Chronic kidney disease (CKD) is a condition characterized by progressive loss of kidney
function over time. It describes a clinical entity that causes kidney damage and affects the …

Electroencephalogram (EEG) is one of most effective clinical diagnosis modalities for the
localization of epileptic focus. Most current AI solutions use this modality to analyze the EEG …

Advances in signal processing and machine learning have expedited
electroencephalogram (EEG)-based emotion recognition research, and numerous EEG …

The study proposes a novel model for DNA sequence classification that combines machine
learning methods and a pattern-matching algorithm. This model aims to effectively …

In recent years, due to the rapid growth in network technology, numerous types of intrusions
have been uncovered that differ from the existing ones, and the conventional firewalls with …

Artificial intelligence, deep learning, and machine learning are dominant sources to use in
order to make a system smarter. Nowadays, the smart speech emotion recognition (SER) …

Idukki district, situated in the Western Ghats of Peninsular India, is one of the high landslide
susceptible zones with frequent landslide occurrences during monsoon. Though plentiful …

Monitoring systems for the early detection of diabetes are essential to avoid potential
expensive medical costs. Currently, only invasive monitoring methods are commercially …

Changes in the frequency composition of the human electroencephalogram are associated
with the transitions to epileptic seizures. Cross-frequency coupling (CFC) is a measure of …

With the development of urbanization, the problem of neurological diseases brought about
by population aging has gradually become a social problem of worldwide concern. Aging …