首页|Reports Outline Machine Learning Study Results from Malaviya National Institute of Technology Jaipur (Faulty Cell Prediction Accuracy Comparison of Machine Lear ning Algorithms Using Temperature Sensor Placement Optimization Approach In …)
Reports Outline Machine Learning Study Results from Malaviya National Institute of Technology Jaipur (Faulty Cell Prediction Accuracy Comparison of Machine Lear ning Algorithms Using Temperature Sensor Placement Optimization Approach In …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Machine Learning have been prese nted. According to news reporting originatingin Rajasthan, India, by NewsRx jou rnalists, research stated, “Immersion cooling is a promising thermalmanagement system for LiBs where the cells are submerged in a thermally conductive coolant, thus improvingheat dissipation and prolonging battery life. The present study investigates an aligned arranged4S4P immersion-cooled LiB module to develop a b est-fit machine learning (ML) model that could predict the fault position in the module depending on the inputs from the temperature sensors that are optimizedunder different operating and fault conditions.”
RajasthanIndiaAsiaAlgorithmsCybo rgsEmerging TechnologiesMachine LearningMalaviya National Institute of Tec hnology Jaipur
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