Abstract: Many Internet of Things (IoT) devices of the same model share identical architectures and vulnerabilities. This homogeneity enables various attackers to exploit similar weaknesses across ...

Hsdlib is a C library that provides hardware-accelerated implementations of popular distance metrics and similarity measures for high-dimensional data. It automatically picks the optimal ...

We use a weighted Jaccard similarity approach that compares exercises across six key dimensions. Each factor is weighted based on its importance for achieving similar training outcomes: The direction ...

Now that anyone can use AI to generate keywords and spin up a paid search campaign in minutes, it’s easy to assume the hard work is done. But creating structured, scalable performance still requires a ...

Is your feature request related to a problem? Please describe. The current skill-matching logic (if based only on keywords) can be limited. It might miss strong candidates who use different but ...

Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques often struggle ...

ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...

Abstract: This paper presents a scalable and interpretable recommender system architecture that uses a property graph model implemented in Neo4j to generate personalized product recommendations. By ...

Harry Nugraha is a contributor from Indonesia. He is an anime addict first and a freelance writer second. He's been writing about anime and manga since 2020, and he loves to watch an unhealthy amount ...

Study reveals how neurodevelopment and mental health influence unhealthy eating patterns during adolescence. Study: Relationships of eating behaviors with psychopathology, brain maturation and genetic ...