Robotics & Machine Learning Daily News2024,Issue(Apr.5) :79-80.

Study Findings from Edith Cowan University Broaden Understanding of Machine Lear ning (Performance Enhancement of a Solardriven Dcmd System Using an Air-cooled Condenser and Oil: Experimental and Machine Learning Investigations)

Robotics & Machine Learning Daily News2024,Issue(Apr.5) :79-80.

Study Findings from Edith Cowan University Broaden Understanding of Machine Lear ning (Performance Enhancement of a Solardriven Dcmd System Using an Air-cooled Condenser and Oil: Experimental and Machine Learning Investigations)

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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 reportingoriginating in Perth, Australia, b y NewsRx journalists, research stated, “Solar-driven direct contactmembrane dis tillation systems (DCMD) are disadvantaged by low freshwater productivity and lo w gainoutput-ratio (GOR). Consequently, this study aims to achieve two primary objectives: i) improving the solar DCMD performance, and ii) harnessing machine learning models for precise and straightforward modelingof the solar DCMD syste m.”

Key words

Perth/Australia/Australia and New Zeal and/Cyborgs/Emerging Technologies/Machine Learning/Edith Cowan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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