Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

The technology works by using cameras or images to capture a person's face, mapping key features like the distance between the eyes or the shape of the nose to create a digital "faceprint." That ...

Recent advancements in deep learning have significantly transformed weather recognition, enabling more accurate and real‐time interpretation of meteorological conditions from visual data. Techniques ...

This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...

Human action recognition in still images is a fundamental computer vision task with applications in surveillance, human-computer interaction, content-based image retrieval, and assistive technologies.

Human Action Recognition (HAR) is significant in many areas, including surveillance security, healthcare services, and industry monitoring. HAR systems automatically learn the data captured by sensors ...

Abstract: The goal of this article is to explore the strategy of athletes' action recognition and optimization based on deep learning (DL), so as to improve the accuracy and real-time performance of ...