Anil Kumar Tripathi

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Coauteurs

Deo Prakash VidyarthiJawaharlal Nehru University, New Delhi IndiaAdresse e-mail validée de mail.jnu.ac.in
Sushant Kumar PandeyAssistant Professor at Computer Science and Artificial Intelligence, FSE, University of GroningenAdresse e-mail validée de iitbhu.ac.in
Ashish Kumar MauryaMotilal Nehru National Institute of Technology Allahabad, Prayagraj, IndiaAdresse e-mail validée de mnnit.ac.in
Vinay KumarIIIT Naya RaipurAdresse e-mail validée de iiitnr.edu.in
Gaurav BaranwalAssistant Professor, Department of Computer Science, Banaras Hindu Uinversity, Varanasi, IndiaAdresse e-mail validée de bhu.ac.in
Manjari GuptaAssociate Professor, Banaras Hindu UniversityAdresse e-mail validée de bhu.ac.in
Abhishek MishraBirla Institute of Technology and Science, PilaniAdresse e-mail validée de pilani.bits-pilani.ac.in
MANISHA SINGHResearch Scholar, Indian Institute of Technology (BHU)Adresse e-mail validée de iitbhu.ac.in
AMIT BISWASAssistant Professor, MNNIT Allahabad, PrayagrajAdresse e-mail validée de mnnit.ac.in
Kamal Sheel Mishraprofessor of computer scienceAdresse e-mail validée de smsvaranasi.com
Dipty TripathiIndira Gandhi Delhi Technical University for Women, DelhiAdresse e-mail validée de itbhu.ac.in
Dr. Amrita ChaturvediDepartment of Computer Science and Engineering, Indian Institute of Technology BHU, Varanasi, UPAdresse e-mail validée de iitbhu.ac.in
Ravi Shankar SinghIIT(BHU), VARANASIAdresse e-mail validée de iitbhu.ac.in
Ratneshwer GuptaProfessor at School of Computer and Systems Sciences, Jawaharlal Nehru University, New DelhiAdresse e-mail validée de mail.jnu.ac.in

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Anil Kumar Tripathi

Professor, Dept. of Computer Science & Engg, Indian Institute of Technology (BHU), Varanasi, INDIA

Adresse e-mail validée de iitbhu.ac.in - Page d'accueil

Parallel & Distributed Computing Software Engineering


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Machine learning based methods for software fault prediction: A survey SK Pandey, RB Mishra, AK Tripathi Expert Systems with Applications 172, 114595, 2021	141	2021
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
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	129	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	61	2018
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	59	2004
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
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	45	2020
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	36	2017
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	35	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	35	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	35	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
A new approach for detecting design patterns by graph decomposition and graph isomorphism A Pande, M Gupta, AK Tripathi Contemporary Computing: Third International Conference, IC3 2010, Noida …, 2010	33	2010
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	32	2020
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

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