New Feature Selection Method Trims Intrusion Detection Models for Industrial Edge Devices
A cluster-preserving feature selection framework cut intrusion detection features from 78 to 27 on the CICIDS2017 benchmark while Random Forest ...
A cluster-preserving feature selection framework cut intrusion detection features from 78 to 27 on the CICIDS2017 benchmark while Random Forest ...
A systematic review of 74 studies reveals that AI-driven maintenance for mining processing machinery remains narrow, vibration-obsessed, and disconnected from ...
Researchers in Shanghai have developed a deep reinforcement learning framework that coordinates edge caching across multiple nodes in smart industrial ...
A new study shows that adaptively fusing a closed-world classifier with an unsupervised open-set detector significantly improves detection of zero-day ...
Researchers in Beijing have built a 0.27-megabyte transformer model that detects multi-stage APT attacks in industrial IoT telemetry with high ...
A new framework combines explainable graph neural networks with bio-inspired repair algorithms to detect, diagnose, and autonomously heal faults in ...
Researchers have proposed a six-layer, event-driven digital twin framework that links live factory data, predictive simulation, and human-approved ESG-oriented decisions ...
A new review details how triboelectric nanogenerators convert wasted mechanical motion into electricity to power smart industrial sensors.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine