Ensemble Techniques-Based Software Fault Prediction in an Open-Source Project. - Wasiur Rhmann; Gufran Ahmad Ansari (Int. J. Open Source Softw. Process., 2020)

Software fault prediction based on change metrics using hybrid algorithms: An empirical study. - Wasiur Rhmann; Babita Pandey; Gufran Ahmad Ansari; Devendra Kumar Pandey (J. King Saud Univ. Comput. Inf. Sci., 2020)

Quantitative Software Change Prediction in Open Source Web Projects Using Time Series Forecasting. - Wasiur Rhmann (Int. J. Open Source Softw. Process., 2021)

An Ensemble of Hybrid Search-Based Algorithms for Software Effort Prediction. - Wasiur Rhmann (Int. J. Softw. Sci. Comput. Intell., 2021)

Software Vulnerability Prediction Using Grey Wolf-Optimized Random Forest on the Unbalanced Data Sets. - Wasiur Rhmann (Int. J. Appl. Metaheuristic Comput., 2022)

Optimised deep neural network for cancer disease prediction using a genetic algorithm. - Wasiur Rhmann (Int. J. Bioinform. Res. Appl., 2022)

Software effort estimation using ensemble of hybrid search-based algorithms based on metaheuristic algorithms. - Wasiur Rhmann; Babita Pandey; Gufran Ahmad Ansari (Innov. Syst. Softw. Eng., 2022)

A comprehensive survey of deep learning in the field of medical imaging and medical natural language processing: Challenges and research directions. - Babita Pandey; Devendra Kumar Pandey; Brijendra Pratap Mishra; Wasiur Rhmann (J. King Saud Univ. Comput. Inf. Sci., 2022)

Imbalanced data preprocessing model for web service classification. - Wasiur Rhmann; Amaan Ishrat (Int. J. Syst. Assur. Eng. Manag., 2024)

An empirical study on the class imbalance handling techniques for different diseases. - Wasiur Rhmann (Soft Comput., 2024)