首页|New Machine Learning Findings from China Jiliang University Described (Machine L earning for Full Lifecycle Management of Lithium-ion Batteries)
New Machine Learning Findings from China Jiliang University Described (Machine L earning for Full Lifecycle Management of Lithium-ion Batteries)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Hangzhou, Peop le’s Republic of China, by NewsRx journalists, research stated,“Developing adva nced battery materials, monitoring and predicting the health status of batteries , andeffectively managing retired batteries are crucial for accelerating the cl osure of the whole industrial chainof power lithiumion batteries for electric v ehicles. Machine learning technology plays a vital role inthe research, product ion, service, and retirement of lithium-ion batteries due to its robust learning andpredictive capabilities.”
HangzhouPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningChina Jiliang University
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