首页|Harbin Institute of Technology Reports Findings in Machine Learning (Microbial-G uided prediction of methane and sulfide production in Sewers: Integrating mechan istic models with Machine learning)
Harbin Institute of Technology Reports Findings in Machine Learning (Microbial-G uided prediction of methane and sulfide production in Sewers: Integrating mechan istic models with Machine learning)
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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 the subject of a report. According to news reporting out of Shenzhen, People’s Republic of China, by NewsRx editors, research stated, “Accurate modeling of methane (CH) and sulfide (HS) production in sewer systems was constrained by insufficient consideration of microbial processes under dynamic environmental conditions. This study introduces a microbial-guided machine learning (ML) framework (Micro -ML), which integrates microbial process representations from mechanistic models (microbial information) with ML models.”
ShenzhenPeople’s Republic of ChinaAsiaAlkanesCyborgsEmerging TechnologiesMachine LearningMethane
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