| Impact of parameter tuning for optimizing deep neural network models for predicting software faults M Gupta, K Rajnish, V Bhattacharjee Scientific Programming 2021, 1-17, 2021 | 27 | 2021 |
| Cognitive Complexity and Graph Convolutional Approach Over Control Flow Graph for Software Defect Prediction M Gupta, K Rajnish, V Bhattacharjee IEEE Access 10, 108870-108894, 2022 | 10 | 2022 |
| Effectiveness of Ensemble Classifier Over State-Of-Art Machine Learning Classifiers for Predicting Software Faults in Software Modules M Gupta, K Rajnish, V Bhattacharya Machine Learning, Image Processing, Network Security and Data Sciences …, 2023 | 7 | 2023 |
| Multilevel authentication scheme for security critical networks AG Dinker, V Sharma, Mansi, N Singh Journal of Information and Optimization Sciences 39 (1), 357-367, 2018 | 7 | 2018 |
| Software fault prediction with imbalanced datasets using SMOTE-Tomek sampling technique and Genetic Algorithm models M Gupta, K Rajnish, V Bhattacharjee Multimedia Tools and Applications 83 (16), 47627-47648, 2024 | 6 | 2024 |
| Predicting Software Cost Through Entity–Relationship Diagrams: An Empirical View M Gupta, K Rajnish, V Bhattarcharjee Nanoelectronics, Circuits and Communication Systems: Proceeding of NCCS 2019 …, 2021 | 4 | 2021 |
| A novel convolutional neural network model to predict software defects K Rajnish, V Bhattacharjee, M Gupta Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools and …, 2022 | 3 | 2022 |
| Genetic Algorithm-Based Optimization of Clustering Algorithms for the Healthy Aging Dataset SKVB Kahkashan Kouser, Amrita Priyam, Mansi Gupta Appl. Sci. 2024 14 (13), 2024 | 1 | 2024 |
Kumar RajnishBIT Mesra確認したメール アドレス: bitmesra.ac.in