Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Abstract: This paper gives insight about the implementation of brain tumor detection through deep learning using convolution neural networks (CNN). It deeply explain each and every steps needed to ...

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.

A slithery reptile that had been missing for six months was recently captured inside an Oklahoma City mobile home park. The 8-foot albino golden child reticulated python, which had gone missing ...

The detection of smoking behavior is an emerging field faced with challenges in identifying small, frequently occluded objects like cigarette butts using existing deep learning technologies. Such ...

A boom in machine-learning applications continues to drive up the popularity of 27-year-old Python, so much that it could soon outrank 33-year-old C++ on TIOBE's programming language index. Python's ...

There are variety of methods for edge detection in a image which focus on identifying the change in brightness level of pixels as sharp or gradual. The sharp change is edge. The various methods using ...