An Intrusion Detection Approach for Industrial Internet of Things Traffic Using Deep Recurrent Reinforcement Learning and Federated Learning

Information Science, Electronic Information, Computer Science, Artificial Intelligence,
Industrial IoT   Intrusion Detection   Federated Learning   Deep Reinforcement Learning   Temporal Dependencies   Data Privacy   Node Selection  

Intrusion Detection Approach for Industrial Internet of Things Traffic Using Deep Recurrent Reinforcement Learning and Federated Learning Academic Background The rapid development of the Industrial Internet of Things (IIoT) has profoundly transformed intelligent industrial systems, enabling data exchange, remote control, and smart decision-making b...

An Attention-Based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology,
Attention   Deep Learning   Sleep Stage   Single-Channel EEG   Feature Extraction   Automatic Classification   Temporal Dependencies  

The IEEE “Transactions on Neural Systems and Rehabilitation Engineering” published a paper titled “Sleep Stage Classification Using Attention-Based Deep Learning for Single-Channel EEG” in Volume 29, 2021. The author of the article include Emadeldeen Edele, Zhenghua Chen, Chengyu Liu, Min Wu, Chee-Keong Kwoh, Xiaoli Li, and Cuntai Guan. The main go...