Federated learning of explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networks
Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learning
Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learning: Can smartphones reveal when we are tired?
Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson’s disease
LSTM-CNN: An efficient diagnostic network for Parkinson’s disease utilizing dynamic handwriting analysis
Improving IoT security with explainable AI: quantitative evaluation of explainability for IoT botnet detection
An Efficient Neural Network for the Diagnosis of Parkinson’s Disease Using Dynamic Handwriting Analysis
Wave density spectra estimation with LSTM from Sentinel-1 SAR in the Baltic Sea
Enhancing IoT Botnet attack detection in SOCs with an explainable active learning framework
Adaptation of transformer model for numeric case
Explainable transformer-based intrusion detection in Internet of Medical Things (IoMT) networks
Enhancing cerebral palsy gait analysis with 3D computer vision: a dual-camera approach
Explainable federated learning for botnet detection in IoT networks
Machine learning-based analysis of human motions for Parkinson’s disease diagnostics