首页|Study Data from Ocean University of China Update Knowledge of Machine Learning ( Characterizing Nodule Motion In Abyssal Environments Induced By Double-row Jets: a Machine Learning Approach)
Study Data from Ocean University of China Update Knowledge of Machine Learning ( Characterizing Nodule Motion In Abyssal Environments Induced By Double-row Jets: a Machine Learning Approach)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Qingdao, People’s Republic of China, by NewsRx editors, research stated, “Double-row hydrauliccollectors are extensively utilized for deep-sea polymetallic nodule harvesting. Understanding the movementbehavior of particles within the flow field is crucial for evaluat ing the efficiency collection system and guidingthe design of deep-sea hydrauli c collectors.”
QingdaoPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningOcean University of China
NETL
NSTL
