Detecting and classifying vehicles as objects from images and videos is challenging in
appearance-based representation, yet plays a significant role in the substantial real-time …

In recent times, AI and UAV have progressed significantly in several applications. This article
analyzes applications of UAV with modern green computing in various sectors. It addresses …

Distance education environments promote more parental responsibility and teachers'
involvement in students' education. Studies on online learning have shown that students …

Remote sensing and deep learning are being widely combined in tasks such as urban
planning and disaster prevention. However, due to interference occasioned by density …

In recent years, the combination of artificial intelligence (AI) and unmanned aerial vehicles
(UAVs) has brought about advancements in various areas. This comprehensive analysis …

Object detection is a fundamental challenge encountered in understanding and analyzing
remote sensing images. Many current detection methods struggle to identify objects in …

With the continuous development of remote sensing technology, the data volume of remote
sensing images has increased exponentially, resulting in many difficulties in the storage …

Object detection on drone-view images is vital for applications like intelligent transportation,
abnormal behavior detection, and urban surveillance. However, the diverse perspectives …

Radar point clouds will experience variations in density, which may cause incorrect alerts
during clustering. In turn, it will diminish the precision of the decision-level fusion method. To …

With the development and popularization of unmanned aerial vehicle (UAV) equipment,
UAV-based remote sensing technology has developed rapidly. With UAV aerial …