HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of Ophthalmology, held from Oct.
According to Rotter and his colleagues, their fingerprint matrix method is a versatile and universal technique that could be ...
EZ Eye's algorithmic technology reduces manual image grading by 97% while maintaining 96% accuracy for automated quality ...
Abstract: Object recognition and grasping position detection are critical tasks in robotic manipulation, particularly when operating in dynamic and unstructured environments. This paper presents the ...
Miniaturized electronics and intricate objects require a certain finesse. Researchers have looked into the development of a ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
A deep dive into two technology solutions that are shifting central monitoring centers into proactive, intelligence-driven ...
Abstract: Deep learning-based object detectors face unique challenges in construction sites, including severe occlusions from complex spatial arrangements, similar appearances between different ...
ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
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