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Kayarvizhy N
Kayarvizhy N
Associate Professor, Department of Computer Science and Engineeing, BMS College of Engineering
Verified email at bmsce.ac.in - Homepage
Title
Cited by
Cited by
Year
ANN models optimized using swarm intelligence algorithms
N Kayarvizhy, S Kanmani, RV Uthariaraj
WSEAS Transactions on Computers 13 (45), 501-519, 2014
512014
Analysis of quality of object oriented systems using object oriented metrics
N Kayarvizhy, S Kanmani
2011 3rd International Conference on Electronics Computer Technology 5, 203-206, 2011
202011
Improving Fault prediction using ANN-PSO in object oriented systems
N Kayarvizhy, S Kanmani, R Uthariaraj
International Journal of Computer Applications 73 (3), 0975-8887, 2013
162013
An automated tool for computing object oriented metrics using xml
N Kayarvizhy, S Kanmani
Advances in Computing and Communications: First International Conference …, 2011
142011
An Exploratory Analysis of GSDMM and BERTopic on Short Text Topic Modelling
A Udupa, KN Adarsh, A Aravinda, NH Godihal, N Kayarvizhy
2022 Fourth International Conference on Cognitive Computing and Information …, 2022
82022
Systematic review of object oriented metric tools
N Kayarvizhy
International Journal of Computer Applications 135 (2), 8-13, 2016
82016
Enhancing the fault prediction accuracy of CK metrics using high precision cohesion metric
N Kayarvizhy, S Kanmani, VR Uthariaraj
International Journal of Computer Applications in Technology 54 (4), 290-296, 2016
82016
High precision cohesion metric
N Kayarvizhy, S Kanmani, RV Uthariaraj
WSEAS Transactions on Information Science and Applications 10 (3), 79-89, 2013
62013
An efficient missing data imputation model on numerical data
V Sowmya, N Kayarvizhy
2021 2nd Global Conference for Advancement in Technology (GCAT), 1-8, 2021
42021
Internet of things: A project based engineering course
N Kayarvizhy, K Panimozhi, R Harshitha
2017 5th IEEE International Conference on MOOCs, Innovation and Technology …, 2017
32017
Comparative analysis of CK metrics across object oriented languages
N Kayarvizhy, S Kanmani
Computer Networks and Information Technologies: Second International …, 2011
32011
A Progressive Sampling based Approach to Reduce Sampling Time
N Bangera, N Kayarvizhy
2019 4th International Conference on Recent Trends on Electronics …, 2019
22019
Analysis of information propagation in academic social networks
SS Kumar, KS Kumar, N Kayarvizhy
2016 International Conference on Recent Trends in Information Technology …, 2016
22016
Summarization and Prioritization of Amazon Reviews based on multi-level credibility attributes
N Aishwarya, LS Bhuvana, N Kayarvizhy
2021 International Conference on Recent Trends on Electronics, Information …, 2021
12021
Machine Learning Driven Feature Sensitive Progressive Sampling Model for BigData Analytics
N Bangera, N Kayarvizhy
International Journal of Advanced Computer Science and Applications 12 (11), 2021
12021
Information abstraction from IoT streaming greenhouse data
VR Srividhya, SA Niketh, N Kavarvizhv
2019 4th International Conference on Recent Trends on Electronics …, 2019
12019
Knowledge based Question and Answering system using user feedback
AU Bhatkal, A Verma, N Kayarvizhy
2018 3rd IEEE International Conference on Recent Trends in Electronics …, 2018
12018
Actor Critic-based Multi Objective Reinforcement Learning for Multi Access Edge Computing.
V Khot, M Vallisha, SS Pai, CS RK, N Kayarvizhy
International Journal of Advanced Computer Science & Applications 15 (2), 2024
2024
Predictive Wi-Fi Network Selection: Enhancing User Experience through a Machine Learning-based Approach
V Akash, SM Howale, AJ Gupta, N Kayarvizhy, RK Saranappa
2023 4th IEEE Global Conference for Advancement in Technology (GCAT), 1-6, 2023
2023
Deep Reinforcement Learning for Task Offloading in a Multi-Access Edge Computing Environment
M Vallisha, V Khot, SS Pai, VR Rao, N Kayarvizhy
2023 International Conference on Network, Multimedia and Information …, 2023
2023
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