首页|New Intelligent Systems Study Findings Have Been Reported by Investigators at Ha rbin University (A Knowledge Distillation Based Cross-modal Learning Framework f or the Lithium-ion Battery State of Health Estimation)
New Intelligent Systems Study Findings Have Been Reported by Investigators at Ha rbin University (A Knowledge Distillation Based Cross-modal Learning Framework f or the Lithium-ion Battery State of Health Estimation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning - Intelligent Systems are discussed in a new report. According to news reporting out of Heilongjiang, People’s Republic of China, by NewsRx editors, research st ated, “The accurate prediction of a lithium-ion battery’s State of Health is of critical importance for efficient battery health management. Existing data-drive n estimation methodologies grapple with issues such as high model complexity and a dearth of guidance from prior knowledge, which impose constraints on their ef ficacy.” Financial supporters for this research include Natural Science Foundation of Hei longjiang Province, Natural Science Foundation of Heilongjiang Province.
HeilongjiangPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningHarbin University
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