Robotics & Machine Learning Daily News2024,Issue(Nov.29) :11-12.

Findings from University of Adelaide Provide New Insights into Machine Learning (Developing an Experiment-based Strong Machine Learning Model for Performance Pr ediction and Full Analysis of Maisotsenko Dewpoint Evaporative Air Cooler)

阿德莱德大学的发现为机器学习提供了新的见解(开发基于实验的强机器学习模型,用于性能预测和Maisotsenko Dewpoint蒸发式空气冷却器的全面分析)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :11-12.

Findings from University of Adelaide Provide New Insights into Machine Learning (Developing an Experiment-based Strong Machine Learning Model for Performance Pr ediction and Full Analysis of Maisotsenko Dewpoint Evaporative Air Cooler)

阿德莱德大学的发现为机器学习提供了新的见解(开发基于实验的强机器学习模型,用于性能预测和Maisotsenko Dewpoint蒸发式空气冷却器的全面分析)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。据新闻报道NewsRx编辑从澳大利亚阿德莱德报道,研究表明,“在所有直接和间接Maisotsenko间接蒸发冷却器(MIEC)是目前国内唯一一种水基蒸发空气冷却器可提供亚湿球温度,同时不向产品空气添加湿气。对于任何给定的MIEC,四个热/流体参数,包括D ry通道流量、湿干侧空气流量比、环境空气温度和环境相对湿度影响MIEC的性能。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Adelaide, Australia, by NewsRx editors, research stated, “Among all direct and indirectwater-based evaporative air coolers, Maisotsenko indirect evaporative cooler (MIEC) is the o nly one whichcan supply sub wet-bulb air temperature while adding no moisture t o the product air. For any given MIEC,four thermal/fluid parameters including d ry channel flow rate, wet-to-dry-side air flow ratio, ambient airtemperature an d ambient relative humidity impact the performance of the MIEC.”

Key words

Adelaide/Australia/Australia and New Z ealand/Cyborgs/Emerging Technologies/Machine Learning/University of Adelaide

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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