Multispectral imaging and deep learning have emerged as powerful tools supporting diverse
use cases from autonomous vehicles to agriculture, infrastructure monitoring and …

Fire incidents occurring onboard ships cause significant consequences that result in
substantial effects. Fires on ships can have extensive and severe wide-ranging impacts on …

Weeds can decrease yields and the quality of crops. Detection, localisation, and
classification of weeds in crops are crucial for developing efficient weed control and …

The detection of pedestrians using infrared images is essential for security during automatic
driving and monitoring under low illumination or occlusion conditions. However, detecting …

Existing pavement defect detection models face challenges in balancing detection accuracy
and speed while being constrained by large parameter sizes, hindering deployment on …

The distribution of transmission lines is complex, influenced by terrain and topography,
making their maintenance and management challenging. With the advancement of global …

Intelligent transportation systems (ITSs) derive significant advantages from advanced
models like YOLOv8, which excel in predicting traffic incidents in dynamic urban …

Pedestrian crossings are an essential part of the urban landscape, providing safe passage
for pedestrians to cross busy streets. While some are regulated by timed signals and are …

Buckling restrained brace frames (BRBFs) exhibit exceptional lateral stiffness, load-bearing
capacity, and energy dissipation properties, rendering them a highly promising choice for …

In contemporary medical research, respiratory disorders have become a primary focus.
Improving patient outcomes for any medical condition largely depends on early identification …