首页|New Data from Tomas Bata University Zlin Illuminate Findings in Nanofibers (Adso rption Capacity Prediction and Optimization of Electrospun Nanofiber Membranes f or Estrogenic Hormone Removal Using Machine Learning Algorithms)
New Data from Tomas Bata University Zlin Illuminate Findings in Nanofibers (Adso rption Capacity Prediction and Optimization of Electrospun Nanofiber Membranes f or Estrogenic Hormone Removal Using Machine Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Fresh data on Nanotechnology - Nanofibers are pre sented in a new report. According to newsreporting originating from Zlin, Czech Republic, by NewsRx correspondents, research stated, “This studyfocuses on dev eloping four machine learning (ML) models (Gaussian process regression (GPR), su pportvector machine (SVM), decision tree (DT), and ensemble learning tree (ELT) ) optimized and hyperparameterstuned via genetic algorithm (GA) and particle sw arm optimization (PSO) to analyze and predictthe adsorption capacity of four es trogenic hormones. These hormones are a serious cause of fish femininityand var ious forms of cancer in humans.”
ZlinCzech RepublicEuropeAlgorithmsCyborgsEmerging TechnologiesMachine LearningNanofibersNanotechnologyTomas Bata University Zlin