Epilepsy is a neurological disorder of the brain that causes frequent occurrence of seizures.
Electroencephalography (EEG) is a tool that assists neurologists in detecting epileptic …

The intelligent recognition of epileptic electro-encephalogram (EEG) signals is a valuable
tool for the epileptic seizure detection. Recent deep learning models fail to fully consider …

Epileptic seizures can affect the patient's physical function and cause irreversible damage to
their brain. It is vital to detect epilepsy seizures in time and give patients antiepileptic …

In the field of intelligent transportation, transfer learning (TL) is often used to recognize EEG-
based drowsy driving for a new subject with few subject-specific calibration data. However …

Epilepsy is a neurological illness caused by abnormal discharge of brain neurons, where
epileptic seizure can lead to life-threatening emergencies. By analyzing the encephalogram …

Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals
and families. Recently, electroencephalography‐(EEG‐) based physiological and brain …

Epileptic EEG signal recognition is an important method for epilepsy detection. In essence,
epileptic EEG signal recognition is a typical imbalanced classification task. However …

With the fast development of effective and low-cost human skeleton capture systems,
skeleton-based action recognition has attracted much attention recently. Most existing …

Precise and timely disease diagnosis is essential for making effective treatment decisions
and halting disease progression. Biomedical signals offer the potential for non-invasive …

The intelligent recognition of electroencephalogram (EEG) signals is a valuable tool for
epileptic seizure classification. Given that visual inspection of EEG signals is time …