Automated systems that implement Machine learning (ML) and Artificial Intelligence (AI)
algorithms present promising solutions to a variety of technological and non-technological …

Worldwide, the persistent trend of human and animal life losses, as well as damage to
properties due to wildlife–vehicle collisions (WVCs) remains a significant source of concerns …

This study delves into the pervasive issue of gender issues in artificial intelligence (AI),
specifically within automatic scoring systems for student-written responses. The primary …

Multilingualism presents both a challenge and an opportunity for Natural Language
Processing, with code-switching representing a particularly interesting problem for …

Abstract Machine learning (ML) models often endogenously shape the data available for
future updates. This is important because of their role in influencing human decisions, which …

Potential uses of automated Facial Expression Recognition (FER) cover a wide range of
applications such as customer behavior analysis, healthcare applications or providing …

Affective computing often relies on audiovisual data to identify affective states from non-
verbal signals, such as facial expressions and vocal cues. Since automatic affect recognition …

Malaria remains a primary public health challenge in Africa, and there is growing interest in
leveraging artificial intelligence (AI) to raise malaria interventions. This research examines …

Women continue to enter and remain in AI development at a rate far lower than men, and
this glaring gender gap has caused AI technologies to contain inherent bias in their design …

It has been proposed that we are entering the age of postmortalism, where digital immortality
is a credible option. The desire to overcome death has occupied humanity for centuries, and …