Faculty Name | Department | Title |
---|---|---|
Manpreet Singh | Computer Science & Engineering | Singh, M., & Chhabra, J. K. (2024). An efficient instance selection algorithm for fast training of support vector machine for cross-project software defect prediction pairs. Journal of Computer Languages, 81, 101301. |
Manpreet Singh | Computer Science & Engineering | Singh, M., & Chhabra, J. K. (2025). Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm. JUCS - Journal of Universal Computer Science, 31(5): 469-493. |
Manpreet Singh | Computer Science & Engineering | Singh, Manpreet, and Jitender Kumar Chhabra. "A hybrid approach based on k-nearest neighbors and decision tree for software fault prediction." Kuwait Journal of Science 50, no. 2A (2023). |
Manpreet Singh | Computer Science & Engineering | Singh, Manpreet, and Jitender Kumar Chhabra. "Improved Software Fault Prediction Model Based on Optimal Features Set and Threshold Values Using Metaheuristic Approach." SN Computer Science 4, no. 6 (2023): 770. |
Manpreet Singh | Computer Science & Engineering | Singh, M., & Chhabra, J. K. (2024). “A parameter-free nearest neighbor algorithm with reduced prediction time and improved performance through injected randomness.” Neural Computing and Applications, 1-26. |
Manpreet Singh | Computer Science & Engineering | Bhangu, Manpreet Singh, Rimmi Anand, and Vijay Kumar. "Lagrangian relaxation for distribution networks with cross-docking centre." International Journal of Intelligent Systems Technologies and Applications 18, no. 1-2 (2019): 52-68. |
Manpreet Singh | Computer Science & Engineering | Singh, Manpreet, Rajesh Ranjan, and Jitender Kumar Chhabra. "A Modified Binary Jaya Optimization Algorithm and its Application in Feature Selection." International Journal of Innovation in Multidisciplinary Scientific Research (2023). |
Manpreet Singh | Computer Science & Engineering | Singh, Manpreet, and Jitender Kumar Chhabra. "Software Fault Prediction Using Machine Learning Models and Comparative Analysis." In Futuristic Trends in Network and Communication Technologies: Third International Conference, FTNCT 2020, Taganrog, Russia, October 14–16, 2020, Revised Selected Papers, Part I 3, pp. 30-45. Springer Singapore, 2021. |
Suraj Srivastava | Computer Science & Engineering | Suraj Srivastava, Deepti Gupta and Harsh K Verma, “Comparative Investigations and Performance Evaluation for Multiple-Level Association Rules Mining Algorithm”, International Journal of Computer Applications (IJCA), Vol 4, No 10, Article 7, pp. 40–45, August 2010. doi: 10.5120/860-1208. (ISSN: 0975-8887). (ISBN: 978-93-80746-49-4). Published By Foundation of Computer Science. |
Suraj Srivastava | Computer Science & Engineering | Suraj Srivastava, Harsh K Verma and Deepti Gupta, “On Performance Evaluation of Mining Algorithm for Multiple-Level Association Rules based on Scale-up Characteristics”, Journal of Advances in Information Technology (JAIT), Vol 2, No 4, pp. 234-238, November 2011. (ISSN: 1798-2340). Published By Academy Publisher.(Scopus Indexed) |