Random forest tree for predicting fecal indicator organisms in drinking water supply. - Hadi Mohammed; Ibrahim A. Hameed; Razak Seidu (BESC, 2017)

Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply. - Hadi Mohammed; Ibrahim A. Hameed; Razak Seidu (Trans. Large Scale Data Knowl. Centered Syst., 2017)

Detection of Water Safety Conditions in Distribution Systems Based on Artificial Neural Network and Support Vector Machine. - Hadi Mohammed; Ibrahim A. Hameed; Razak Seidu (AISI, 2018)

Machine learning: based detection of water contamination in water distribution systems. - Hadi Mohammed; Ibrahim A. Hameed; Razak Seidu (GECCO (Companion), 2018)

Smart Data Analysis for Water Quality in Catchment Area Monitoring. - Di Wu 035; Hadi Mohammed; Hao Wang 003; Razak Seidu (iThings/GreenCom/CPSCom/SmartData, 2018)

Quality Risk Analysis for Sustainable Smart Water Supply Using Data Perception. - Di Wu 035; Hao Wang 003; Hadi Mohammed; Razak Seidu (IEEE Trans. Sustain. Comput., 2020)

Nodal vulnerability assessment of water distribution networks: An integrated Fuzzy AHP-TOPSIS approach. - Hoese Michel Tornyeviadzi; Fabrice Abunde Neba; Hadi Mohammed; Razak Seidu (Int. J. Crit. Infrastructure Prot., 2021)

A systematic framework for dynamic nodal vulnerability assessment of water distribution networks based on multilayer networks. - Hoese Michel Tornyeviadzi; Emmanuel Owusu-Ansah; Hadi Mohammed; Razak Seidu (Reliab. Eng. Syst. Saf., 2022)

Robust night flow analysis in water distribution networks: A BiLSTM deep autoencoder approach. - Hoese Michel Tornyeviadzi; Hadi Mohammed; Razak Seidu (Adv. Eng. Informatics, 2023)