The stock market has been an attractive field for a large number of organizers and investors
to derive useful predictions. Fundamental knowledge of stock market can be utilised with …

Multi-object recognition resolves the need to instantaneously identify numerous things,
which is essential for develo** an in-depth understanding of the world of vision. Variations …

Traffic monitoring is of outmost importance in today's modern world. In the past, stationary
data collectors such as video cameras and induction loops were used for this task. However …

Object detection and recognition have emerged as crucial research areas, driven by the dire
need to address the challenges posed by identifying and recognizing objects in diverse …

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

In modern times, the identification and categorization of intelligent vehicles have attained
significant recognition within the realm of highway management, as it holds paramount …

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 …

Pedestrian detection and tracking are vital elements of today's surveillance systems, which
make daily life safe for humans. Thus, human detection and visualization have become …

The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …

Automated human posture estimation (A-HPE) systems need delicate methods for detecting
body parts and selecting cues based on marker-less sensors to effectively recognize …