首页|Sun Yat-sen University Reports Findings in Machine Learning (Coupling machine le arning and theoretical models to compare key properties of biochar in adsorption kinetics rate and maximum adsorption capacity for emerging contaminants)
Sun Yat-sen University Reports Findings in Machine Learning (Coupling machine le arning and theoretical models to compare key properties of biochar in adsorption kinetics rate and maximum adsorption capacity for emerging contaminants)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Guangzhou, People’s Re public of China, by NewsRx correspondents, research stated, “Insights into key p roperties of biochar with a fast adsorption rate and high adsorption capacity ar e urgent to design biochar as an adsorbent in pollution emergency treatment. Mac hine learning (ML) incorporating classical theoretical adsorption models was app lied to build prediction models for adsorption kinetics rate (i.e., K) and maxim um adsorption capacity (i.e., Q) of emerging contaminants (ECs) on biochar.”
GuangzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine Learning
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