首页|Georgia Institute of Technology Reports Findings in Machine Learning (Developmen t of Machine Learning Models for Ion-Selective Electrode Cation Sensor Design)
Georgia Institute of Technology Reports Findings in Machine Learning (Developmen t of Machine Learning Models for Ion-Selective Electrode Cation Sensor Design)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Atlanta, Georg ia, by NewsRx journalists, research stated, “Polyvinyl chloride (PVC)membrane-b ased ion-selective electrode (ISE) sensors are common tools for water assessment s, but theirdevelopment relies on time-consuming and costly experimental invest igations. To address this challenge,this study combines machine learning (ML), Morgan fingerprint, and Bayesian optimization technologieswith experimental res ults to develop high-performance PVC-based ISE cation sensors.”
AtlantaGeorgiaUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesMachine Learning
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