Mohaiminul Haque

Comparison of artificial neural network (ANN) and response surface methodology (RSM) in predicting the compressive and splitting tensile strength of concrete prepared with glass waste and tin (Sn) can fiber

Sourav Ray, Mohaiminul Haque, Tanvir Ahmed et al. · Journal of King Saud University - Engineering Sciences · 2021 · 137 citations · Full text

Architecture, Materials Engineering, Materials Science +17

Performance evaluation of SVM and GBM in predicting compressive and splitting tensile strength of concrete prepared with ceramic waste and nylon fiber

Sourav Ray, Md. Masnun Rahman, Mohaiminul Haque et al. · Journal of King Saud University - Engineering Sciences · 2021 · 56 citations · Full text

Computing, Materials Engineering, Materials Science +17

Experimental investigation and SVM-based prediction of compressive and splitting tensile strength of ceramic waste aggregate concrete

Sourav Ray, Mohaiminul Haque, Md. Masnun Rahman et al. · Journal of King Saud University - Engineering Sciences · 2021 · 51 citations · Full text

Computing, Materials Engineering, Materials Science +17

Prediction and optimization of the fresh and hardened properties of concrete containing rice husk ash and glass fiber using response surface methodology

Mohaiminul Haque, Sourav Ray, Ayesha Ferdous Mita et al. · Case Studies in Construction Materials · 2021 · 46 citations · Full text

Architecture, Civil Engineering, Materials Engineering +17

Seismic Performance Analysis of RCC Multi-Storied Buildings with Plan Irregularity

Mohaiminul Haque · American Journal of Civil Engineering · 2016 · 37 citations · Full text

Engineering, Civil Engineering, Building Structures +16