Artificial intelligence accuracy assessment in NO2 concentration forecasting of metropolises air
Abstract Air quality has been the main concern worldwide and Nitrous oxide (NO2) is one of the pollutants that have a significant effect on human health and environment. This study was conducted to compare the regression analysis and neural network model for predicting NO2 pollutants in the air of T...
Enregistré dans:
Auteurs principaux: | Seyedeh Reyhaneh Shams, Ali Jahani, Saba Kalantary, Mazaher Moeinaddini, Nematollah Khorasani |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/39f2262b5a8142dca50b7a2ad5b04e3a |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
The Problem of Monitoring the Atmospheric Air of Russian Metropolises on the Example of the Green Zones of St. Petersburg
par: Tikhon Glum, et autres
Publié: (2022) -
COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis
par: Anca Loredana Udriștoiu, et autres
Publié: (2021) -
A comparison of artificial intelligence techniques for predicting hyperforin content in Hypericum perforatum L. in different ecological habitats
par: Maryam Saffariha, et autres
Publié: (2021) -
Applying Artificial Intelligence in Forecasting the Output of Industrial Solar Power Plant in Vietnam
par: Ninh Quang, et autres
Publié: (2021) -
Detection of Malignant Melanoma Using Artificial Intelligence: An Observational Study of Diagnostic Accuracy
par: Michael Phillips, et autres
Publié: (2019)