Pedestrian detection (PD) is a vital computer vision (CV) problem that is highly employed in
several real-time applications, namely autonomous driving methods, robotics, and security …

Lung cancer has emerged as a major cause of death among all demographics worldwide,
largely caused by a proliferation of smoking habits. However, early detection and diagnosis …

Due to the proliferation of COVID‐19, the world is in a terrible condition and human life is at
risk. The SARS‐CoV‐2 virus had a significant impact on public health, social issues, and …

Deep phenoty** is defined as learning about genotype‐phenotype associations and the
history of human illness by analyzing phenotypic anomalies. It is significant to investigate the …

Radio frequency identification (RFID) technology has already demonstrated its use. RFID is
used in many productions for different applications, for example, apparatus chasing …

The rapid adoption of drones has transformed industries such as agriculture, environmental
monitoring, surveillance, and disaster management by enabling more efficient data …

Anomaly detection in pedestrian walkways is a vital research area that uses remote sensing,
which helps to optimize pedestrian traffic and enhance flow to improve pedestrian safety in …

A color fundus image is a photograph obtained using a fundus camera of the inner wall of
the eyeball. In the image, doctors may see changes in the retinal vessels, which can be used …

Recent advances in airborne and space-based remote sensing technologies and a rapid
increase in the use of machine learning (ML) techniques in digital image processing …

Cardiac disease diagnosis and identification is problematic mostly by inaccurate
segmentation of the cardiac left ventricle (LV). Besides, LV segmentation is challenging …