首页|Study Findings from Hebei University of Technology Broaden Understanding of Mach ine Learning (Prediction of Optimal Bioremediation Conditions for Petroleum Hydr ocarbon Contaminated Soil By Automated Machine Learning-based Analysis)
Study Findings from Hebei University of Technology Broaden Understanding of Mach ine Learning (Prediction of Optimal Bioremediation Conditions for Petroleum Hydr ocarbon Contaminated Soil By Automated Machine Learning-based Analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Tianjin, P eople’s Republic of China, by NewsRx correspondents, research stated,“Petroleum hydrocarbons (PH) contaminated soil has become a long-standing problem. By empl oyingmicroorganisms, plants, or microbial enzymes, bioremediation has the poten tial to detoxify and removecontaminants from soil and water environments.”
TianjinPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningHebei University of Technol ogy
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