Robotics & Machine Learning Daily News2024,Issue(Sep.23) :75-76.

Queen Mary University of London Reports Findings in Machine Learning (Analyzing spatio-temporal dynamics of dissolved oxygen for the River Thames using supersta tistical methods and machine learning)

Robotics & Machine Learning Daily News2024,Issue(Sep.23) :75-76.

Queen Mary University of London Reports Findings in Machine Learning (Analyzing spatio-temporal dynamics of dissolved oxygen for the River Thames using supersta tistical methods and machine learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in London, United Kingdom, by NewsRx journalists, research stated, “By employing superstatistical methods and machine learning, we analyze time series data of water quality indi cators for the River Thames (UK). The indicators analyzed include dissolved oxyg en, temperature, electrical conductivity, pH, ammonium, turbidity, and rainfall, with a specific focus on the dynamics of dissolved oxygen.”

Key words

London/United Kingdom/Europe/Chalcoge ns/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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