Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …

Objectives Detecting caries lesions is challenging for dentists, and deep learning models
may help practitioners to increase accuracy and reliability. We aimed to systematically …

Objective. The objective of this systematic review was to investigate the quality and outcome
of studies into artificial intelligence techniques, analysis, and effect in dentistry. Materials …

Abstract The Artificial Bee Colony (ABC) technique is a highly effective method of
optimization inspired by the behavior of bees. Notably, the importance of the ABC algorithm …

Dental caries is an extremely common problem in dentistry that affects a significant part of
the population. Approximal caries are especially difficult to identify because their position …

Objectives Novel artificial intelligence (AI) learning algorithms in dento-maxillofacial
radiology (DMFR) are continuously being developed and improved using advanced …

In recent years, numerous researchers examined and analyzed several different types of
uncertainty in shortest path (SP) problems. However, those SP problems in which the costs …

Abstract Machine-based classification usually involves some computer programs, known as
algorithms, developed using several mathematical formulations to accelerate the automated …

In the realm of dental tissue regeneration research, various constraints exist such as the
potential variance in cell quality, potency arising from differences in donor tissue and tissue …

This paper mainly studied the problem of energy conserving in wireless sensor networks for
target tracking in defensing combats. Firstly, the structures of wireless sensor nodes and …