With the rapid development of vision sensing, artificial intelligence, and robotics technology,
one of the challenges we face is installing more advanced vision sensors on welding robots …

Addressing the formidable challenges in spatial infrared dim target detection, this paper
introduces an advanced detection approach based on the refinement of the YOLOv8 …

Accurate object tracking in low-light environments is crucial, particularly in surveillance,
ethology applications, and biometric recognition systems. However, achieving this is …

Bud thinning is a critical operation in the early stage of kiwifruit production, which is currently
performed by skilled workers and has an urgent need to develop bud thinning robots …

In recent years, there has been a notable increase in the clinical adoption of instrumental
upper limb kinematic assessment. This trend aligns with the rising prevalence of …

Deep learning has become the preferred method for automated object detection, but the
accurate detection of small objects remains a challenge due to the lack of distinctive …

This investigation introduces a multimodal fusion-based methodology for the precise
detection and accurate localization of static small targets against uniform backgrounds …

The accurate and efficient detection of defective insulators is an essential prerequisite for
ensuring the safety of the power grid in the new generation of intelligent electrical system …

Detecting oriented small objects is a critical task in remote sensing, but the development of
high-performance deep learning-based detectors is hindered by the need for large-scale …

In an era of rapid climate change and its adverse effects on food production, technological
intervention to monitor pollinator conservation is of paramount importance for environmental …