Eye tracking is a useful technique for detecting autism spectrum disorder (ASD). One of the
most important aspects of good learning is the ability to have atypical visual attention. The …

Nowadays, the implementation of Artificial Intelligence (AI) in medical diagnosis has
attracted major attention within both the academic literature and industrial sector. AI would …

Deep learning models developed through multi-lead electrocardiogram (ECG) signals are
considered the leading methods for the automated detection of arrhythmia on computer …

Introduction With the widespread availability of portable electrocardiogram (ECG) devices,
there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia …

There is an urgent need to develop new data-driven methods for assessing wildfire-related
risks in large areas susceptible to such risks. To assess these risks, one of the critical …

Current research on the detection of surface defects in hot-rolled strip steel is mainly focused
on defects in the hot-rolling stage, and there is less research on surface defects in hot-rolled …

Construction safety issues are of great significance in civil engineering management. In this
paper, the entry point is the recognition of workers wearing helmets during the construction …

Arrhythmia classification on Electrocardiogram (ECG) signals is an important process for the
diagnosis of cardiac disease and arrhythmia disease. The existing researches in arrhythmia …

Sleep apnea is a sleep disorder caused by weakened or suspended breathing during sleep,
which seriously affects the work and health of patients. The traditional polysomnography …

The prevalence of Cardiovascular Diseases (CVD) currently poses a significant global
burden to the healthcare systems. Arrhythmia is a condition associated with CVD that can …