Abstract: Leaf diseases of coconut severely affect the yield and quality of the crops. Early detection is imperative for any control measures to be effective. Here, an approach on the deep ...

Abstract: In this work, we outline the development of a deep learning-based segmentation network aimed at automatically segmenting heart chambers using virtual CT angiography (VCT A) data. Inspired by ...

Abstract: Sea ice plays a crucial role in global climate patterns, making the acquisition of sea ice change information significant. The rapid development of global navigation satellite system (GNSS) ...

Abstract: Security of private and military areas is very important, drones are becoming more available day by day even though they are used for different purposes. In no-fly zones like metros, ...

Abstract: Semi-supervised semantic segmentation (SS-SS) aims to mitigate the heavy annotation burden of dense pixel labeling by leveraging abundant unlabeled images alongside a small labeled set.

This project is a computer vision system designed to detect weapons in video streams or files. It is intended to enhance public safety by identifying dangerous objects such as firearms in real-time or ...

Users in the US can now shop for products using natural language descriptions and reference images. Users in the US can now shop for products using natural language descriptions and reference images ...

Introduction: Early and accurate detection of diabetes-related foot ulcers (DFU) that may become chronic is essential to prevent long-term disability, amputation, and mortality. Various non-invasive ...

Abstract: Cotton, as an important food crop, is related to people's lives. Cotton is susceptible to various pests and diseases during its growth and development, which greatly affects its production.