首页|Tokyo University of Science Researcher Adds New Data to Research in Machine Lear ning (Efficient Prediction of Fatigue Damage Analysis of Carbon Fiber Composites Using Multi-Timescale Analysis and Machine Learning)

Tokyo University of Science Researcher Adds New Data to Research in Machine Lear ning (Efficient Prediction of Fatigue Damage Analysis of Carbon Fiber Composites Using Multi-Timescale Analysis and Machine Learning)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According tonews reporting from Noda, Japan, by NewsRx journalists, research stated, “Carbon fiber reinforced plastic(CFRP) po ssesses numerous advantages, such as a light weight and high strength; however, its complexdamage mechanisms make the evaluation of fatigue damage particularly challenging.”

Tokyo University of ScienceNodaJapanAsiaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.25)