Abstract Background Artificial Intelligence (AI) is expected to transform the work context
deeply. Currently, multiple AI systems are being studied and applied in the mental …

Epilepsy is a common non-communicable, group of neurological disorders affecting more
than 50 million individuals worldwide. Researchers are working to automatically detect …

The study of EEG signals is of great significance for the diagnosis and prevention of brain
disease. Most of the previous studies are based on the binary classification of nonictal and …

Epilepsy is one of the most common neurological disorder diseases all over the world, which
gives patients a huge burden in seizure-related disabilities. For epileptic seizure detection …

Cyborgs are human beings who are supported with technological components to enhance
their physical or sensory abilities. The primary aim of cyborg intelligence is to combine …

Biomedical signals are frequently contaminated by colored noise; consequently, noise
recognition and reduction are critical to biomedical systems. Conventional techniques have …

Electroencephalogram (EEG) signals convey information about the electrical activity of
neurons and are commonly used in clinical practice to evaluate the epileptic activity of …

The novel fault diagnosis method of gearbox based on Fourier Bessel series expansion-
based empirical wavelet transform (FBEWT) and manifold regularization extreme learning …

Total dissolved gas (TDG) concentration plays an important role in the control of the aquatic
life. Elevated TDG can cause gas-bubble trauma in fish (GBT). Therefore, controlling TDG …

Epilepsy is a chronic neurological disorder that may be diagnosed and monitored using
routine diagnostic tests like Electroencephalography (EEG). However, manual introspection …