Human activity recognition (HAR) is a very active yet challenging and demanding area of
computer science. Due to the articulated nature of human motion, it is not trivial to detect …

Speech is a powerful medium of communication that always convey rich and useful
information, such as gender, accent, and other unique characteristics of a speaker. These …

The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

Face recognition (FR) systems have a growing effect on critical decision-making processes.
Recent works have shown that FR solutions show strong performance differences based on …

Diagnosis of Parkinson's disease at its early stage is important in proper treatment of the
patients so they can lead productive lives for as long as possible. Although many techniques …

Speech emotion recognition could be considered a new topic in speech processing where
he plays that plays an essential role in human interaction. Emotions are a king of speech …

This study relies on using a Moth–Flame Optimization (MFO) method as a search algorithm
and a Decision Tree (DT) as an evaluation algorithm to generate an efficient feature subset …

Current mobile user authentication systems based on PIN codes, fingerprint, and face
recognition have several shortcomings. Such limitations have been addressed in the …

Media forensics has attracted a tremendous attention in the last years in part due to the
increasing concerns around DeepFakes. Since the release of the initial DeepFakes …

The presence of decision-making algorithms in society is rapidly increasing nowadays,
while concerns about their transparency and the possibility of these algorithms becoming …