IEEE

A Comparative Study of Classical Spectral and Spatial Feature Extraction Methods for Fatigue Detection via EEG Signals

Abstract: Driving fatigue detection using electroencephalography (EEG) is an emerging application of smart systems with marked implication in transportation safety, healthcare and human-machine ...
IEEE

Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection

Abstract: This research presents a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model developed for malware classification from IoT devices in the SCADA system and for ...