Fire accidents are life-threatening catastrophes leading to losses of life, financial damage,
climate change, and ecological destruction. Promptly and efficiently detecting and …

The excessive use of electronic devices for prolonged periods has led to problems such as
neck pain and pressure injury in sedentary people. If not detected and corrected early, these …

In recent years, the You Only Look Once (YOLO) series of object detection algorithms have
garnered significant attention for their speed and accuracy in real-time applications. This …

With the rising prevalence of retinal diseases, identifying eye diseases at an early stage is
crucial for effective treatment and prevention of irreversible blindness. But Ophthalmologists …

This study addresses the lack of computer vision techniques for counting traffic at motorcycle-
dominated intersections by developing an integrated framework. Three models are …

This paper presents ongoing work to create a dataset for low-flying autonomous medical
UAS operations, focused on human stance recognition. This is an exploration of the viability …

The study explores crowd control in densely populated metropolitan settings, emphasizing
the necessity of striking a compromise between convenience and security. It looks at …

The surge in global trade necessitates enhanced efficiency in logistics operations,
particularly in container management. Current manual identification methods for container …

As outbreaks of respiratory illnesses continue to arise, such as influenza and the JN. 1
variant of COVID-19, this study utilizes YOLOv7 in an effort to investigate the effectiveness of …

This project aims to find a more effective level of sports analysis that can facilitate athletes,
coaches, and sports analysts in increasing the accuracy of sports movement that involves …