首页|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)

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)

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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.”

Royal Melbourne Institute of Technology - RMIT UniversityMelbourneAustraliaAustralia and New ZealandCyborgsEme rging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.4)