首页|Recent Research from Jadavpur University Highlight Findings in Machine Learning (Optimization of Cascade Aeration Characteristics and Predicting Aeration Effici ency With Machine Learning Model In Multistage Filtration)
Recent Research from Jadavpur University Highlight Findings in Machine Learning (Optimization of Cascade Aeration Characteristics and Predicting Aeration Effici ency With Machine Learning Model In Multistage Filtration)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting originating from West Bengal, India, by NewsRx correspondents, research stated, "The study assesses t he optimal aeration efficiency of a stepwise cascade aeration system through exp erimental trials in a lab scale model setup, aimed at determining the geometric and flow characteristics of the cascade system. Subsequently, the collected data sets are employed to evaluate the efficacy of four advanced machine learning alg orithms, namely K-nearest neighbour (KNN), gradient boosting regressor (GBR), de cision tree regressor (DTR), and random forest regressor (RFR), in predicting th e aeration efficiency at 20 degrees C (E20) of the cascade aeration system." Financial support for this research came from School of Water Resources Engineer ing of Jadavpur University in India.
West BengalIndiaAsiaCyborgsEmerg ing TechnologiesMachine LearningJadavpur University
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