首页|New Machine Learning Study Findings Recently Were Published by a Researcher at S chool of Mechanical and Automotive Engineering (Application of Decision Tree and Machine Learning in New Energy Vehicle Maintenance Decision Making)
New Machine Learning Study Findings Recently Were Published by a Researcher at S chool of Mechanical and Automotive Engineering (Application of Decision Tree and Machine Learning in New Energy Vehicle Maintenance Decision Making)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Anhui, People’s Republ ic of China, by NewsRx editors, the research stated, “Several incidents of elect ric vehicle combustion across various regions in China have brought the safety c oncerns associated with new energy vehicles into sharp focus within public disco urse.” The news correspondents obtained a quote from the research from School of Mechan ical and Automotive Engineering: “Addressing these concerns, this paper explores maintenance decision-making for new energy vehicles through the application of decision trees and machine learning techniques. Initially, the study analyzes ho w decision trees and machine learning are employed in crafting maintenance decis ions for these vehicles. It involves collecting data through internet searches, followed by statistical analyses and preprocessing to set the groundwork for fur ther inquiry. Furthermore, the research advances by developing and refining deci sion tree models, which facilitate the integration of fault diagnosis and mainte nance decision-making processes for new energy vehicles. This effort culminates in the establishment of a robust decision tree model specifically designed for t he maintenance of new energy vehicles, which is subsequently evaluated through a detailed case study.”
School of Mechanical and Automotive Engi neeringAnhuiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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