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Periasamy Vivekanandan
Periasamy Vivekanandan
Sonstige NamenP. Vivekanandan
Professor Department of CSE ( AI and ML) Dr.Mahalingam College of Engineering and Technology
Bestätigte E-Mail-Adresse bei drmcet.ac.in
Titel
Zitiert von
Zitiert von
Jahr
Multi-feature based automatic face identification on kernel eigen spaces (KES) under unstable lighting conditions
CV Arulkumar, P Vivekanandan
2015 International Conference on Advanced Computing and Communication …, 2015
1662015
An efficient SVM based tumor classification with symmetry non-negative matrix factorization using gene expression data
N Yuvaraj, P Vivekanandan
2013 International conference on information communication and embedded …, 2013
622013
An intelligent technique for uniquely recognising face and finger image using learning vector quantisation (LVQ)-based template key generation
V Arulkumar, P Vivekanandan
International Journal of Biomedical Engineering and Technology 26 (3-4), 237-249, 2018
572018
Dynamic scheduling of data using genetic algorithm in cloud computing
A Kaleeswaran, V Ramasamy, P Vivekanandan
International Journal of Advances in Engineering & Technology 5 (2), 327, 2013
372013
Mining data streams with concept drifts using genetic algorithm
P Vivekanandan, R Nedunchezhian
Artificial Intelligence Review 36, 163-178, 2011
372011
Efficient fault-tolerant routing in IoT wireless sensor networks based on path graph flow modeling with Marchenko–Pastur distribution (EFT-PMD)
S Sivakumar, P Vivekanandan
Wireless networks 26 (6), 4543-4555, 2020
362020
2015 International Conference on Advanced Computing and Communication Systems
V Arulkumar, P Vivekanandan
IEEE,, 2015
262015
Load balancing algorithms in cloud computing environment-a methodical comparison
J Uma, V Ramasamy, A Kaleeswaran
International Journal of Advanced Research in Computer Engineering …, 2014
262014
An intelligent genetic algorithm for mining classification rules in large datasets
P Vivekanandan, M Rajalakshmi, R Nedunchezhian
Computing and Informatics 32 (1), 1-22, 2013
262013
Gene selection using parallel lion optimization method in microarray data for cancer classification
A Sampathkumar, P Vivekanandan
Journal of Medical Imaging and Health Informatics 9 (6), 1294-1300, 2019
222019
A novel usage of artificial intelligence and internet of things in remote‐based healthcare applications
V Arulkumar, DM Hussain, S Sridhar, P Vivekanandan
Advanced Healthcare Systems: Empowering Physicians with IoT‐Enabled …, 2022
212022
RETRACTED ARTICLE: Energy efficient scheduling for cloud data centers using heuristic based migration
G Ganesh Kumar, P Vivekanandan
Cluster Computing 22 (Suppl 6), 14073-14080, 2019
202019
Optimized intellectual resource scheduling using deep reinforcement Q‐learning in cloud computing
J Uma, P Vivekanandan, S Shankar
Transactions on Emerging Telecommunications Technologies 33 (5), e4463, 2022
192022
Efficient data integrity and data replication in cloud using stochastic diffusion method
M Ramanan, P Vivekanandan
Cluster Computing 22, 14999-15006, 2019
192019
A NEW INCREMENTAL GENETIC ALGORITHM BASED CLASSIFICATION MODEL TO MINE DATA WITH CONCEPT DRIFT.
P Vivekanandan, R Nedunchezhian
Journal of Theoretical & Applied Information Technology 21 (1), 2010
172010
Gene selection using multiple queen colonies in large scale machine learning
A Sampathkumar, P Vivekanandan
Int J Electr Eng 9 (6), 97-111, 2018
112018
A survey on energy efficient routing protocols for MANET
N Yuvaraj, AS Nandhini, P Vivekanandan
International Journal of Advances in Engineering & Technology 6 (1), 370, 2013
112013
Minig rules of concept drift using genetic algorithm
P Vivekanandan, R Nedunchezhian
Journal of Artificial Intelligence and Soft Computing Research 1, 2011
112011
A fast genetic algorithm for mining classification rules in large datasets
P Vivekanandan
Convergence Chronicles 1 (1), 28-40, 2020
92020
A novel security and energy efficient data aggregation for medical Internet of Things using trust
AS Nandhini, P Vivekanandan
Journal of Medical Imaging and Health Informatics 10 (1), 249-255, 2020
62020
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