For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...
Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have achieved a major ...
South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.
A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...
Power generation and energy storage systems rely on fluid transfer networks that must operate safely and efficiently across ...
Urban environments depend on complex assemblages of infrastructure assets, interconnected networks, and socio-technical ...
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