首页|Studies from Loughborough University in the Area of Machine Learning Described ( A Machine Learning-enabled Prediction of Damage Properties for Fiber-reinforced Polymer Composites Under Out-of-plane Loading)

Studies from Loughborough University in the Area of Machine Learning Described ( A Machine Learning-enabled Prediction of Damage Properties for Fiber-reinforced Polymer Composites Under Out-of-plane Loading)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting out of Loughborough, United Kingdo m, by NewsRx editors, research stated, “For understanding the damage morphology in fiber-reinforced plastics under out-of-plane loading, engineers/ and designer s mostly rely on experimental investigations and numerical models, which could b e costly in terms of resources and computational requirements. Thus, pragmatic p redictive approaches that can offer ready-to-use tools for material optimization have gained traction in recent years.”

LoughboroughUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningLoughborough University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.17)