Robotics & Machine Learning Daily News2024,Issue(Jun.13) :83-84.

Redeemer's University Researchers Illuminate Research in Machine Learning (Impro ving millimetre-wave path loss estimation using automated hyperparameter-tuned s tacking ensemble regression machine learning)

Redeemer大学的研究人员阐明了机器学习的研究(使用自动超参数调谐的S跟踪集成回归机器学习改进毫米波路径损耗估计)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :83-84.

Redeemer's University Researchers Illuminate Research in Machine Learning (Impro ving millimetre-wave path loss estimation using automated hyperparameter-tuned s tacking ensemble regression machine learning)

Redeemer大学的研究人员阐明了机器学习的研究(使用自动超参数调谐的S跟踪集成回归机器学习改进毫米波路径损耗估计)

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摘要

由机器人与机器学习每日新闻的新闻记者兼新闻编辑-研究人员详细介绍了人工智能的新数据。根据NewsRx Edi Tors在尼日利亚埃德的新闻报道,研究表明:“路径损耗预测是设计D操作无线通信系统的一个关键方面,特别是在毫米波(mmWaves)频带。然而,这些频带与气候相关的挑战有关:降雨衰减和自由空间路径损耗。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting out of Ede, Nigeria, by NewsRx edi tors, research stated, “Path loss prediction is a crucial aspect of designing an d operating wireless communication systems, especially in the millimetre-waves ( mmWaves) frequency bands. However, these bands are associated with climate-relat ed challenges: rain attenuation, and free space path loss.”

Key words

Redeemer's University/Ede/Nigeria/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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