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ORCIDGopika Vinod
Person information
- affiliation: Bhabha Atomic Research Centre (BARC), Mumbai, India
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2020 – today
- 2024
[j32]Vipul Garg
, Gopika Vinod, Vivek Kant:
Retrospective and predictive analysis of human operator performance with event report data of a nuclear reactor. Int. J. Syst. Assur. Eng. Manag. 15(7): 3039-3059 (2024)- 2023
- [j31]Vipul Garg, Gopika Vinod, Mahendra Prasad, T. V. Santhosh, N. B. Shrestha, J. Chattopadhyay:
Hybrid DFM - Petri net approach for dynamic reliability analysis of smart transmitters. Qual. Reliab. Eng. Int. 39(6): 2438-2453 (2023) - [j30]Vipul Garg, Gopika Vinod, Mahendra Prasad, J. Chattopadhyay, Curtis L. Smith, Vivek Kant:
Human reliability analysis studies from simulator experiments using Bayesian inference. Reliab. Eng. Syst. Saf. 229: 108846 (2023) - [j29]Vipul Garg, Gopika Vinod, Vivek Kant:
Auto-CREAM: Software application for evaluation of HEP with basic and extended CREAM for PSA studies. Reliab. Eng. Syst. Saf. 236: 109318 (2023) - 2022
- [j28]Kavita P. Dixit, Gopika Vinod, Vipul Garg:
Failure analysis of electron gun of a 10 MeV RF linac. Int. J. Syst. Assur. Eng. Manag. 13(5): 2338-2355 (2022) - [c4]Akshay Vilas Upasany, Anurendra Singh, Gurkirat Wadhwa, Jayendran Venkateswaran, Gopika Vinod:
Simulation for Modeling and Analysis of Burn Center. IEEM 2022: 681-685 - 2020
- [j27]Yashasvi Chauhan, N. B. Shrestha, T. V. Santhosh, Vivek Shrivastava, P. K. Ramteke, Gopika Vinod:
Performance of smart pressure transmitters under radiation ageing environment in NPPs. Int. J. Syst. Assur. Eng. Manag. 11(2s): 282-288 (2020)
2010 – 2019
- 2019
- [j26]Silvia Tolo, Xiange Tian, Nils Bausch, Victor M. Becerra, T. V. Santhosh, Gopika Vinod, Edoardo Patelli:
Robust on-line diagnosis tool for the early accident detection in nuclear power plants. Reliab. Eng. Syst. Saf. 186: 110-119 (2019) - 2018
- [j25]David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh, Hissam Tawfik:
A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants. Neurocomputing 322: 102-119 (2018) - [j24]T. V. Santhosh, V. Gopika, A. K. Ghosh, Baylon G. Fernandes:
An approach for reliability prediction of instrumentation & control cables by artificial neural networks and Weibull theory for probabilistic safety assessment of NPPs. Reliab. Eng. Syst. Saf. 170: 31-44 (2018) - [c3]David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh:
A Constraint-Based Random Search Algorithm for Optimizing Neural Network Architectures and Ensemble Construction in Detecting Loss of Coolant Accidents in Nuclear Power Plants. DeSE 2018: 237-243 - [p1]David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh, Hissam Tawfik:
A Neural Networks Design Methodology for Detecting Loss of Coolant Accidents in Nuclear Power Plants. Applications of Big Data Analytics 2018: 43-61 - 2017
- [j23]Amit Chandrakar, Debabrata Datta, Arun Kumar Nayak, Gopika Vinod:
Statistical analysis of a time series relevant to passive systems of nuclear power plants. Int. J. Syst. Assur. Eng. Manag. 8(1): 89-108 (2017) - [j22]Y. Munindra Reddy, Rajendraprasad Narne, T. V. Santhosh, V. Gopika, N. B. Shreshta:
Reliability prediction of smart pressure transmitter for use in NPPs. Int. J. Syst. Assur. Eng. Manag. 8(2s): 656-662 (2017) - [j21]Yernagu Satheesh Kumar Reddy, K. V. R. B. Prasad, Gopika Vinod, N. B. Shrestha:
Functional testing and performance assessment of smart pressure transmitters used in NPPs. Int. J. Syst. Assur. Eng. Manag. 8(2s): 765-772 (2017) - [c2]Silvia Tolo, T. V. Santhosh, Gopika Vinod, Uchenna Oparaji, Edoardo Patelli:
Uncertainty quantification methods for neural networks pattern recognition. SSCI 2017: 1-8 - 2016
- [j20]Lalit Kumar Singh, Gopika Vinod, Anil Kumar Tripathi:
Early Prediction of Software Reliability: A Case Study with a Nuclear Power Plant System. Computer 49(1): 52-58 (2016) - [j19]Lalit Kumar Singh, Hitesh Rajput, Gopika Vinod, Anil Kumar Tripathi:
Computing Transition Probability in Markov Chain for Early Prediction of Software Reliability. Qual. Reliab. Eng. Int. 32(3): 1253-1263 (2016) - [j18]Anitha Senathi, Gopika Vinod, T. V. Santosh, Dipti Jadhav:
Fuzzy based ranking of software reliability measures. Int. J. Syst. Assur. Eng. Manag. 7(2): 121-128 (2016) - [j17]S. V. Sreekanth Reddy, K. Rajangam, T. V. Santhosh, Gopika Vinod, Shiju Varghese, Jay Shah:
Reliability prediction of seismic switch for early detection of earthquakes around NPPs. Int. J. Syst. Assur. Eng. Manag. 7(3): 325-331 (2016) - 2015
- [j16]Lalit Kumar Singh, Gopika Vinod, Anil Kumar Tripathi:
Approach for parameter estimation in Markov model of software reliability for early prediction: a case study. IET Softw. 9(3): 65-75 (2015) - [j15]Amit Chandrakar, Arun Kumar Nayak, Gopika Vinod:
Reliability analysis of process controlled systems considering dynamic failure of components. Int. J. Syst. Assur. Eng. Manag. 6(2): 93-102 (2015) - [j14]M. Hari Prasad, Gopika Vinod, V. V. S. Sanyasi Rao:
Risk management of NPPs using risk monitors. Int. J. Syst. Assur. Eng. Manag. 6(2): 191-197 (2015) - 2014
- [j13]Lalit Kumar Singh, Gopika Vinod, Anil Kumar Tripathi:
Impact of change in component reliabilities on system reliability estimation. ACM SIGSOFT Softw. Eng. Notes 39(3): 1-6 (2014) - 2013
- [j12]Adithya Thaduri, Ajit Kumar Verma, V. Gopika, Rajesh Gopinath, Uday Kumar:
Reliability prediction of semiconductor devices using modified physics of failure approach. Int. J. Syst. Assur. Eng. Manag. 4(1): 33-47 (2013) - [j11]Lalit Kumar Singh, Gopika Vinod, Anil Kumar Tripathi:
Reliability prediction through system modeling. ACM SIGSOFT Softw. Eng. Notes 38(6): 1-10 (2013) - 2012
- [c1]Lalit Kumar Singh, Gopika Vinod, Anil Kumar Tripathi:
Modeling and Prediction of Performability of Safety Critical Computer Based Systems Using Petri Nets. ISSRE Workshops 2012: 85-94 - 2011
- [j10]Lalit Kumar Singh, Anil Kumar Tripathi, Gopika Vinod:
Software Reliability Early Prediction in Architectural Design Phase: Overview and Limitations. J. Softw. Eng. Appl. 4(3): 181-186 (2011) - [j9]Sirsendu Mohanta, Gopika Vinod, Rajib Mall:
A technique for early prediction of software reliability based on design metrics. Int. J. Syst. Assur. Eng. Manag. 2(4): 261-281 (2011) - 2010
- [j8]Sirsendu Mohanta, Gopika Vinod, A. K. Ghosh, Rajib Mall:
An approach for early prediction of software reliability. ACM SIGSOFT Softw. Eng. Notes 35(6): 1-9 (2010)
2000 – 2009
- 2009
- [j7]K. Durga Rao, V. Gopika, V. V. S. Sanyasi Rao, H. S. Kushwaha, Ajit Kumar Verma, Ajit Srividya:
Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment. Reliab. Eng. Syst. Saf. 94(4): 872-883 (2009) - 2007
- [j6]K. Durga Rao, V. Gopika, H. S. Kushwaha, Ajit Kumar Verma, Ajit Srividya:
Test interval optimization of safety systems of nuclear power plant using fuzzy-genetic approach. Reliab. Eng. Syst. Saf. 92(7): 895-901 (2007) - [j5]T. V. Santosh, Gopika Vinod, R. K. Saraf, A. K. Ghosh, H. S. Kushwaha:
Application of artificial neural networks to nuclear power plant transient diagnosis. Reliab. Eng. Syst. Saf. 92(10): 1468-1472 (2007) - 2006
- [j4]A. Santosh, Gopika Vinod, O. P. Shrivastava, R. K. Saraf, A. K. Ghosh, H. S. Kushwaha:
Reliability analysis of pipelines carrying H2S for risk based inspection of heavy water plants. Reliab. Eng. Syst. Saf. 91(2): 163-170 (2006) - 2004
- [j3]Gopika Vinod, H. S. Kushwaha, Ajit Kumar Verma, Ajit Srividya:
Optimisation of ISI interval using genetic algorithms for risk informed in-service inspection. Reliab. Eng. Syst. Saf. 86(3): 307-316 (2004) - 2003
- [j2]Gopika Vinod, H. S. Kushwaha, Ajit Kumar Verma, Ajit Srividya:
Importance measures in ranking piping components for risk informed in-service inspection. Reliab. Eng. Syst. Saf. 80(2): 107-113 (2003) - [j1]Gopika Vinod, S. K. Bidhar, H. S. Kushwaha, Ajit Kumar Verma, Ajit Srividya:
A comprehensive framework for evaluation of piping reliability due to erosion-corrosion for risk-informed inservice inspection. Reliab. Eng. Syst. Saf. 82(2): 187-193 (2003)
Coauthor Index
aka: T. V. Santhosh
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