首页|Findings from North China University of Science and Technology Has Provided New Data on Machine Learning (A Novel Approach for Improving Carbon Fixation of chlo rella Sp. By Elements In Converter Steel Slag Using Machine Learning)
Findings from North China University of Science and Technology Has Provided New Data on Machine Learning (A Novel Approach for Improving Carbon Fixation of chlo rella Sp. By Elements In Converter Steel Slag Using Machine Learning)
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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. According to news reporting originating in Tangshan, People’s Re public of China, by NewsRx journalists, research stated, “This study investigate s the biomass and carbon fixation rate of Chlorella sp. by the main valuable ele ments in converter steel slag in F/2 seawater medium. The results indicate that Ca, Mg, P, Si, Fe, and Mn can increase the biomass and carbon fixation rate of C hlorella sp., while Cu, Zn, Cr, and Al can decrease the biomass and carbon fixat ion rate of Chlorella sp..”
TangshanPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNorth China University of Science and Technology
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