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 ...
IEEE

Predictive Models for Voltage Degradation in PEM Fuel Cells Using Gradient Boosting and LSTM Networks

Abstract: The reliability and operational effectiveness of Pro-ton Exchange Membrane Fuel Cells (PEMFCs) are significantly affected by voltage degradation. To predict voltage degradation in PEMFCs, ...