| The evaluation on artificial neural networks (ANN) and multiple linear regressions (MLR) models for predicting SO2 concentration SR Shams, A Jahani, S Kalantary, M Moeinaddini, N Khorasani Urban Climate 37, 100837, 2021 | 107 | 2021 |
| Artificial intelligence accuracy assessment in NO2 concentration forecasting of metropolises air SR Shams, A Jahani, S Kalantary, M Moeinaddini, N Khorasani Scientific Reports 11 (1), 1805, 2021 | 60 | 2021 |
| Air carbon monoxide forecasting using an artificial neural network in comparison with multiple regression SR Shams, A Jahani, M Moeinaddini, N Khorasani Modeling Earth Systems and Environment 6 (3), 1467-1475, 2020 | 45 | 2020 |
| Forecasting ozone density in tehran air using a smart data-driven approach SR Shams, A Jahani, M Moeinaddini, N Khorasani, S Kalantary Journal of Health and safety at Work 10 (4), 406-408, 2021 | 7 | 2021 |
| Assessing the effectiveness of artificial neural networks (ANN) and multiple linear regressions (MLR) in forcasting AQI and PM10 and evaluating health impacts through AirQ+ … SR Shams, S Kalantary, A Jahani, SMP Shams, B Kalantari, D Singh, ... Environmental Pollution 338, 122623, 2023 | 3 | 2023 |
| Assessing the effectiveness of artificial neural networks (ANN) and multiple linear regressions (MLR) in forecasting AQI and PM10 and evaluating health impacts through AirQ+ … SR Shams, S Kalantary, A Jahani, SMP Shams, B Kalantari, D Singh, ... ENVIRONMENTAL POLLUTION 342, 2024 | | 2024 |
| Corrigendum to" Assessing the effectiveness of artificial neural networks (ANN) and multiple linear regressions (MLR) in forecasting AQI and PM10 and evaluating health impacts … SR Shams, S Kalantary, A Jahani, SMP Shams, B Kalantari, D Singh, ... Environmental pollution (Barking, Essex: 1987) 342, 123102, 2023 | | 2023 |
| Model of forecasting changes in urban air pollution A solution to achieve sustainable development and progress of urban management in the country SR Shams, A Jahani, M Moeinaddini, N Khorasani Biannual Journal of Urban Ecology Researches, 2022 | | 2022 |
| Modeling Forecast of Ozone Density in Tehran Air Using Regression Method SR Shams, K Esmaeili Damavandi Motlagh, A Jahani, M Moeinaddini 8th National Conference on Air and Noise Pollution Management, 2020 | | 2020 |
| Presenting a model for forecasting the concentration of carbon monoxide in the urban air level, a solution to achieve sustainable development and urban management in the country SR Shams, A Jahani, M Moeinaddini, N Khorasani 12th Congress of the pioneers of progress, 2018 | | 2018 |
| Evaluation of the accuracy of multiple regression models in forecasting CO concentrations in Tehran's airspace SR Shams, A Jahani, M Moeinaddini, N Khorasani International Conference on Society and the Environment, 2018 | | 2018 |
| Model of forecasting changes in urban air pollution A solution to achieve sustainable development and progress of urban management in the country SR Shams, A Jahani 11th Congress of the pioneers of progress, 2017 | | 2017 |
| Innovative Approaches for Accurate Ozone Prediction and Health Risk Analysis in South Korea: The Combined Effectiveness of Deep Learning and Airq+ SR Shams, Y Choi, D Singh, J Park, M Momeni Available at SSRN 4717774, 0 | | |
mazaher moeinaddiniUniversity of Tehran在 ut.ac.ir 的电子邮件经过验证
