By utilizing YOLOv8 for real-time object detection and Streamlit for an interactive user interface, the system provides a seamless and efficient experience for healthcare professionals and researchers ...

The underlying assumption behind using this method for defining salient objects is that salient pixels have higher minimum directional contrast than nonsalient pixels. Finding MDC provides us with a ...

However, the existing ALLS contains lots of movable parts, which are easily to be damaged and entangled, and will generate flow resistance to the AUV carrier. Moreover, existing ALLS mainly focus on ...

One of the most significant advances in deep learning and image processing is object detection ... plotting with the flow, model training, dataset customization, real-time or video file creation, ...

Therefore, we present a deep learning technique based on the unified real-time object detection algorithm to estimate traffic flow and vehicle speed in DAS ... by lighting and meteorological factors.

Built with FastAPI, Streamlit ... fraud detection, value financial datasets. Because financial transactions are inherently private, there are no publicly accessible datasets, which contributes to the ...