| Maximizing reliability of distributed computing system with task allocation using simple genetic algorithm DP Vidyarthi, AK Tripathi Journal of Systems Architecture 47 (6), 549-554, 2001 | 137 | 2001 |
| Machine learning based methods for software fault prediction: A survey SK Pandey, RB Mishra, AK Tripathi Expert Systems with Applications 172, 114595, 2021 | 130 | 2021 |
| BPDET: An Effective Software Bug Prediction Model using Deep Representation and Ensemble Learning Techniques SK Pandey, RB Mishra, AK Tripathi Expert Systems with Applications 144, 113085, 2020 | 128 | 2020 |
| Scheduling in distributed computing systems: Analysis, design and models DP Vidyarthi, BK Sarker, AK Tripathi, LT Yang Springer Science & Business Media, 2008 | 99 | 2008 |
| On benchmarking task scheduling algorithms for heterogeneous computing systems AK Maurya, AK Tripathi The Journal of Supercomputing, 1-32, 2018 | 59 | 2018 |
| Design verification of instrumentation and control systems of nuclear power plants LK Singh, G Vinod, AK Tripathi IEEE Transactions on Nuclear Science 61 (2), 921-930, 2014 | 54 | 2014 |
| Cluster-based multiple task allocation in distributed computing system DP Vidyarthi, AK Tripathi, BK Sarker, A Dhawan 18th International Parallel and Distributed Processing Symposium, 2004 …, 2004 | 54 | 2004 |
| A genetic task allocation algorithm for distributed computing systems incorporating problem specific knowledge AK Tripathi, DP Vidyarthi, AN Mantri International Journal of High Speed Computing 8 (04), 363-370, 1996 | 52 | 1996 |
| A GA based multiple task allocation considering load A Kumar Tripathi, B Kumer Sarker, N Kumar, DP Vidyarthi International Journal of High Speed Computing 11 (04), 203-214, 2000 | 46 | 2000 |
| QoS‑Aware Selection of IoT‑Based Service M Singh, G Baranwal, AK Tripathi Arabian Journal for Science and Engineering, 2020 | 44 | 2020 |
| Energy efficient voltage scheduling for multi-core processors with software controlled dynamic voltage scaling A Mishra, AK Tripathi Applied Mathematical Modelling 38 (14), 3456-3466, 2014 | 36 | 2014 |
| An empirical study toward dealing with noise and class imbalance issues in software defect prediction SK Pandey, AK Tripathi Soft Computing 25 (21), 13465-13492, 2021 | 34 | 2021 |
| Parameter Estimation for Quantitative Dependability Analysis of Safety-Critical and Control Systems of NPP V Kumar, LK Singh, P Singh, KV Singh, AK Maurya, AK Tripathi IEEE Transactions on Nuclear Science 65 (5), 1080-1090, 2018 | 34 | 2018 |
| On scheduling transactions in a grid processing system considering load through Ant Colony Optimization DP Mahato, RS Singh, AK Tripathi, AK Maurya Applied Soft Computing 61, 875-891, 2017 | 33 | 2017 |
| Safety Analysis of Safety-Critical Systems Using State-Space Models V Kumar, LK Singh, AK Tripathi, P Singh IEEE Software 34 (4), 38-47, 2017 | 33 | 2017 |
| Reliability Analysis of safety-critical and control systems: A state-of-the-art review V Kumar, L Singh, AK Tripathi IET Software 12 (1), 2017 | 33 | 2017 |
| A new approach for detecting design patterns by graph decomposition and graph isomorphism A Pande, M Gupta, AK Tripathi International Conference on Contemporary Computing, 108-119, 2010 | 33 | 2010 |
| Benchmarking the clustering algorithms for multiprocessor environments using dynamic priority of modules PK Mishra, A Mishra, KS Mishra, AK Tripathi Applied Mathematical Modelling 36 (12), 6243-6263, 2012 | 32 | 2012 |
| Software reliability early prediction in architectural design phase: overview and limitations LK Singh, AK Tripathi, G Vinod Journal of Software Engineering and Applications 4 (3), 181, 2011 | 32 | 2011 |
| Software defect prediction using K-PCA and various kernel-based extreme learning machine: an empirical study SK Pandey, D Rathee, AK Tripathi IET Software 14 (7), 768-782, 2020 | 31 | 2020 |
Deo Prakash VidyarthiJawaharlal Nehru University, New Delhi IndiaVerified email at mail.jnu.ac.in
