Abstract: Facial recognition systems are widely used in various applications such as security, healthcare, and authentication, but face significant challenges in uncontrolled environments. Poor ...

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Tired of hype and confusing tutorials? This video gives honest, no-fluff advice for beginners starting out in deep learning. Learn what to focus on, what to ignore, and how to make real progress ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

There's something interesting happening with the celebrities we've known, loved, and followed for decades: They don't seem to be aging like the rest of us. Lindsay Lohan, at the height of her ...

Introduction: Assessing eating behaviors such as eating rate can shed light on risk for overconsumption and obesity. Current approaches either use sensors that disrupt natural eating or rely on ...

The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...

Abstract: In this paper, the goal is to develop a real-time system for human action recognition and face recognition based on advanced computer vision and machine learning technologies. It can detect ...

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...