Object classification is a crucial yet challenging vision ability to perfect The fundamental
objective is to educate computers to understand visuals the same way humans do. Due to …

Automated and accurate diagnosis of Acute Lymphoblastic Leukemia (ALL), blood cancer, is
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …

Understanding human actions is crucial for enabling machines to interpret human behavior,
with applications spanning video-based surveillance applications, sports monitoring, and …

Several factors, including the dimension and locus of the limbs and head, and other pictures
within an environment, were used to determine the management of event identification and …

Supervising and examining the physical activities of different individuals by using wireless
sensors is beneficial in favor of recognizing postural positioning and moving actions in the …

In computer vision and inertial sensors, recent research focuses on monitoring and
identifying falls, as well as daily actions, through autonomous human action detection. In this …

Computer vision systems face significant challenges in human-human interaction
recognition in dynamic environments, particularly with cluttered backgrounds. In this paper …

Remote physical activity recognition is gaining popularity as it provides improved healthcare
monitoring services without hampering the daily lifestyle of individuals. For smart healthcare …

Due to the constantly increasing demand for automatic tracking and recognition systems,
there is a need for more proficient, intelligent and sustainable human activity tracking. The …

Advanced traffic monitoring systems face major vehicle detection and classification
challenges. Conventional methods need significant computational resources and struggle to …