Hybrid Deep Learning Approach for Multi-Step-Ahead Daily Rainfall Prediction Using GCM Simulations MI Khan, R Maity IEEE Access 8, 52774 - 52784, 2020 | 75 | 2020 |
Potential of Deep Learning in drought assessment by extracting information from hydrometeorological precursors R Maity, MI Khan, S Sarkar, R Dutta, SS Maity, M Pal, K Chanda Journal of Water and Climate Change 12 (6), 2774-2796, 2021 | 21 | 2021 |
Hybrid deep learning approach for multi-step-ahead prediction for daily maximum temperature and heatwaves MI Khan, R Maity Theoretical and Applied Climatology 149, 945-963, 2022 | 8 | 2022 |
Artificial intelligence/machine learning techniques in hydroclimatology: A demonstration of deep learning for future assessment of stream flow under climate change MI Khan, S Sarkar, R Maity Visualization Techniques for Climate Change with Machine Learning and …, 2023 | 3 | 2023 |
Development of a Long-Range Hydrological Drought Prediction Framework Using Deep Learning MI Khan, R Maity Water Resources Management, 1-13, 2024 | 1 | 2024 |
Prediction of daily air temperature: Comparison of a hybrid ML approach with four other ML approaches MI Khan, R Maity In the Proceedings of the 19th Annual Meeting of Asia Oceania Geosciences …, 2022 | | 2022 |
Multi-step Ahead Forecasting of Streamflow Using Deep Learning-Based LSTM Approach MI Khan, R Maity International Conference on Hydraulics, Water Resources and Coastal …, 2021 | | 2021 |
Potential of Deep Learning Approach to Predict Multi-step ahead Daily Rainfall MI Khan, R Maity Japan Geoscience Union Meeting, JpGU 2021, Yokohama, Tokyo, Japan, 2021 | | 2021 |
Streamflow Forecasting with LSTM based Deep Learning Approach MI Khan, R Maity In the proceedings of HYDRO 2021 – International Conference (Hydraulics …, 2021 | | 2021 |
Pumping Test Analysis of Multi-Aquifer System using MODFLOW MI Khan, P Paul ICET:EITM-2017, 2017 | | 2017 |
Corrected Proof R Maity, MI Khan, S Sarkar, R Dutta, SS Maity, M Pal, K Chanda | | |