首页|Leibniz Institute for Catalysis Reports Findings in Photocatalytics (Integrative analysis of multi machine learning models for tetracycline photocatalytic degradation with MOFs in wastewater treatment)
Leibniz Institute for Catalysis Reports Findings in Photocatalytics (Integrative analysis of multi machine learning models for tetracycline photocatalytic degradation with MOFs in wastewater treatment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Nanotechnology - Photocatalytics is the subject of a report. According to newsoriginating from Rostock, Germany, by NewsRx correspondents, research stated, “This study focuses on theutilization of connectionist models, specifically Independent Component Analysis (ICA), Genetic Algorithm(GA), Particle Swarm Optimization (PSO), and Genetic Algorithm-Particle Swarm Optimization (GAPSO)integrated with a least-squares support vector machine (LSSVM) to forecast the degradation of tetracycline(TC) through photocatalysis using Metal-Organic Frameworks (MOFs). The primary objective of this studywas to evaluate the viability and precision of these connectionist models in estimating the efficiency of TCdegradation, particularly within the context of wastewater treatment.”
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