Autonomous driving is a promising way to future safe, efficient, and low-carbon
transportation. Real-time accurate target detection is an essential precondition for the …

Due to the limitations of small targets in remote sensing images, such as background noise,
poor information, and so on, the results of commonly used detection algorithms in small …

Ensuring the reliability of electrical distribution networks is a pressing concern, especially
given the power outages due to surface contamination on insulating components. Surface …

Due to the broad usage and widespread popularity of drones, the demand for a more
accurate object detection algorithm for images captured by drone platforms has become …

In actual processing plants, the quality and efficiency of the traditional spiral slope flow
concentrator still rely on workers to observe the changes in the mineral belt. However, in …

In this study the effectiveness of using Basalt Fiber Reinforced Polymer (BFRP) for
strengthening and repairing concrete beams after pre-damage was investigated. Four-point …

Intestinal parasitic infections pose a grave threat to human health, particularly in tropical and
subtropical regions. The traditional manual microscopy system of intestinal parasite …

The objective of this study is to supply an overview of research work based on video-based
networks and tiny object identification. The identification of tiny items and video objects, as …

Purpose Accurate and rapid tracking and counting of building materials are crucial in
managing on-site construction processes and evaluating their progress. Such processes are …

This study presents a comprehensive analysis and improvement of the YOLOv8-n algorithm
for object detection, focusing on the integration of Wasserstein Distance Loss, FasterNext …