The utilization of Synthetic Aperture Radar (SAR) for real-time ship detection proves highly
advantageous in the supervision and monitoring of maritime activities. Ship detection in the …

Tomatoes, widely cherished for their high nutritional value, necessitate precise ripeness
identification and selective harvesting of mature fruits to significantly enhance the efficiency …

To address the challenge of low detection accuracy and slow detection speed in unmanned
aerial vehicle (UAV) aerial images target detection tasks, caused by factors such as complex …

To address the challenges of low accuracy and suboptimal real-time performance in fall
detection, caused by lighting variations, occlusions, and complex human poses, a novel fall …

As urbanization accelerates, solid waste management has become one of the key issues in
urban governance. Accurate and efficient waste sorting is a crucial step in enhancing waste …

With the development of educational technology, machine learning and deep learning
provide technical support for traditional classroom observation assessment. However, in real …

The quality of the exposed avionics solder joints has a significant impact on the stable
operation of the in-orbit spacecrafts. Nevertheless, the previously reported inspection …

Current research on image classification has combined convolutional neural networks
(CNNs) and transformers to introduce inductive biases to the model, enhancing its ability to …

To detect text from electronic seals that have significant background interference, blurring,
text overlapping, and curving, an improved YOLOv8 model named RA-YOLOv8 was …

Accurately identifying tropical fish serves as a crucial indicator, offering an insight into the
state of marine biodiversity and the condition of coral reef ecosystems. However, the current …