Objective The applications of artificial intelligence (AI) are increasing in restorative dentistry;
however, the AI performance is unclear for dental professionals. The purpose of this …

Autism Spectrum Disorder (ASD) is a well-known mental disorders that prevails in the ability
of a person's social communication. The significance of early diagnosing drew the attention …

Concepts have been adopted in concept-cognitive learning (CCL) and conceptual clustering
for concept classification and concept discovery. However, the standard CCL algorithms are …

The various variants of the classical least square regression (LSR) have been extensively
utilized in numerous applications. However, most previous linear regression methods only …

Smartphones enable to collect large data streams about phone calls that, once combined
with Computational Intelligence techniques, bring great potential for improving the …

Automatic recognition of bedridden patients' physical activity has important applications in
the clinical process. Such recognition tasks are usually accomplished on visual data …

Firms are increasingly using forms of AI to serve stakeholders across various business
functions, resulting in both positive and negative outcomes. Stakeholder theory explains …

Maternal mortality and childbirth complications are major delivery issues in most developing
countries, especially in rural areas. The proper identification of risks associated with the …

Feature selection is used for excluding redundant features and enhancing learning
performance. Abundant unlabeled data are existed in many applications which can be used …

A significant robustness gap exists between machine intelligence and human perception
despite recent advances in deep learning. Deep learning is not provably secure. A critical …