首页|Research on Machine Learning Detailed by a Researcher at China University of Min ing and Technology (Thermal Runaway Warning of Lithium Battery Based on Electron ic Nose and Machine Learning Algorithms)
Research on Machine Learning Detailed by a Researcher at China University of Min ing and Technology (Thermal Runaway Warning of Lithium Battery Based on Electron ic Nose and Machine Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on artificial intelligence have bee n presented. According to news reporting fromXuzhou, People’s Republic of China , by NewsRx journalists, research stated, “Characteristic gas detectioncan be a n efficient way to predict the degree of thermal runaway of a lithium battery. I n this work, asensor array consisting of three commercial MOS sensors was emplo yed to discriminate between threetarget gases, CO, H2 and a mixture of the two, which are characteristic gases released during the thermalrunaway of lithium b atteries.”
China University of Mining and Technolog yXuzhouPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging Techn ologiesMachine Learning
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