Advancements in artificial intelligence algorithms and models, along with embedded device
support, have resulted in the issue of high energy consumption and poor compatibility when …

Attention mechanism, one of the most extensively utilized components in computer vision,
can assist neural networks in emphasizing significant elements and suppressing irrelevant …

Vehicle detection is an important component of intelligent transportation systems and
autonomous driving. However, in real-world vehicle detection scenarios, the presence of …

Fire disasters are considered to be among the most harmful hazards, causing fatalities,
ecological and economic chaos, property damage, and they can even impact climate …

Autonomous driving is an important branch of artificial intelligence, and real-time and
accurate object detection is key to ensuring the safe and stable operation of autonomous …

Road surface crack detection methods using vehicle-mounted images have gained
substantial attention recently. Notably, YOLO-based techniques have exhibited effectiveness …

This study highlights the evolving landscape of object detection methodologies,
emphasizing the superiority of deep learning-based approaches over traditional methods …

Falls pose a significant risk to elderly people, patients with diseases such as neurological
disorders, cardiovascular diseases, and disabled children. This highlights the need for real …

Object detection is crucial for individuals with visual impairment, especially when waiting for
a bus. In this study, we propose a lightweight and highly accurate bus detection model …

Internal defects in concrete structures pose a great risk and potential hazard to the safety
and durability of civil structure. Reliable and accurate detection of the internal conditions of …