首页|Data on Machine Learning Described by Researchers at Harbin Engineering Universi ty (Predicting Propeller Emergence Severity In Adverse Sea Conditions: an Integr ated Approach Using Stacked Machine Learning Models)
Data on Machine Learning Described by Researchers at Harbin Engineering Universi ty (Predicting Propeller Emergence Severity In Adverse Sea Conditions: an Integr ated Approach Using Stacked Machine Learning Models)
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 Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Harbin, People’s Repub lic of China, by NewsRx correspondents, research stated, “In adverse sea conditi ons, variations in the propeller submergence depth can induce ventilation and ou t-ofwater effects. These effects result in propeller-torque and thrust losses, impacting the shipboard power network ‘ s reliability and accelerate wear on pro pulsion shaft system.” Funders for this research include National Natural Science Foundation of China ( NSFC), High-tech Ship Research Program of the Ministry of Industry and Informati on Technology of China.
HarbinPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHarbin Engineering Universit y
NETL
NSTL
