Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...
As a true milestone on the path to autonomous space systems, a research team at Julius-Maximilians-Universität Würzburg (JMU) ...
Artificial intelligence is transforming how the U.S. military prepares for war, replacing routine drills with adaptive, ...
AI-driven tools are seen to strengthened cybersecurity defenses through various ways such as anomaly detection, predictive analytics, and automated incident response, the same technologies are also ...
A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...
system combines deep learning and artificial potential fields to enable real-time, collision-free navigation in complex ...
Abstract: Urban transportation systems increasingly demand responsive and scalable predictive frameworks to manage fluctuating passenger volumes in real time. This study proposes a novel adaptive ...
October, historically one of the strongest months for Bitcoin (BTC) has already got off to a flyer in what many in the crypto industry label ‘Uptober’. Trading at around $119,810 at press time, the ...
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