Robotics & Machine Learning Daily News2024,Issue(Nov.8) :45-45.

Study Findings on Machine Learning Are Outlined in Reports from Department of Co mputer Engineering (Enhancing Infrared Solar Absorption Efficiency Through Plasm onic Solar Absorber Using Machine Learning-assisted Design)

关于机器学习的研究结果概述于计算机工程系(增强红外太阳能等离子体太阳吸收器的吸收效率机器学习辅助设计

Robotics & Machine Learning Daily News2024,Issue(Nov.8) :45-45.

Study Findings on Machine Learning Are Outlined in Reports from Department of Co mputer Engineering (Enhancing Infrared Solar Absorption Efficiency Through Plasm onic Solar Absorber Using Machine Learning-assisted Design)

关于机器学习的研究结果概述于计算机工程系(增强红外太阳能等离子体太阳吸收器的吸收效率机器学习辅助设计

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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-关于机器学习的详细数据已经呈现。根据新闻报道这项研究源于印度古吉拉特邦,由NewsRx记者报道,“这项研究介绍了红外太阳能吸收器与吸收预测机耦合设计学习技巧。我们的方法包括创建一个适合红外波长的高效ab索伯辅之以机器学习模式L,以准确预测吸收水平。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Gujarat, India, by NewsRx correspondents, research stated, “This research introduces thearchitect ure of an infrared solar energy absorber coupled with absorption prognosis emplo ying machinelearning techniques. Our approach involves creating an efficient ab sorber tailored for infrared wavelengthscomplemented by a machine learning mode l for accurately predicting absorption levels.”

Key words

Gujarat/India/Asia/Cyborgs/Emerging Technologies/Machine Learning/Department of Computer Engineering

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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