The European Space Agency (ESA) is accelerating a quiet revolution on the factory floor: using artificial intelligence to design, inspect, ...
Traditional signal processing techniques have achieved much, but they face notable limitations when confronted with complex, high-volume data. Classical methods often rely on manual feature extraction ...
In developing countries, the impact of significant events such as earthquakes, extreme weather, terrorist attacks, cyber incidents, or health emergencies can be more pronounced given the lack of ...
Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis. Recent advances in machine learning have significantly improved the ability to evaluate data quality ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Predictive maintenance, driven by routine vibration measurements, plays a crucial role in extending the life of rotating machinery. Machinery is often one of the largest, if not the largest, capital ...
Department of Pharmacology and Toxicology, R. Ken Coit College of Pharmacy, University of Arizona, Tucson, Arizona 85721, United States Clinical and Translational Oncology Program and Skin Cancer ...
Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
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