Class imbalance is a key issue affecting the performance of computer vision applications
such as medical image analysis, objection detection and recognition, image segmentation …

A technique of thermographic fault diagnosis of the shaft of a BLDC (Brushless Direct
Current Electric) motor is presented in this article. The technique works for the shivering of …

Class overlap in imbalanced datasets is the most common challenging situation for
researchers in the fields of deep learning (DL) machine learning (ML), and big data (BD) …

Security plays a crucial role when it comes to planning large events such as concerts,
sporting tournaments, pilgrims, or demonstrations. Monitoring and controlling pedestrian …

Pushing behavior impairs people's sense of well-being in a crowd and represents a
significant safety risk. There are nevertheless still a lot of unanswered questions about who …

Crowding at the entrances of large events may lead to critical and life-threatening situations,
particularly when people start pushing each other to reach the event faster. Automatic and …

Object detection in pedestrian walkways is a crucial area of research that is widely used to
improve the safety of pedestrians. It is not only challenging but also a tedious process to …

The use of video surveillance systems has increased due to security concerns and their
relatively low cost. Researchers are working to create intelligent Closed Circuit Television …

Deep learning techniques have shown their capabilities to discover knowledge from
massive unstructured data, providing data-driven solutions for representation and decision …

Analyzing the microscopic dynamics of pushing behavior within crowds can offer valuable
insights into crowd patterns and interactions. By identifying instances of pushing in crowd …