首页|Reports from Tongji University Provide New Insights into Machine Learning (Autoe ncoded Chemical Feature Interaction Machine Learning Method Boosting Performance of Piezoelectric Catalytic Process)
Reports from Tongji University Provide New Insights into Machine Learning (Autoe ncoded Chemical Feature Interaction Machine Learning Method Boosting Performance of Piezoelectric Catalytic Process)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from Shanghai, People’s Rep ublic of China, by NewsRx journalists, research stated, “Piezoelectric catalytic process can reduce energy consumption in water treatment processes. However, th e design of high-performance piezoelectric materials and the search for operatin g parameters are still challenging tasks.” Financial supporters for this research include National Key Research and Develop ment Program of China, Shanghai Municipal Science and Technology Major Project.
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningTongji University
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