Robotics & Machine Learning Daily News2024,Issue(Jul.4) :54-55.

Findings from Royal Melbourne Institute of Technology - RMIT University Provide New Insights into Machine Learning (Systematic Mapping of Global Research on Dis aster Damage Estimation for Buildings: A Machine Learning-Aided Study)

皇家墨尔本理工学院-RMIT大学的发现为机器学习提供了新的见解(建筑物损伤评估全球研究的系统地图:机器学习辅助研究)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :54-55.

Findings from Royal Melbourne Institute of Technology - RMIT University Provide New Insights into Machine Learning (Systematic Mapping of Global Research on Dis aster Damage Estimation for Buildings: A Machine Learning-Aided Study)

皇家墨尔本理工学院-RMIT大学的发现为机器学习提供了新的见解(建筑物损伤评估全球研究的系统地图:机器学习辅助研究)

扫码查看

摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-在一份新的报告中讨论了人工智能的研究结果。根据NewsRx记者在澳大利亚墨尔本的新闻报道,研究表明:“由于灾害事件数量的增加、风险评估的便利、抗灾措施的有效整合和政策的制定,建筑物灾害损失评估的研究得到了广泛的关注。已经进行了一项系统的地图研究,重点是灾害损失评估研究,以确定趋势、关系和政策制定。在这个巨大且呈指数级增长的主题领域中存在差距。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting from Melbourne , Australia, by NewsRx journalists, research stated, “Research on disaster damag e estimation for buildings has gained extensive attention due to the increased n umber of disastrous events, facilitating risk assessment, the effective integrat ion of disaster resilience measures, and policy development. A systematic mappin g study has been conducted, focusing on disaster damage estimation studies to id entify trends, relationships, and gaps in this large and exponentially growing s ubject area.”

Key words

Royal Melbourne Institute of Technology - RMIT University/Melbourne/Australia/Australia and New Zealand/Cyborgs/Eme rging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文