| Rainfall forecasting in upper Indus basin using various artificial intelligence techniques M Hammad, M Shoaib, H Salahudin, MAI Baig, MM Khan, MK Ullah Stochastic Environmental Research and Risk Assessment 35, 2213-2235, 2021 | 30 | 2021 |
| Application of machine learning techniques in rainfall–runoff modelling of the soan river basin, Pakistan MT Khan, M Shoaib, M Hammad, H Salahudin, F Ahmad, S Ahmad Water 13 (24), 3528, 2021 | 23 | 2021 |
| Performance evaluation of soft computing approaches for forecasting COVID-19 pandemic cases M Shoaib, H Salahudin, M Hammad, S Ahmad, AA Khan, MM Khan, ... SN Computer Science 2, 1-13, 2021 | 8 | 2021 |
| Using Ensembles of Machine Learning Techniques to Predict Reference Evapotranspiration (ET0) Using Limited Meteorological Data H Salahudin, M Shoaib, R Albano, MA Inam Baig, M Hammad, A Raza, ... Hydrology 10 (8), 169, 2023 | 1 | 2023 |
| Intercomparison and Assessment of Stand-Alone and Wavelet-Coupled Machine Learning Models for Simulating Rainfall-Runoff Process in Four Basins of Pothohar Region, Pakistan MT Khan, M Shoaib, R Albano, MA Inam, H Salahudin, M Hammad, ... Atmosphere 14 (3), 452, 2023 | 1 | 2023 |
| Use of AI for Disaster Risk Reduction in Agriculture M Hammad, M Shoaib, H Salahudin, MAI Baig, MU Ali Disaster Risk Reduction in Agriculture, 461-488, 2023 | | 2023 |
| P1-Flood Risk Assessment Using Gumbel’s Method and River Flow Prediction at Taunsa Barrage, Indus River M Hammad, M Shoaib, H Salahudin | | |
Muhammad ShoaibDepartment of Agricultural Engineering, Bahauddin Zakariya University, Multan, PakistanVerified email at aucklanduni.ac.nz
