Muhammad Tayyab

Spatiotemporal analysis of precipitation variability in annual, seasonal and extreme values over upper Indus River basin

Ijaz Ahmad, Fan Zhang, Muhammad Tayyab et al. · Atmospheric Research · 2018 · 162 citations

Climatology, Meteorology, Extreme Values +10

An adaptive dynamic short-term wind speed forecasting model using secondary decomposition and an improved regularized extreme learning machine

Na Sun, Jianzhong Zhou, Chen Lü et al. · Energy · 2018 · 84 citations

Meteorology, Forecasting Methodology, Numerical Weather Prediction +7

Rainfall-runoff modeling at Jinsha River basin by integrated neural network with discrete wavelet transform

Muhammad Tayyab, Jianzhong Zhou, Xiaohua Dong et al. · Meteorology and Atmospheric Physics · 2017 · 44 citations

Surface Runoff, Engineering, Water Resources +8

Application of soft computing models in streamflow forecasting

Rana Muhammad Adnan, Xiaohui Yuan, Özgür Kişi et al. · Proceedings of the Institution of Civil Engineers - Water Management · 2017 · 38 citations · Full text

Engineering, Streaming Algorithm, Evolving Intelligent System +19

Discharge Forecasting By Applying Artificial Neural Networks At The Jinsha River Basin, China

Muhammad Tayyab, Jianzhong Zhou, Xiaofan Zeng et al. · European Scientific Journal ESJ · 2016 · 37 citations · Full text

Hydrological Prediction, Engineering, Flood Control +19