Highlights What are the main findings? An improvement upon the state-of-the-art YOLOv8
model, proposing a high-performance and highly generalizable model for detecting tiny UAV …

In response to rising security concerns with drones, our research overcomes the
shortcomings of current systems by developing a novel YOLOv8-based technique for UAV …

Environmental, social, and governance issues have gained significant prominence recently,
particularly with a growing emphasis on environmental protection. In the realm of …

Unmanned aerial vehicles (UAVs) with mounted cameras have the advantage of capturing
aerial (bird-view) images. The availability of aerial visual data and the recent advances in …

In many educational institutions, safety management traditionally depends upon manual
video surveillance, leading to potential delays in the identification and alerting of perilous …

UAV multitarget detection plays a pivotal role in civil and military fields. Although deep
learning methods provide a more effective solution to this task, changes in target size, shape …

In this study, we address the critical need for enhanced situational awareness and victim
detection capabilities in Search and Rescue (SAR) operations amidst disasters. Traditional …

Target detection is an important problem in remote-sensing with crucial applications in law-
enforcement, military and security surveillance, search-and-rescue operations, and air traffic …

Traffic accidents are a significant global concern, leading to numerous fatalities and injuries,
especially in remote areas where rapid detection and reporting to emergency services are …

Ship detection is vital for maritime safety and vessel monitoring, but challenges like false
and missed detections persist, particularly in complex backgrounds, multiple scales, and …