With an increase in both global warming and the human population, forest fires have
become a major global concern. This can lead to climatic shifts and the greenhouse effect …

Current artificial intelligence systems for determining a person's emotions rely heavily on lip
and mouth movement and other facial features such as eyebrows, eyes, and the forehead …

Authorities and policymakers in Korea have recently prioritized improving fire prevention
and emergency response. Governments seek to enhance community safety for residents by …

Classification of fruit and vegetable freshness plays an essential role in the food industry.
Freshness is a fundamental measure of fruit and vegetable quality that directly affects the …

Early fire detection and notification techniques provide fire prevention and safety information
to blind and visually impaired (BVI) people within a short period of time in emergency …

Most facial recognition and face analysis systems start with facial detection. Early
techniques, such as Haar cascades and histograms of directed gradients, mainly rely on …

Wildfire is one of the most significant dangers and the most serious natural catastrophe,
endangering forest resources, animal life, and the human economy. Recent years have …

This extensive review examines sarcopenia, a condition characterized by a loss of muscle
mass, stamina, and physical performance, with a particular emphasis on its detection and …

Among researchers using traditional and new machine learning and deep learning
techniques, 2D medical image segmentation models are popular. Additionally, 3D …

This study explores the practical applications of artificial intelligence (AI) in medical imaging,
focusing on machine learning classifiers and deep learning models. The aim is to improve …