Deep reinforcement learning-based intrusion detection scheme for software-defined networking
The proposed methodology for the IDS uses Deep Reinforcement Learning to increase the accuracy of intrusion detection as well as...
Detection
Federated multi scale vision transformer with adaptive client aggregation for industrial defect detection
The proposed Federated Multi-Scale Vision Transformer with Adaptive Client Aggregation (Fed-MSVT) is a novel federated learning-based defect detection framework for...
Machine Learning Enables 96% Accurate Single-Pixel Detection Of Structured Light With Speckle-Learned Recognition
Structured light, with its unique spatial properties, holds immense promise for advancements in communications, precision measurement, and sensing technologies. Purnesh...
Change-point detection with deep learning: A review
Newswise — With the rapid growth of data complexity and volume, traditional statistical methods for change-point detection (CPD) face limitations...
Hybrid Intrusion Detection System Optimizes Resource-Constrained Networks With Genetic Algorithms And Self-Supervised Learning
The proliferation of interconnected devices in the Internet of Things and wireless sensor networks creates ever-expanding opportunities for cyberattacks, yet...
Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis
This section discusses comprehensively the performance assessment of various feature representation techniques (CNN, DWT, FFT, Gabor, GLRLM, and LBP) in...
