首页|Investigators at China Agricultural University Report Findings in Support Vector Machines (Multi-cavitation States Identification of a Sewage Pump Using Ceemdan and Boa-svm)
Investigators at China Agricultural University Report Findings in Support Vector Machines (Multi-cavitation States Identification of a Sewage Pump Using Ceemdan and Boa-svm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning - Support Vector Machines. According to news originating from Bei ing, People’s Republic of China, by NewsRx correspondents, research stated, “This study introduces a novel approach to identify multiple cavitation states in s ewage pumps, crucial for urban sewage treatment. Cavitation, caused by the formation and collapse of bubbles of water vapor, hampers pump efficiency and induces vibration.”
BeijingPeople’s Republic of ChinaAsiaMachine LearningSupport Vector MachinesChina Agricultural University
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