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M. Nalini
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2020 – today
- 2024
- [j5]M. Nalini, B. Yamini, F. Mary Harin Fernandez, P. S. Uma Priyadarsini:
Enhancing anomaly detection Efficiency: Introducing grid searchbased multi-population particle Swarm optimization algorithm based optimized Regional based Convolutional neural network for robust and scalable solutions in High-Dimensional data. Biomed. Signal Process. Control. 96: 106651 (2024) - 2023
- [j4]F. Mary Harin Fernandez, T. Venkata Ramana, Mahammad Shabana, V. Kannagi, M. Nalini:
Personalized ontology and deep training tree-based optimal gated recurrent unit-recurrent neural network for prediction of students' behavior. Concurr. Comput. Pract. Exp. 35(1) (2023) - 2022
- [j3]J. Aswini, B. Yamini, Rajaram Jatothu, K. Sankara Nayaki, M. Nalini:
An efficient cloud-based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine. Concurr. Comput. Pract. Exp. 34(10) (2022) - [j2]J. Rene Beulah, M. Nalini, D. Shiny Irene, D. Shalini Punithavathani:
Enhancing Detection of R2L Attacks by Multistage Clustering Based Outlier Detection. Wirel. Pers. Commun. 124(3): 2637-2659 (2022) - [c2]H. Sudarsan Kumar Raju, M. Nalini, P. Senthil Murugan:
Performance Analysis of Multi-objective Data Placement Technique and Sine Optimization Algorithm to Measure Prediction in Large Volume of Data Storage. ICCR 2022: 1-5 - [c1]H. Sudarsan Kumar Raju, M. Nalini, P. Senthil Murugan:
Classification of Large Data Storage using Sine Optimization Algorithm and Comparison of Accuracy in terms of Distributed Community Discovery Algorithm. ICCR 2022: 1-4 - 2021
- [j1]Kannan Krishnan, B. Yamini, Wael Mohammad Alenazy, M. Nalini:
Energy-Efficient Cluster-Based Routing Protocol for WSN Based on Hybrid BSO-TLBO Optimization Model. Comput. J. 64(10): 1477-1493 (2021)
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last updated on 2024-10-07 22:23 CEST by the dblp team
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