Background Alzheimer's disease (AD) is a progressive neurodegenerative disorder of the
brain that ultimately results in the death of neurons and dementia. The prevalence of the …

Background: Epileptic seizure detection is traditionally performed by visual observation of
Electroencephalogram (EEG) signals. Owing to its onerous and time-consuming nature …

Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from
Electroencephalogram (EEG) data demonstrate promising results. The primary aim of this …

The goal of aggregating the base classifiers is to achieve an aggregated classifier that has a
higher resolution than individual classifiers. Random forest is one of the types of ensemble …

Epilepsy, a fatal neurological disorder, has been emerged as a worldwide problem and is
one of the major risks to human lives. There exists an urgent need for an efficient technique …

Telehealth and remote patient monitoring have expanded the reach of traditional clinical
practice by removing geographical barriers as well as clinical limitations. Will this lead to …

Reservoir permeability is a crucial parameter for reservoir characterization and the
estimation of current and future production from hydrocarbon reservoirs. Permeability can be …

Electroencephalography (EEG) is a common tool used for the detection of epileptic seizures.
However, the visual analysis of long-term EEG recordings is characterized by its subjectivity …

Prestressed concrete beams are widely used in bridge engineering due to their long span,
lightweight, and good integrity. However, the grouting quality in the bellows of the beams will …

Migraine is a neurological disease defined by recurrent attacks of headache accompanied
by nausea and vomiting, which causes autonomic nervous system disturbance, episodes of …