Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

Deep learning techniques have drawn considerable interest in emotion recognition due to
recent technological developments in healthcare analytics. Automatic patient emotion …

Lung disease encompasses various disorders that result in impaired lung function and
breathing difficulties. We propose a two-stage pipeline for automated lung disease detection …

The influence of some seemingly anomalous samples on modeling is often ignored in the
quantitative prediction of soil composition modeling with hyperspectral data. Soil spectral …

The study considers the need for an effective method of classification of patients with a
temporomandibular joint disorder (TMD). The self-organising map method (SOM) was …

Reservoir computing is a highly efficient machine learning framework for processing
temporal data by extracting input features and mapping them into higher dimensional …

The ballistocardiogram (BCG) is a cardiac mechanical signal whose waveform morphology
varies between subjects, depending on the mechanical interface and body position …

Automatic seizure prediction is crucial for developing a new therapy for patients suffering
from medically intractable epilepsy, possessing important clinical application value. In order …

Drowsiness detection is a test designed to detect a person's reaction ability and speed while
in a state of fatigue. This type of drowsiness detection has many practical applications in …

Background Recurrent and unpredictable seizures characterize epilepsy, a neurological
disorder affecting millions worldwide. Epilepsy diagnosis is crucial for timely treatment and …