However, the small amount of rail surface condition data leads to the lack of the feature space of the rail surface adhesion medium. Therefore, this paper proposes a method for recognizing the rail ...

Orion Security employs a combination of proprietary AI models and fine-tuned open-source LLMs to automate data protection. “All our AI is something that we developed… we’re not using a third ...

In this paper, through the simulation experiment analysis of COCO (Common Objects in Context) dataset, the mathematical statistics method based on YOLOv3 algorithm was applied to research, and the ...

This data was used for training different prediction models including YOLOv3-tiny ... uses the PAN. The detection procedure includes phases for box and class prediction in addition to using features ...

Deep learning-based target detection allows for efficient and accurate identification of objects to be detected. While there are managers who process manually in data ... using the scoring criteria in ...

A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it possible to run real-time object detection on devices with very ...