Recent advances unveiled physical neural networks as promising machine learning platforms, offering faster and more energy-efficient information processing. Compared with extensively-studied optical ...
The present study introduces a novel approach utilizing machine learning techniques to predict the crucial mechanical properties of engineered cementitious composites (ECCs), spanning from typical to ...
Computer vision researchers use machine learning to train computers in visually recognizing objects but very few apply machine learning to mechanical parts, such as gearboxes, bearings, brakes, ...
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