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

Author:

Nalini M.,Yamini B.,Fernandez F. Mary Harin,Uma Priyadarsini P.S.

Publisher

Elsevier BV

Reference50 articles.

1. Survey on anomaly detection using data mining techniques;Agrawal;Procedia Comput. Sci.,2015

2. Unsupervised Anomaly Detection for High Dimensional Data—an Exploratory Analysis;Ramchandran,2018

3. Stream data mining and anomaly detection;Esmaeili;International Journal of Computer Applications,2011

4. T. Hu, M. Khishe, M. Mohammadi, G.R. Parvizi, S.H.T. Karim, T.A. Rashid. Real–time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm.Biomedical Signal Processing and Control,68 (202) p.102764.

5. A fast and noise-resilient cluster-based anomaly detection;Bigdeli;Pattern Anal. Appl.,2017

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