Studies from University of Douala Describe New Findings in Machine Learning (Enh ancement of Energy and Cost Efficiency In Wastewater Treatment Plants Using Hybr id Bio-inspired Machine Learning Control Techniques)

杜阿拉大学的研究报告描述了机器学习的新发现(使用Hybr ID生物启发机器学习控制技术提高废水处理厂的能源和成本效率)

Robotics & Machine Learning Daily News2024，Issue(Jun.10) ：91-92.

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Studies from University of Douala Describe New Findings in Machine Learning (Enh ancement of Energy and Cost Efficiency In Wastewater Treatment Plants Using Hybr id Bio-inspired Machine Learning Control Techniques)

杜阿拉大学的研究报告描述了机器学习的新发现(使用Hybr ID生物启发机器学习控制技术提高废水处理厂的能源和成本效率)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可以获得。根据News Rx记者来自喀麦隆杜阿拉的新闻报道，研究表明，“全球人口增长推动了城市地区对cle的水、能源和废水生产的需求。大多数现有的废水处理厂(WWTPs)都是能源和成本密集型的。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting originating in Douala, Cameroon, by News Rx journalists, research stated, “Global population growth drives demand for cle an water, energy, and wastewater production in urban areas. Most existing wastew ater treatment plants (WWTPs) are energy- and cost-intensive.”

Key words

Douala/Cameroon/Africa/Cyborgs/Emerg ing Technologies/Machine Learning/University of Douala

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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