bc\u03cc\u03c2 \u03c4\u03ce\u03c1\u03b1\u00bb. \u0388\u03bd\u03b1 forecasting layer \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9 \u00ab\u03c4\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03bd \u03b8\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03b5\u03b9\u00bb \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u0397 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c3\u03b5 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03cc\u03c0\u03bf\u03c5 \u03bf\u03b9 <a href=\"https:\/\/twodots.gr\/analytics-platforms-data-decisions\/\">analytics \u03c0\u03bb\u03b1\u03c4\u03c6\u03cc\u03c1\u03bc\u03b5\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03c3\u03ba\u03bf\u03c0\u03cc<\/a>, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b3\u03c1\u03b1\u03c6\u03ae\u03bc\u03b1\u03c4\u03b1.<\/p>\n<h2 id=\"ti-allazei-qhadamw\">\u03a4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf QHAdamW \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf\u03bd Adam<\/h2>\n<p>\u039f Adam \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03ba\u03b9\u03bd\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf\u03c5\u03c2 \u03bc\u03ad\u03c3\u03bf\u03c5\u03c2 \u03c4\u03b7\u03c2 \u03ba\u03bb\u03af\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5 \u03c4\u03b5\u03c4\u03c1\u03b1\u03b3\u03ce\u03bd\u03bf\u03c5 \u03c4\u03b7\u03c2 \u03ba\u03bb\u03af\u03c3\u03b7\u03c2, \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c4\u03bf \u03b2\u03ae\u03bc\u03b1 \u03b5\u03bd\u03b7\u03bc\u03ad\u03c1\u03c9\u03c3\u03b7\u03c2 \u03b1\u03bd\u03ac \u03c0\u03b1\u03c1\u03ac\u03bc\u03b5\u03c4\u03c1\u03bf. \u03a4\u03bf QHAdam \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 quasi-hyperbolic weighting: \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ac\u03bc\u03b5\u03c3\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c4\u03b7\u03c2 \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1\u03c2 \u03ba\u03bb\u03af\u03c3\u03b7\u03c2 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b5\u03be\u03bf\u03bc\u03b1\u03bb\u03c5\u03bc\u03ad\u03bd\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c4\u03bf\u03c5 momentum. \u0388\u03c4\u03c3\u03b9, \u03bf \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b4\u03c1\u03ac \u03c3\u03b5 \u03bd\u03ad\u03bf \u03c3\u03ae\u03bc\u03b1 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b5\u03b3\u03ba\u03b1\u03c4\u03b1\u03bb\u03b5\u03af\u03c0\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 \u03c4\u03ac\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a4\u03bf AdamW \u03b1\u03c0\u03bf\u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c4\u03bf weight decay \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03bd\u03b7\u03bc\u03ad\u03c1\u03c9\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 loss function. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03c5\u03c4\u03ae \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c3\u03c4\u03bf regularization \u03bd\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b5\u03c5\u03ba\u03bf\u03bb\u03cd\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 learning rate \u03ba\u03b1\u03b9 weight decay. \u03a4\u03bf QHAdamW \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd quasi-hyperbolic \u03b5\u03bd\u03b7\u03bc\u03ad\u03c1\u03c9\u03c3\u03b7 \u03bc\u03b5 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf decoupled weight decay.<\/p>\n<p>\u0397 \u03c3\u03c5\u03bc\u03b2\u03bf\u03bb\u03ae \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03ad\u03bf \u03b4\u03af\u03ba\u03c4\u03c5\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2. \u0395\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03b1\u03c5\u03c4\u03bf\u03cd \u03c4\u03bf\u03c5 optimizer \u03c9\u03c2 drop-in \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c3\u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf broad ANN \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc. \u0393\u03b9\u03b1 \u03ad\u03bd\u03b1 data team, \u03b1\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c5\u03c0\u03b5\u03bd\u03b8\u03cd\u03bc\u03b9\u03c3\u03b7 \u03cc\u03c4\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 layers \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf compute \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03bc\u03cc\u03bd\u03b7 \u03bf\u03b4\u03cc\u03c2 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7\u03c2. \u0397 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 optimization, \u03bf\u03b9 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ad\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf validation protocol \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03bf\u03c5\u03bd \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf model graph \u03bc\u03ad\u03bd\u03b5\u03b9 \u03af\u03b4\u03b9\u03bf.<\/p>\n<h2 id=\"peiramatiko-protokollo\">\u03a0\u03ce\u03c2 \u03c3\u03c4\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c4\u03bf \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf<\/h2>\n<p>\u03a4\u03bf feed-forward multilayer ANN \u03c5\u03bb\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03b5 PyTorch 2.0. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b4\u03cd\u03bf \u03ba\u03c1\u03c5\u03c6\u03ac layers \u03bc\u03b5 64 neurons \u03c4\u03bf \u03ba\u03b1\u03b8\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 tanh activation, \u03b5\u03bd\u03ce \u03b7 \u03ad\u03be\u03bf\u03b4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c2 neuron \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 AQI. \u03a9\u03c2 inputs \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b7 \u03c3\u03c5\u03b3\u03ba\u03ad\u03bd\u03c4\u03c1\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03b5\u03ba\u03ac\u03c3\u03c4\u03bf\u03c4\u03b5 \u03c1\u03cd\u03c0\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03bf\u03af \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2. \u0397 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03b3\u03b9\u03b1 \u03ad\u03c9\u03c2 100 epochs \u03bc\u03b5 batch size 32 \u03ba\u03b1\u03b9 early stopping \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03bf validation loss.<\/p>\n<p>\u0393\u03b9\u03b1 \u03c4\u03bf hyperparameter tuning \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd learning rates 0,1, 0,01 \u03ba\u03b1\u03b9 0,001, weight decay \u03c3\u03c4\u03b9\u03c2 \u03af\u03b4\u03b9\u03b5\u03c2 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03ba\u03b1\u03b9 epsilon 0,1, 0,01 \u03ba\u03b1\u03b9 0,001. \u039a\u03ac\u03b8\u03b5 configuration \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03c4\u03b7\u03ba\u03b5 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 \u03b4\u03ad\u03ba\u03b1 \u03c6\u03bf\u03c1\u03ad\u03c2 \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac random seeds \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c5\u03bd\u03bf\u03c8\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ac. \u03a4\u03bf paper \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 0,01 \u03ba\u03b1\u03b9 0,001 \u03c9\u03c2 \u03c4\u03b9\u03c2 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ad\u03c2 \u03c1\u03c5\u03b8\u03bc\u03af\u03c3\u03b5\u03b9\u03c2, \u03b1\u03bb\u03bb\u03ac \u03bf\u03b9 \u03b2\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03bf\u03af \u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03b1\u03bd\u03ac \u03c1\u03cd\u03c0\u03bf.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u0397 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03c4\u03b7\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03bf paper<\/p>\n<p class=\"td-chart-subtitle\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03c3\u03c4\u03b1\u03b8\u03bc\u03bf\u03cd \u03c3\u03c4\u03b7 \u039c\u03b1\u03bd\u03af\u03bb\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae\u03c2 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1\u03c2.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">14.328<\/span><span class=\"td-metric-label\">\u03c9\u03c1\u03b9\u03b1\u03af\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 PM2.5 \u03ba\u03b1\u03b9 PM10<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">5 years<\/span><span class=\"td-metric-label\">\u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf\u03c2 \u0399\u03b1\u03bd\u03bf\u03c5\u03ac\u03c1\u03b9\u03bf\u03c2 2020 \u03ad\u03c9\u03c2 \u0394\u03b5\u03ba\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2024<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">10 runs<\/span><span class=\"td-metric-label\">\u03b1\u03bd\u03ac configuration \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac random seeds<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">7 metrics<\/span><span class=\"td-metric-label\">RMSE, MSE, NRMSE, MAE, MAPE, WAPE \u03ba\u03b1\u03b9 R\u00b2<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 \u03b5\u03c0\u03b1\u03bd\u03ac\u03bb\u03b7\u03c8\u03b7 \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03ad\u03bd\u03b1 \u03c4\u03c5\u03c7\u03b5\u03c1\u03cc initialization \u03c9\u03c2 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7. \u0394\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03cc\u03bc\u03c9\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03cc holdout, \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03c3\u03c4\u03b1\u03b8\u03bc\u03cc \u03ae confidence intervals. \u03a4\u03b1 \u03b4\u03ad\u03ba\u03b1 runs \u03bc\u03b5 seeds \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2\u00b7 \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03cc\u03bb\u03b7\u03c2, \u03b5\u03c0\u03bf\u03c7\u03ae\u03c2, hardware \u03ae \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae\u03c1\u03b1.<\/p>\n<h2 id=\"mesoi-deiktes\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03bf\u03b9 \u03bc\u03ad\u03c3\u03bf\u03b9 \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2<\/h2>\n<p>\u03a3\u03c4\u03bf\u03bd \u03c0\u03af\u03bd\u03b1\u03ba\u03b1 \u03c4\u03c9\u03bd \u03bc\u03ad\u03c3\u03c9\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd, \u03c4\u03bf QHAdamW \u03b5\u03af\u03c7\u03b5 RMSE 6,256 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 6,713 \u03c4\u03bf\u03c5 Adam \u03b3\u03b9\u03b1 PM2.5, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac 7,30%. \u03a4\u03bf MAE \u03ae\u03c4\u03b1\u03bd 3,881 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 4,045 \u03ba\u03b1\u03b9 \u03c4\u03bf R\u00b2 0,669 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,618. \u0393\u03b9\u03b1 PM10, \u03c4\u03bf RMSE \u03ae\u03c4\u03b1\u03bd 14,407 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 14,852, \u03c4\u03bf MAE 9,265 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 9,546 \u03ba\u03b1\u03b9 \u03c4\u03bf R\u00b2 0,576 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,550.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">PM2.5<\/p>\n<p>\u0397 \u03bc\u03ad\u03c3\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b5\u03c5\u03bd\u03bf\u03b5\u03af \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03c4\u03bf QHAdamW: \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 RMSE \u03ba\u03b1\u03b9 MAE \u03ba\u03b1\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf R\u00b2 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd Adam \u03c3\u03c4\u03b1 \u03b4\u03ad\u03ba\u03b1 runs.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">RMSE 6,256<\/span><span class=\"td-badge\">R\u00b2 0,669<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">PM10<\/p>\n<p>\u03a4\u03bf QHAdamW \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03c4\u03bf reported average, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b1\u03c0\u03cc\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd Adam \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf R\u00b2 \u03bc\u03ad\u03bd\u03b5\u03b9 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf\u03c5 PM2.5.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">RMSE 14,407<\/span><span class=\"td-badge\">R\u00b2 0,576<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Operational gate<\/p>\n<p>\u039a\u03b1\u03bd\u03ad\u03bd\u03b1 \u03bc\u03ad\u03c3\u03bf metric \u03b4\u03b5\u03bd \u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03b1\u03bd \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 alert. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c4\u03b1 thresholds, calibration \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 false alarm \u03ae \u03c7\u03b1\u03bc\u03ad\u03bd\u03b7\u03c2 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Thresholds<\/span><span class=\"td-badge\">Cost of error<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u039f\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03bf\u03c5 baseline, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03b7 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1. \u03a4\u03bf R\u00b2 0,576 \u03b3\u03b9\u03b1 PM10, \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1, \u03b1\u03c6\u03ae\u03bd\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03ba\u03cd\u03bc\u03b1\u03bd\u03c3\u03b7\u03c2 \u03b1\u03bd\u03b5\u03be\u03ae\u03b3\u03b7\u03c4\u03bf. \u03a3\u03b5 \u03ad\u03bd\u03b1 public-facing \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd, \u03c4\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c0\u03bf\u03b9\u03bf optimizer \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9, \u03b1\u03bb\u03bb\u03ac \u03b1\u03bd \u03b7 \u03c5\u03c0\u03bf\u03bb\u03b5\u03b9\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ae \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1.<\/p>\n<p>\u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c6\u03c5\u03c3\u03b9\u03ba\u03bf\u03cd \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2. \u03a4\u03bf \u03ac\u03c1\u03b8\u03c1\u03bf \u03b3\u03b9\u03b1 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/stco-ai-provlepsi-fysikou-systimatos-paremvasi\/\">STCO \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03bc\u03ad\u03bb\u03bb\u03bf\u03bd \u03c4\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2<\/a> \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b2\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03c7\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf offline fit \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1.<\/p>\n<h2 id=\"diafora-pm25-pm10\">\u0393\u03b9\u03b1\u03c4\u03af PM2.5 \u03ba\u03b1\u03b9 PM10 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf use case<\/h2>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 AQI. \u0393\u03b9\u03b1 PM2.5, \u03c4\u03bf QHAdamW \u03ad\u03b4\u03c9\u03c3\u03b5 6.965 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03ae 53,05%, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 6.788 \u03ba\u03b1\u03b9 51,71% \u03c4\u03bf\u03c5 Adam. \u0393\u03b9\u03b1 PM10, \u03ad\u03b4\u03c9\u03c3\u03b5 11.557 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03ae 88,03%, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 10.403 \u03ba\u03b1\u03b9 79,24% \u03c4\u03bf\u03c5 Adam.<\/p>\n<p>\u0397 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b7 \u03b1\u03c0\u03cc\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03bf 53,05% \u03ba\u03b1\u03b9 \u03c4\u03bf 88,03% \u03b4\u03b5\u03bd \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03b5\u03bd\u03b9\u03b1\u03af\u03b1 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2. \u0388\u03bd\u03b1 interface \u03c0\u03bf\u03c5 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b4\u03cd\u03bf \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03bc\u03b5 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c7\u03c1\u03ce\u03bc\u03b1, confidence label \u03ae automation rule \u03b8\u03b1 \u03ad\u03ba\u03c1\u03c5\u03b2\u03b5 \u03bf\u03c5\u03c3\u03b9\u03ce\u03b4\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac. \u03a4\u03bf model card \u03ba\u03b1\u03b9 \u03c4\u03bf dashboard \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c1\u03cd\u03c0\u03bf, forecast horizon, \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1, \u03b1\u03c0\u03cc\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc threshold \u03ba\u03b1\u03b9 \u03b5\u03c0\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd.<\/p>\n<p>\u0397 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae accuracy \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03c3\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2 \u03b1\u03bb\u03bb\u03ac \u03c3\u03bf\u03b2\u03b1\u03c1\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2. \u0391\u03bd \u03bf\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03ce\u03c1\u03b5\u03c2 \u03b1\u03bd\u03ae\u03ba\u03bf\u03c5\u03bd \u03c3\u03b5 \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 AQI, \u03ad\u03bd\u03b1 \u03c5\u03c8\u03b7\u03bb\u03cc aggregate \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03bc\u03b5 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae recall \u03c3\u03c4\u03b1 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b1 \u03b5\u03c0\u03b5\u03b9\u03c3\u03cc\u03b4\u03b9\u03b1. \u03a0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc alerting \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 confusion matrix \u03b1\u03bd\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1, precision \u03ba\u03b1\u03b9 recall \u03c3\u03c4\u03b9\u03c2 \u03b1\u03ba\u03c1\u03b1\u03af\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2, calibration \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c7\u03c1\u03cc\u03bd\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2.<\/p>\n<h2 id=\"convergence-kai-asafeies\">Convergence, validation loss \u03ba\u03b1\u03b9 \u03b1\u03c3\u03ac\u03c6\u03b5\u03b9\u03b5\u03c2 \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2<\/h2>\n<p>\u03a3\u03c4\u03b9\u03c2 \u03b4\u03ad\u03ba\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 PM2.5, \u03bf \u03c0\u03af\u03bd\u03b1\u03ba\u03b1\u03c2 validation loss \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03bc\u03ad\u03c3\u03b7 \u03bc\u03b5\u03af\u03c9\u03c3\u03b7 30,93% \u03b3\u03b9\u03b1 QHAdamW \u03ba\u03b1\u03b9 8,49% \u03b3\u03b9\u03b1 Adam. \u0391\u03c5\u03c4\u03cc \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b9\u03b4\u03ad\u03b1 \u03cc\u03c4\u03b9 \u03bf \u03c5\u03b2\u03c1\u03b9\u03b4\u03b9\u03ba\u03cc\u03c2 optimizer \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03bb\u03af\u03bd\u03b5\u03b9 \u03c0\u03b9\u03bf \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03c3\u03c4\u03bf\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c3\u03c4\u03cc\u03c7\u03bf. \u0394\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03c3\u03b5 claim \u03cc\u03c4\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab30,93% \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7\u00bb: \u03c4\u03bf \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03bc\u03b5\u03af\u03c9\u03c3\u03b7 loss \u03b1\u03c0\u03cc \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03c3\u03b5 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03c4\u03b9\u03bc\u03ae \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2.<\/p>\n<p>\u0393\u03b9\u03b1 PM10, \u03bf \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf\u03c2 \u03c0\u03af\u03bd\u03b1\u03ba\u03b1\u03c2 \u03b4\u03af\u03bd\u03b5\u03b9 \u03bc\u03ad\u03c3\u03b7 \u03bc\u03b5\u03af\u03c9\u03c3\u03b7 validation loss 18,35% \u03b3\u03b9\u03b1 QHAdamW \u03ba\u03b1\u03b9 10,79% \u03b3\u03b9\u03b1 Adam. \u03a3\u03b5 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc \u03c3\u03c5\u03bd\u03bf\u03c0\u03c4\u03b9\u03ba\u03cc \u03c0\u03af\u03bd\u03b1\u03ba\u03b1 \u03cc\u03bc\u03c9\u03c2 \u03b7 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae validation loss \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bf\u03c1\u03b9\u03b1\u03ba\u03ac \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b3\u03b9\u03b1 QHAdamW, 0,002203 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,002177, \u03b5\u03bd\u03ce \u03ba\u03b1\u03b9 \u03b7 training loss \u03b5\u03af\u03bd\u03b1\u03b9 0,002147 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,001985. \u0386\u03c1\u03b1, \u03c4\u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u00ab\u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf loss \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd\u00bb \u03b4\u03b5\u03bd \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03c4\u03c1\u03cc\u03c0\u03bf \u03b1\u03c0\u03cc \u03ba\u03ac\u03b8\u03b5 \u03c0\u03af\u03bd\u03b1\u03ba\u03b1.<\/p>\n<aside class=\"td-article-note\"><strong>\u039c\u03b7\u03bd \u03b1\u03bd\u03b1\u03bc\u03b5\u03b9\u03b3\u03bd\u03cd\u03b5\u03c4\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2:<\/strong> \u03c4\u03bf paper \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 best-case \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2, \u03bc\u03ad\u03c3\u03bf\u03c5\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03b4\u03ad\u03ba\u03b1 runs \u03ba\u03b1\u03b9 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03bc\u03b5\u03af\u03c9\u03c3\u03b7\u03c2 \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ad\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2. \u039f\u03b9 \u03bc\u03ad\u03c3\u03bf\u03b9 \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c3\u03ae\u03bc\u03b1, \u03b5\u03bd\u03ce \u03bf\u03b9 \u03b1\u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b5\u03c2 \u03c4\u03bf\u03c5 PM10 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03bf\u03cd\u03bd \u03c9\u03c2 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03c5\u03c6\u03c4\u03bf\u03cd\u03bd \u03c0\u03af\u03c3\u03c9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 headline.<\/aside>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b1\u03c3\u03ac\u03c6\u03b5\u03b9\u03b1 \u03c3\u03c4\u03bf split. \u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 70% training \u03ba\u03b1\u03b9 15% testing, \u03b5\u03bd\u03ce \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af validation loss \u03ba\u03b1\u03b9 early stopping \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b4\u03b7\u03bb\u03ce\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c4\u03bf\u03c5 \u03c5\u03c0\u03bf\u03bb\u03bf\u03af\u03c0\u03bf\u03c5. \u03a0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae indices, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03b5\u03b9\u03c1\u03ac \u03c4\u03bf\u03c5 split, seed policy, leakage checks, \u03c7\u03b5\u03b9\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 missing values \u03b1\u03bd\u03ac partition \u03ba\u03b1\u03b9 \u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2 forecast horizon.<\/p>\n<h2 id=\"apo-modelo-se-warning-system\">\u0391\u03c0\u03cc \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c3\u03b5 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ad\u03b3\u03ba\u03b1\u03b9\u03c1\u03b7\u03c2 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2<\/h2>\n<p>\u0397 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ae \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7 \u03c5\u03c0\u03b7\u03c1\u03b5\u03c3\u03b9\u03ce\u03bd \u03c0\u03b5\u03c1\u03b9\u03b2\u03b1\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7\u03c2 \u03bc\u03b5 \u03ad\u03b3\u03ba\u03b1\u03b9\u03c1\u03b5\u03c2 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03c3\u03b5\u03b9\u03c2. \u0393\u03b9\u03b1 \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc, \u03bf optimizer \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bd\u03c4\u03b1\u03c7\u03b8\u03b5\u03af \u03c3\u03b5 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf operational \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1: ingestion \u03b1\u03c0\u03cc \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae\u03c1\u03b5\u03c2, quality gates, versioned transformations, model registry, monitoring drift, threshold policy, audit trail \u03ba\u03b1\u03b9 fallback \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b5\u03af\u03c3\u03bf\u03b4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bb\u03bb\u03b9\u03c0\u03ae\u03c2 \u03ae \u03b5\u03ba\u03c4\u03cc\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae\u03c2.<\/p>\n<p>\u0397 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c3\u03c5\u03b3\u03ba\u03ad\u03bd\u03c4\u03c1\u03c9\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac layers. \u039c\u03b9\u03ba\u03c1\u03cc \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1 \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03b5 \u03cc\u03c1\u03b9\u03bf AQI \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03ba\u03b1\u03b9 \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1. \u03a4\u03bf UI \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c7\u03c1\u03cc\u03bd\u03bf \u03b9\u03c3\u03c7\u03cd\u03bf\u03c2, \u03b5\u03cd\u03c1\u03bf\u03c2 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2, \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b5\u03bb\u03b5\u03c5\u03c4\u03b1\u03af\u03c9\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03af\u03c9\u03c3\u03b7 \u03b5\u03ba\u03ba\u03c1\u03b5\u03bc\u03b5\u03af.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">Deployment gate \u03b3\u03b9\u03b1 AQI forecasting<\/p>\n<p class=\"td-decision-title\">\u03a4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf offline RMSE \u03b4\u03b5\u03bd \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7<\/p>\n<p>\u03a0\u03c1\u03bf\u03c7\u03c9\u03c1\u03ae\u03c3\u03c4\u03b5 \u03b1\u03c0\u03cc shadow mode \u03c3\u03b5 advisory \u03c7\u03c1\u03ae\u03c3\u03b7 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03b5\u03c1\u03bd\u03ac rolling temporal holdouts, \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03c3\u03c4\u03b1\u03b8\u03bc\u03cc, calibration \u03b1\u03bd\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1, \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 missing data \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7\u03c2 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7\u03c2. \u039a\u03ac\u03b8\u03b5 alert \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af sensor provenance, \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03bb\u03cc\u03b3\u03bf \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2.<\/p>\n<\/div>\n<p>\u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c4\u03b7\u03c2 \u03af\u03b4\u03b9\u03b1\u03c2 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1: \u03bf model owner \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af mean loss, \u03b5\u03bd\u03ce \u03bf operations owner \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03bd\u03b1 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03ad\u03bd\u03b1 dashboard. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03bf\u03b9\u03bd\u03ac acceptance criteria \u03b3\u03b9\u03b1 data freshness, tail events, latency, false alarms \u03ba\u03b1\u03b9 rollback.<\/p>\n<p>\u03a4\u03bf NIST AI RMF \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03b4\u03bf\u03c5\u03bb\u03b5\u03b9\u03ac \u03c9\u03c2 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ae \u03ba\u03cd\u03ba\u03bb\u03bf govern, map, measure \u03ba\u03b1\u03b9 manage. \u0397 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 forecasting pipeline \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03c1\u03cc\u03bb\u03bf\u03b9, \u03c4\u03b1 thresholds \u03ba\u03b1\u03b9 \u03b7 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03c4\u03af\u03b8\u03b5\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b1\u03b6\u03af \u03c4\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03cc\u03bb\u03bf \u03c4\u03bf\u03bd \u03ba\u03cd\u03ba\u03bb\u03bf \u03b6\u03c9\u03ae\u03c2.<\/p>\n<h2 id=\"periorismoi-kai-generalizability\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03bf\u03c0\u03bf\u03b9\u03bf\u03b4\u03ae\u03c0\u03bf\u03c4\u03b5 deployment<\/h2>\n<p>\u039f \u03c0\u03c1\u03ce\u03c4\u03bf\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03b5\u03c9\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03cc\u03c2. \u0388\u03bd\u03b1\u03c2 \u03c3\u03c4\u03b1\u03b8\u03bc\u03cc\u03c2 \u03c3\u03c4\u03b7 \u039c\u03b1\u03bd\u03af\u03bb\u03b1 \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03cd\u03b5\u03b9 \u03ac\u03bb\u03bb\u03b5\u03c2 \u03c0\u03cc\u03bb\u03b5\u03b9\u03c2, \u03bc\u03b9\u03ba\u03c1\u03bf\u03ba\u03bb\u03af\u03bc\u03b1\u03c4\u03b1, \u03c0\u03c5\u03ba\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03ba\u03c5\u03ba\u03bb\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2, \u03c0\u03b7\u03b3\u03ad\u03c2 \u03b5\u03ba\u03c0\u03bf\u03bc\u03c0\u03ce\u03bd \u03ae \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc hardware. \u03a4\u03bf \u03c0\u03c1\u03cc\u03c3\u03c6\u03b1\u03c4\u03bf \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03b3\u03b9\u03b1 <a href=\"https:\/\/twodots.gr\/geographic-domain-shift-ai-modelo-se-nees-agores\/\">geographic domain shift<\/a> \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03b9 \u03c3\u03b5 \u03bc\u03af\u03b1 \u03b1\u03b3\u03bf\u03c1\u03ac \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03ad\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03b9\u03bd \u03c4\u03b1\u03be\u03b9\u03b4\u03ad\u03c8\u03b5\u03b9 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b7.<\/p>\n<p>\u039f \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c3\u03c4\u03b5\u03bd\u03ae baseline \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7. \u0397 \u03b1\u03c0\u03bf\u03bc\u03cc\u03bd\u03c9\u03c3\u03b7 QHAdamW \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 Adam \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf research question, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03c0\u03b1\u03bd\u03c4\u03ac \u03b1\u03bd \u03c4\u03bf feed-forward ANN \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae. \u0388\u03bd\u03b1 deployment review \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03b2\u03b5\u03b9 \u03b1\u03c0\u03bb\u03bf\u03cd\u03c3\u03c4\u03b5\u03c1\u03b1 statistical baselines, tree-based \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03b5\u03c2 temporal architectures \u03bc\u03b5 \u03af\u03b4\u03b9\u03bf split \u03ba\u03b1\u03b9 \u03af\u03b4\u03b9\u03bf compute budget.<\/p>\n<p>\u039f \u03c4\u03c1\u03af\u03c4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1. \u03a4\u03bf paper \u03b4\u03af\u03bd\u03b5\u03b9 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae, hyperparameter ranges, metrics \u03ba\u03b1\u03b9 \u03c0\u03bf\u03bb\u03bb\u03bf\u03cd\u03c2 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2, \u03b1\u03bb\u03bb\u03ac \u03ad\u03bd\u03b1 production team \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03bf code path, versioned dataset, \u03b1\u03ba\u03c1\u03b9\u03b2\u03b5\u03af\u03c2 partitions, deterministic preprocessing \u03ba\u03b1\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b7 protocol \u03b1\u03c0\u03bf\u03c6\u03c5\u03b3\u03ae\u03c2 leakage. \u03a7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03ac, \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ae\u03c8\u03b9\u03bc\u03bf.<\/p>\n<p>\u039f \u03c4\u03ad\u03c4\u03b1\u03c1\u03c4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b1\u03c0\u03cc\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 forecast \u03ba\u03b1\u03b9 outcome. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1 AQI \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1, \u03cc\u03c7\u03b9 \u03b1\u03bd \u03bc\u03b9\u03b1 \u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 \u03ad\u03b3\u03ba\u03b1\u03b9\u03c1\u03b1, \u03b1\u03bd \u03ad\u03b3\u03b9\u03bd\u03b5 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03b7\u03c4\u03ae \u03ae \u03b1\u03bd \u03bf \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c0\u03ae\u03c1\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u038c\u03c0\u03c9\u03c2 \u03c3\u03c4\u03bf <a href=\"https:\/\/twodots.gr\/peace-framework-psifiakes-paremvaseis\/\">PEACE framework \u03b3\u03b9\u03b1 \u03c8\u03b7\u03c6\u03b9\u03b1\u03ba\u03ad\u03c2 \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2<\/a>, \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7, \u03b1\u03c0\u03bf\u03b4\u03bf\u03c7\u03ae, \u03c0\u03b1\u03c1\u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<h2 id=\"pilot-epta-vimata\">\u0388\u03bd\u03b1 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf pilot \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1<\/h2>\n<p>\u0388\u03bd\u03b1 pilot \u03b3\u03b9\u03b1 AQI forecasting \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03be\u03b5\u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03c3\u03c4\u03ad\u03bb\u03bd\u03b5\u03b9 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b5\u03c2 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9\u03c2. \u03a4\u03bf \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 \u03c0\u03c1\u03ce\u03c4\u03bf \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 shadow \u03ae analyst-assist layer \u03c0\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03bc\u03b5 \u03bc\u03b5\u03c4\u03b1\u03b3\u03b5\u03bd\u03ad\u03c3\u03c4\u03b5\u03c1\u03b5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2, \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03b5\u03b9\u03b4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03bf\u03c5\u03bd thresholds \u03c0\u03c1\u03b9\u03bd \u03b4\u03bf\u03b8\u03b5\u03af \u03b1\u03c5\u03c4\u03bf\u03bd\u03bf\u03bc\u03af\u03b1.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03c3\u03c4\u03b1\u03b8\u03bc\u03cc \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7\u03c2 \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 AQI<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 forecast horizon \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/strong>\n<p>\u0394\u03b7\u03bb\u03ce\u03c3\u03c4\u03b5 \u03b1\u03bd \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b1\u03c6\u03bf\u03c1\u03ac \u03bc\u03af\u03b1, \u03ad\u03be\u03b9 \u03ae \u03b5\u03af\u03ba\u03bf\u03c3\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03ce\u03c1\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03be\u03b5\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03cc \u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u0388\u03ba\u03b4\u03bf\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c4\u03bf\u03c5 sensor stream<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 calibration, missing intervals, maintenance, timezone \u03ba\u03b1\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 interpolation \u03ce\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 prediction \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03ce\u03b3\u03b9\u03bc\u03b7 \u03b5\u03af\u03c3\u03bf\u03b4\u03bf.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 rolling temporal holdouts<\/strong>\n<p>\u0395\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c3\u03c4\u03b5 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03bf \u03c0\u03b1\u03c1\u03b5\u03bb\u03b8\u03cc\u03bd \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03c4\u03b5 \u03c3\u03b5 \u03bc\u03b5\u03c4\u03b1\u03b3\u03b5\u03bd\u03ad\u03c3\u03c4\u03b5\u03c1\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b8\u03c5\u03c1\u03b1, \u03bc\u03b5 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc \u03c3\u03c4\u03b1\u03b8\u03bc\u03cc \u03ae \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf \u03b3\u03b9\u03b1 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 optimizer \u03ba\u03b1\u03b9 architecture \u03b4\u03af\u03ba\u03b1\u03b9\u03b1<\/strong>\n<p>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03af\u03b4\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, seeds, compute budget \u03ba\u03b1\u03b9 stopping rules \u03b3\u03b9\u03b1 Adam, QHAdamW \u03ba\u03b1\u03b9 \u03b5\u03bd\u03b1\u03bb\u03bb\u03b1\u03ba\u03c4\u03b9\u03ba\u03ac statistical \u03ae temporal baselines.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b1 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b1 \u03b5\u03c0\u03b5\u03b9\u03c3\u03cc\u03b4\u03b9\u03b1<\/strong>\n<p>\u03a0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c3\u03c4\u03b5 precision, recall, calibration \u03ba\u03b1\u03b9 lead time \u03b1\u03bd\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 AQI, \u03bc\u03b5 \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b7 \u03ad\u03bc\u03c6\u03b1\u03c3\u03b7 \u03c3\u03c4\u03b9\u03c2 \u03c3\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2 \u03c5\u03c8\u03b7\u03bb\u03ad\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u03a4\u03c1\u03ad\u03be\u03c4\u03b5 shadow mode \u03bc\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf review<\/strong>\n<p>\u0391\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03c3\u03c4\u03b5 prediction, confidence, sensor quality, \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc alert \u03ba\u03b1\u03b9 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b5\u03b9\u03b4\u03b9\u03ba\u03bf\u03cd \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 7<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 monitoring, fallback \u03ba\u03b1\u03b9 rollback<\/strong>\n<p>\u03a3\u03c5\u03bc\u03c6\u03c9\u03bd\u03ae\u03c3\u03c4\u03b5 thresholds \u03b3\u03b9\u03b1 drift, \u03ba\u03b1\u03b8\u03c5\u03c3\u03c4\u03b5\u03c1\u03b7\u03bc\u03ad\u03bd\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c5\u03bd\u03ae\u03b8\u03b9\u03c3\u03c4\u03b7 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1, \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c3\u03b1\u03c6\u03ae \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae \u03c3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 \u03ae \u03c7\u03b5\u03b9\u03c1\u03bf\u03ba\u03af\u03bd\u03b7\u03c4\u03b7 \u03b5\u03bd\u03b7\u03bc\u03ad\u03c1\u03c9\u03c3\u03b7.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ac\u03be\u03b7, \u03c4\u03bf pilot \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b4\u03cd\u03bf \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1: \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b1\u03bd \u03bf QHAdamW \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c4\u03bf \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03ac \u03c4\u03bf\u03c5 \u03b5\u03ba\u03c4\u03cc\u03c2 \u03c4\u03bf\u03c5 \u03b1\u03c1\u03c7\u03b9\u03ba\u03bf\u03cd setup \u03ba\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc evidence \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03ce\u03c2 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03b7 \u03c1\u03bf\u03ae. \u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03c5\u03c7\u03bd\u03ac \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b9\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf.<\/p>\n<h2 id=\"teliko-symperasma\">\u03a4\u03b9 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03bf\u03c5\u03bc\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03af\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7: \u03c3\u03b5 feed-forward ANN \u03bc\u03b5 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 PM2.5 \u03ba\u03b1\u03b9 PM10 \u03c4\u03b7\u03c2 \u039c\u03b1\u03bd\u03af\u03bb\u03b1, \u03c4\u03bf QHAdamW \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf\u03c5\u03c2 \u03bc\u03ad\u03c3\u03bf\u03c5\u03c2 \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd Adam. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bc\u03b9\u03b1 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c3\u03c4\u03bf\u03bd optimizer \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03c0\u03b9\u03bf \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae.<\/p>\n<p>\u03a4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1, \u03c4\u03bf paper \u03b4\u03b5\u03bd \u03ba\u03bb\u03b5\u03af\u03bd\u03b5\u03b9 \u03c4\u03b1 \u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 temporal leakage, \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7, \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03b1\u03bd\u03ac \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1, code reproducibility \u03ba\u03b1\u03b9 operational impact. \u039f\u03b9 \u03b1\u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b5\u03c2 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 loss \u03c4\u03bf\u03c5 PM10 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bb\u03cc\u03b3\u03bf\u03c2 \u03b3\u03b9\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1, \u03cc\u03c7\u03b9 \u03bb\u03cc\u03b3\u03bf\u03c2 \u03bd\u03b1 \u03b1\u03b3\u03bd\u03bf\u03b7\u03b8\u03b5\u03af \u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03bc\u03ad\u03c3\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7.<\/p>\n<p>\u0393\u03b9\u03b1 data \u03ba\u03b1\u03b9 product teams, \u03c4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc: \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03c4\u03bf\u03bd optimizer, \u03b1\u03bb\u03bb\u03ac \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1. \u0388\u03bd\u03b1 forecasting \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b5\u03af\u03c3\u03bf\u03b4\u03bf, \u03c4\u03bf split, \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03c4\u03bf threshold, \u03c4\u03b7\u03bd \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03af\u03b1 \u03c4\u03bf\u03c5 \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u039c\u03cc\u03bd\u03bf \u03c4\u03cc\u03c4\u03b5 \u03c4\u03bf \u00ab\u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u00bb \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03c3\u03b5 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc forecast prototype \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03b5 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, thresholds \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7<\/p>\n<p>\u0397 TWO DOTS \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03b9 AI \u03ba\u03b1\u03b9 automation workflows \u03bc\u03b5 data quality gates, observability, versioned \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2, approvals \u03ba\u03b1\u03b9 fallback, \u03ce\u03c3\u03c4\u03b5 \u03bc\u03b9\u03b1 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03bd\u03b1 \u03b5\u03bd\u03c4\u03ac\u03c3\u03c3\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03c1\u03bf\u03ae.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf forecasting pilot<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">Frequently Asked Questions (FAQs)<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf QHAdamW;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 optimizer \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd quasi-hyperbolic \u03b5\u03bd\u03b7\u03bc\u03ad\u03c1\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 QHAdam \u03bc\u03b5 \u03c4\u03bf decoupled weight decay \u03c4\u03bf\u03c5 AdamW.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 14.328 \u03c9\u03c1\u03b9\u03b1\u03af\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 PM2.5 \u03ba\u03b1\u03b9 PM10 \u03b1\u03c0\u03cc \u03c3\u03c4\u03b1\u03b8\u03bc\u03cc \u03c3\u03c4\u03b7 \u039c\u03b1\u03bd\u03af\u03bb\u03b1, \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf \u0399\u03b1\u03bd\u03bf\u03c5\u03ac\u03c1\u03b9\u03bf\u03c2 2020 \u03ad\u03c9\u03c2 \u0394\u03b5\u03ba\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2024.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03bf\u03b9 \u03bc\u03ad\u03c3\u03bf\u03b9 \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 Adam;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf QHAdamW \u03b5\u03af\u03c7\u03b5 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 \u03bc\u03ad\u03c3\u03b1 RMSE \u03ba\u03b1\u03b9 MAE \u03ba\u03b1\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf R\u00b2 \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03bf\u03c5\u03c2 \u03b4\u03cd\u03bf \u03c1\u03cd\u03c0\u03bf\u03c5\u03c2 \u03c3\u03c4\u03b1 \u03b4\u03ad\u03ba\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b1 runs.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03cc\u03c3\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03b5\u03af\u03c2 \u03ae\u03c4\u03b1\u03bd \u03bf\u03b9 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 AQI;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 53,05% \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 PM2.5 \u03ba\u03b1\u03b9 88,03% \u03b3\u03b9\u03b1 PM10 \u03bc\u03b5 QHAdamW, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03c0\u03bf\u03c5 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b1\u03bd\u03ac \u03c1\u03cd\u03c0\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03ad\u03bd\u03b1 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf RMSE;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03bd\u03b1 warning system \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 calibration \u03c3\u03c4\u03b1 thresholds, \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c3\u03c4\u03b1 \u03b1\u03ba\u03c1\u03b1\u03af\u03b1 \u03b5\u03c0\u03b5\u03b9\u03c3\u03cc\u03b4\u03b9\u03b1, \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 false alarm \u03ae \u03c7\u03b1\u03bc\u03ad\u03bd\u03b7\u03c2 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b7 \u03c0\u03cc\u03bb\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03ad\u03b1 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03ae \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03ae \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03c4\u03bf dataset \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03c3\u03c4\u03b1\u03b8\u03bc\u03cc \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b3\u03b5\u03c9\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ae \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ae \u03b1\u03c3\u03ac\u03c6\u03b5\u03b9\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03bf\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac \u03b4\u03b5\u03bd \u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03cc\u03bb\u03bf \u03c4\u03bf train-validation-test split \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c3\u03c5\u03bd\u03bf\u03c0\u03c4\u03b9\u03ba\u03bf\u03af \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 PM10 \u03b4\u03b5\u03bd \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03cc\u03bb\u03bf\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf claim \u03b3\u03b9\u03b1 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf loss.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03ad\u03bd\u03b1 production pilot;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c4\u03b9 \u03c4\u03bf \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03c3\u03b5 rolling \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac splits \u03ba\u03b1\u03b9 \u03ac\u03bb\u03bb\u03bf\u03c5\u03c2 \u03c3\u03c4\u03b1\u03b8\u03bc\u03bf\u03cd\u03c2, \u03b5\u03bd\u03ce \u03c4\u03b1 alerts \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b1, \u03b5\u03c0\u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b9\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae \u03c3\u03b5 missing \u03ae shifted \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Sources<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.21463\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Enhanced Artificial Neural Networks Using QHAdamW in Air Quality Forecasting<\/a><\/li>\n<li><a href=\"https:\/\/doi.org\/10.14445\/22315381\/IJETT-V74I7P122\" target=\"_blank\" rel=\"noopener\">IJETT \u2014 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 QHAdamW \u03b3\u03b9\u03b1 AQI<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1810.06801\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Quasi-hyperbolic momentum and Adam for deep learning<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1711.05101\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Decoupled Weight Decay Regularization<\/a><\/li>\n<li><a href=\"https:\/\/airc.nist.gov\/airmf-resources\/airmf\/5-sec-core\/\" target=\"_blank\" rel=\"noopener\">NIST AI RMF Core \u2014 Govern, Map, Measure \u03ba\u03b1\u03b9 Manage<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf QHAdamW \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 AQI \u03c3\u03b5 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 PM2.5 \u03ba\u03b1\u03b9 PM10 \u03c4\u03b7\u03c2 \u039c\u03b1\u03bd\u03af\u03bb\u03b1, \u03b1\u03bb\u03bb\u03ac \u03ad\u03bd\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 warning system \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03c0\u03bf\u03bb\u03cd \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf RMSE.<\/p>","protected":false},"author":1,"featured_media":98124,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[20465,20466,20468,20467,20464],"class_list":["post-97194","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-air-quality-ai","tag-aqi-forecasting","tag-neural-networks","tag-pm2-5","tag-qhadamw"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97194","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/comments?post=97194"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97194\/revisions"}],"predecessor-version":[{"id":98125,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97194\/revisions\/98125"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/98124"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=97194"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=97194"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=97194"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}