Forecasting Ozone Density in Tehran Air Using a Smart Data-Driven Approach
Seyedeh Reyhaneh Shams, Ali Jahani, Mazaher Moeinaddini, Nematallah Khorasani, Saba Kalantary
Published in Bihdāsht va īmanī-i kār (01.11.2020)
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Published in Bihdāsht va īmanī-i kār (01.11.2020)
Journal Article
Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQ
Shams, Seyedeh Reyhaneh, Choi, Yunsoo, Singh, Deveshwar, Ghahremanloo, Masoud, Momeni, Mahmoudreza, Park, Jincheol
Published in The Science of the total environment (10.10.2024)
Published in The Science of the total environment (10.10.2024)
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Corrigendum to “Assessing the effectiveness of artificial neural networks (ANN) and multiple linear regressions (MLR) in forecasting AQI and PM10 and evaluating health impacts through AirQ+ (case study: Tehran)” [Environ. Pollut., 338 (2023) 122623]
Shams, Seyedeh Reyhaneh, Kalantary, Saba, Jahani, Ali, Parsa Shams, Seyed Mohammad, Kalantari, Behrang, Singh, Deveshwar, Moeinnadini, Mazaher, Choi, Yunsoo
Published in Environmental pollution (1987) (01.02.2024)
Published in Environmental pollution (1987) (01.02.2024)
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Journal Article
Assessing the effectiveness of artificial neural networks (ANN) and multiple linear regressions (MLR) in forcasting AQI and PM10 and evaluating health impacts through AirQ+ (case study: Tehran)
Shams, Seyedeh Reyhaneh, Kalantary, Saba, Jahani, Ali, Parsa Shams, Seyed Mohammad, Kalantari, Behrang, Sing, Deveshwar, Moeinnadini, Mazaher, Choi, Yunsoo
Published in Environmental pollution (1987) (01.12.2023)
Published in Environmental pollution (1987) (01.12.2023)
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Journal Article