Seyedeh Reyhaneh Shams

The evaluation on artificial neural networks (ANN) and multiple linear regressions (MLR) models for predicting SO2 concentration

Seyedeh Reyhaneh Shams, Ali Jahani, Saba Kalantary et al. · Urban Climate · 2021 · 172 citations

Environmental Chemistry, Pollution Detection, Engineering +6

Artificial intelligence accuracy assessment in NO2 concentration forecasting of metropolises air

Seyedeh Reyhaneh Shams, Ali Jahani, Saba Kalantary et al. · Scientific Reports · 2021 · 79 citations · Full text

Air carbon monoxide forecasting using an artificial neural network in comparison with multiple regression

Seyedeh Reyhaneh Shams, Ali Jahani, Mazaher Moeinaddini et al. · Modeling Earth Systems and Environment · 2020 · 49 citations

Forecasting Methodology, Engineering, Air Carbon Monoxide +12

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)

Seyedeh Reyhaneh Shams, Saba Kalantary, Ali Jahani et al. · Environmental Pollution · 2023 · 41 citations

Artificial Neural Networks, Health Impacts, Predictive Analytics +8

Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQ+

Seyedeh Reyhaneh Shams, Yunsoo Choi, Deveshwar Singh et al. · The Science of The Total Environment · 2024 · 11 citations