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.
M. NaliniB. YaminiF. Mary Harin FernandezP. S. Uma PriyadarsiniPublished in: Biomed. Signal Process. Control. (2024)
Keyphrases
- anomaly detection
- high dimensional data
- particle swarm optimization algorithm
- convolutional neural network
- multi population
- particle swarm optimization
- intrusion detection
- dimensionality reduction
- data analysis
- high dimensional
- convergence speed
- low dimensional
- data sets
- nearest neighbor
- high dimensionality
- network traffic
- genetic algorithm
- data points
- intrusion detection system
- pso algorithm
- gene expression data
- pattern recognition
- input data
- face detection
- detect anomalies
- neural network
- feature extraction
- object recognition
- unsupervised learning
- genetic programming
- multi objective
- moving objects