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Anil Kumar Tripathi
Anil Kumar Tripathi
Professor, Dept. of Computer Science & Engg, Indian Institute of Technology (BHU), Varanasi, INDIA
Verified email at iitbhu.ac.in - Homepage
Title
Cited by
Cited by
Year
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
1352001
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
1092020
Machine learning based methods for software fault prediction: A survey
SK Pandey, RB Mishra, AK Tripathi
Expert Systems with Applications 172, 114595, 2021
982021
Scheduling in distributed computing systems: Analysis, design and models
DP Vidyarthi, BK Sarker, AK Tripathi, LT Yang
Springer Science & Business Media, 2008
982008
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
522004
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
512014
On benchmarking task scheduling algorithms for heterogeneous computing systems
AK Maurya, AK Tripathi
The Journal of Supercomputing, 1-32, 2018
502018
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
501996
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
462000
QoS‑Aware Selection of IoT‑Based Service
M Singh, G Baranwal, AK Tripathi
Arabian Journal for Science and Engineering, 2020
392020
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
352014
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
342017
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
342010
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
332018
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
332011
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
322017
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
312012
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
282017
Early prediction of software reliability: A case study with a nuclear power plant system
LK Singh, G Vinod, AK Tripathi
Computer 49 (1), 52-58, 2016
282016
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
272021
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