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ORCIDWasiur Rhmann
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Journal Articles
- 2022
[j8]Wasiur Rhmann:
Software Vulnerability Prediction Using Grey Wolf-Optimized Random Forest on the Unbalanced Data Sets. Int. J. Appl. Metaheuristic Comput. 13(1): 1-15 (2022)- [j7]Wasiur Rhmann:
Optimised deep neural network for cancer disease prediction using a genetic algorithm. Int. J. Bioinform. Res. Appl. 18(6): 578-595 (2022) - [j6]Wasiur Rhmann, Babita Pandey, Gufran Ahmad Ansari:
Software effort estimation using ensemble of hybrid search-based algorithms based on metaheuristic algorithms. Innov. Syst. Softw. Eng. 18(2): 309-319 (2022) - [j5]Babita Pandey, Devendra Kumar Pandey, Brijendra Pratap Mishra, Wasiur Rhmann:
A comprehensive survey of deep learning in the field of medical imaging and medical natural language processing: Challenges and research directions. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part A): 5083-5099 (2022) - 2021
- [j4]Wasiur Rhmann:
Quantitative Software Change Prediction in Open Source Web Projects Using Time Series Forecasting. Int. J. Open Source Softw. Process. 12(2): 36-51 (2021) - [j3]Wasiur Rhmann:
An Ensemble of Hybrid Search-Based Algorithms for Software Effort Prediction. Int. J. Softw. Sci. Comput. Intell. 13(3): 28-37 (2021) - 2020
- [j2]Wasiur Rhmann, Gufran Ahmad Ansari
:
Ensemble Techniques-Based Software Fault Prediction in an Open-Source Project. Int. J. Open Source Softw. Process. 11(2): 33-48 (2020) - [j1]Wasiur Rhmann, Babita Pandey, Gufran Ahmad Ansari, Devendra Kumar Pandey:
Software fault prediction based on change metrics using hybrid algorithms: An empirical study. J. King Saud Univ. Comput. Inf. Sci. 32(4): 419-424 (2020)
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