Researchers from State University Describe Findings in Machine Learning [Machine Learning Approach for Ion Imprinted (Iip) and Non-imprinted (Nip) Polymer Discrimination Based On Pyrolysis Kinetic Data]

Robotics & Machine Learning Daily News2024，Issue(Jan.3) ：2-3.

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Researchers from State University Describe Findings in Machine Learning [Machine Learning Approach for Ion Imprinted (Iip) and Non-imprinted (Nip) Polymer Discrimination Based On Pyrolysis Kinetic Data]

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Salvador, Brazil, by NewsRx journalists, research stated, “The improper disposal of effluents containingtoxic elements, such as nickel and mercury, can result in the gradual deterioration of surface waterquality, impacting aquatic ecosystems and human health. Ionically imprinted polymers (IIPs) are promisingcandidates for remediating toxic areas due to their high removal rates and selectivity.”

Key words

Salvador/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning/State University

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出版年

2024

Robotics & Machine Learning Daily News

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