Reports on Machine Learning from Concordia University Provide New Insights (Expl ainable Domain Adaptation for Imbalanced Occupancy Estimation)

康科迪亚大学关于机器学习的报告提供了新的见解（用于不平衡占用估计的可扩展域适应）

Robotics & Machine Learning Daily News2024，Issue(Nov.20) ：94-95.

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Reports on Machine Learning from Concordia University Provide New Insights (Expl ainable Domain Adaptation for Imbalanced Occupancy Estimation)

康科迪亚大学关于机器学习的报告提供了新的见解（用于不平衡占用估计的可扩展域适应）

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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。根据新闻报道由NewsRx记者从加拿大蒙特利尔发出的研究报告称，“最近出现的物联网和传感器或技术已经导致了许多工具的发展，以提高能源效率智能家居。准确的入住率估算是实现可持续能源管理和减少能源消耗的关键碳排放。

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 Montreal, Canada, by NewsRx correspondents, research stated, “The recent emergence ofIoT and sens or technology has led to the development of numerous tools for enhancing energy efficiency insmart homes. Accurate occupancy estimation is pivotal for sustaina ble energy management and reducingcarbon emissions.”

Key words

Montreal/Canada/North and Central Amer ica/Cyborgs/Emerging Technologies/Machine Learning/Concordia University

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出版年

2024

Robotics & Machine Learning Daily News

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