首页|Studies in the Area of Machine Learning Reported from University of Electronic S cience and Technology of China (Progress In the Prognosis of Battery Degradation and Estimation of Battery States)

Studies in the Area of Machine Learning Reported from University of Electronic S cience and Technology of China (Progress In the Prognosis of Battery Degradation and Estimation of Battery States)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Chengdu, Peop le’s Republic of China, by NewsRx journalists, research stated,“Lithium-ion bat teries (LIBs) have gained immense popularity as a power source in various applic ations.Accurately predicting the health status of these batteries is crucial fo r optimizing their performance,minimizing operating expenses, and preventing fa ilures.”

ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningUniversity of Electronic Sc ience and Technology of China

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.25)