首页|Reports from Sao Paulo State University (UNESP) Add New Data to Findings in Mach ine Learning (Fuzzy Machine Learning Predictions of Settling Velocity Based On F ractal Aggregate Physical Features In Water Treatment)
Reports from Sao Paulo State University (UNESP) Add New Data to Findings in Mach ine Learning (Fuzzy Machine Learning Predictions of Settling Velocity Based On F ractal Aggregate Physical Features In Water Treatment)
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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 out of Sao Jose dos Campos, Brazil, by NewsRx editors, research stated, “The dynamics of gravitational sedi mentation in water treatment are crucial for optimising particulate matter remov al. This study addresses the effect of fractal aggregate features on settling ve locity and explores fuzzy machine learning (ML) for predicting this phenomenon.” Funders for this research include Coordenacao de Aperfeicoamento de Pessoal de N ivel Superior (CAPES), Conselho Nacional de Desenvolvimento Cientifico e Tecnolo gico (CNPQ), Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP).
Sao Jose dos CamposBrazilSouth Ameri caCyborgsEmerging TechnologiesMachine LearningSao Paulo State University (UNESP)
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