{"product_id":"allamradzhu-k-vishvanat-prognozirovanie-zagryaznitelej-vozduha-s-pomoshh-ju-iot-i-mashinnogo-obucheniya-9786207617289","title":"PROGNOZIROVANIE ZAGRYaZNITELEJ VOZDUHA S POMOShh'Ju IOT I MAShINNOGO OBUChENIYa","description":"My predstawlqem umnyj kontejner na baze IoT, ispol'zuüschij model' mashinnogo i glubokogo obucheniq dlq uprawleniq wywozom musora i prognozirowaniq urownq zagrqzneniq wozduha w okruzhaüschej kontejner srede. My proweli äxperimenty s tradicionnoj model'ü (algoritm k-nearest neighbours (k-NN) i logisticheskaq regressiq) i netradicionnym algoritmom (glubokoe obuchenie na osnowe seti long short term memory (LSTM)) dlq sozdaniq preduprezhdaüschih soobschenij o sostoqnii kontejnera i prognozirowaniq kolichestwa zagrqznqüschego wozduh ugarnogo gaza (CO), prisutstwuüschego w wozduhe w konkretnyj moment wremeni. Tochnost' logisticheskoj regressii i algoritma k-NN sostawlqet 79 % i 83 %, sootwetstwenno, w testowoj srede real'nogo wremeni dlq prognozirowaniq sostoqniq bunkera. Tochnost' modificirowannoj LSTM i prostoj LSTM-modelej sostawlqet 90 % i 88 % sootwetstwenno dlq predskazaniq buduschej koncentracii gazow w wozduhe. V rezul'tate raboty sistemy zaderzhka w sozdanii i peredache trewozhnogo soobscheniq rabotniku sanitarnoj sluzhby sostawila 4 s. Sistema obespechiwaet monitoring urownq musora w real'nom wremeni, a takzhe uwedomleniq ot mehanizma opowescheniq.","brand":"Sciencia Scripts","offers":[{"title":"Default Title","offer_id":53804078399830,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9786207617289_1_3bb593d0-3467-480d-8a12-a082de32acfb.jpg?v=1783386531","url":"https:\/\/www.momoxbooks.com\/products\/allamradzhu-k-vishvanat-prognozirovanie-zagryaznitelej-vozduha-s-pomoshh-ju-iot-i-mashinnogo-obucheniya-9786207617289","provider":"momoxbooks","version":"1.0","type":"link"}