In machine learning, two approaches outperform traditional algorithms: ensemble learning
and deep learning. The former refers to methods that integrate multiple base models in the …

In the present world, biometric systems are used to analyze and verify a person's distinctive
bodily or behavioral features for authentication or recognition. Till now, there are numerous …

Deep learning has a huge potential to transform echocardiography in clinical practice and
point of care ultrasound testing by providing real-time analysis of cardiac structure and …

Plastic asphalt mixtures (PAMs) have garnered attention recently, but their field application
has been limited due to a lack of understanding of asphalt mix behavior following …

A hyperspectral image (HSI) has also highly correlated and redundant data, in addition to
abundant spatial and spectral information. Only the spectral characteristics were usually …

Texture representation is a challenging problem due to the complex underlying physics of
texture as well as the variations caused by changes in viewpoint. Recent progress in texture …

Braille character recognition (BCR) is a basic step in building and designing any Braille
assistive technology. Each Braille character is represented by a 2× 3 matrix of raised dots …

Facial recognition technology has been used in many fields such as security, biometric
identification, robotics, video surveillance, health, and commerce due to its ease of …

COVID-19 is a rapidly spread infectious disease caused by a severe acute respiratory
syndrome that can lead to death in just a few days. Thus, early disease detection can …

Abstract Background and Objective Daily activities such as shopping and navigating indoors
are challenging problems for people with visual impairment. Researchers tried to find …