Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...
Market growth is driven by industrial automation, predictive maintenance demand, AI/ML analytics adoption, IoT integration, and the need to reduce downtime and operational costs.Austin, Jan. 27, 2026 ...
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
An individual may become completely paralyzed because of any number of accidents that interfere with the functioning of the ...
DMHTs sit within a broader wave of digital health technologies, helping manage a range of issues such as asthma with smart ...
In imaging, AI systems have demonstrated superior accuracy in breast cancer screening and skin lesion classification, often surpassing experienced clinicians. AI revolutionizes cancer care by ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
1 Department of Computer Science, University of Technology, Baghdad, Iraq 2 Department of Computer Science and Engineering, Artificial Intelligence and Innovation Centre (AIIC), University of ...
Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
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