Deveshwar Singh

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

Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea

Deveshwar Singh, Yunsoo Choi, Jincheol Park et al. · Atmospheric Research · 2024 · 19 citations

Environmental Chemistry, Pollution Detection, Environmental Monitoring +12

Deep learning bias correction of GEMS tropospheric NO2: A comparative validation of NO2 from GEMS and TROPOMI using Pandora observations

Masoud Ghahremanloo, Yunsoo Choi, Deveshwar Singh · Environment International · 2024 · 13 citations · Full text

An Intercomparison of Deep-Learning Methods for Super-Resolution Bias-Correction (SRBC) of Indian Summer Monsoon Rainfall (ISMR) Using CORDEX-SA Simulations

Deveshwar Singh, Yunsoo Choi, Rijul Dimri et al. · Asia-Pacific Journal of Atmospheric Sciences · 2023 · 12 citations

Hydrometeorology, Climatology, Meteorology +13

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