This study aims at classifying flat ground tricks, namely Ollie, Kickflip, Shove-it, Nollie and
Frontside 180, through the identification of significant input image transformation on different …

In the last decade, museums and exhibitions have benefited from the advances in Virtual
Reality technologies to create complementary virtual elements to the traditional visit. The …

Hearing deficiency is the world's most common sensation of impairment and impedes
human communication and learning. Early and precise hearing diagnosis using …

Features extracted from the wavelet transform coefficient matrix are widely used in the
design of machine learning models to classify event-related potential (ERP) and …

The continuous development of artificial intelligence has a profound impact on biomedical
research and other fields. Brain-inspired computing is an important intersection of …

Epilepsy is the most common neurological disease defined as a central nervous system
disorder that is characterized by recurrent seizures. While electroencephalography (EEG) is …

We hypothesize that the Gray-Level Co-occurrence Matrix (GLCM) and the Run-Length
Matrix (RLM) techniques can effectively quantify discrete changes in EEG signals, and that …

Wafer defect detection is a non-trivial issue in the semiconductor industry. Conventional
means of defect detection is often labor-intensive based that is prone to error owing to a …

Cyclic Alternating Pattern (CAP) is a sleep instability marker defined based on the amplitude
and frequency of the electroencephalogram signal. Because of the time and intensive …

Patients that are diagnosed with oral cancer has more than an 83% survival chance if it is
detected in its early stages. However, through conventional labour-intensive means, only …