首页|Investigators at Tianjin University Report Findings in Machine Learning (An Inve stigation Using Resampling Techniques and Explainable Machine Learning To Minimi ze Fire Losses In Residential Buildings)

Investigators at Tianjin University Report Findings in Machine Learning (An Inve stigation Using Resampling Techniques and Explainable Machine Learning To Minimi ze Fire Losses In Residential Buildings)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting from Tianjin, People’ s Republic of China, by NewsRx journalists, research stated, “Urban residential fires seriously threaten public safety, causing significant property damage and severely impacting urban sustainability. To enhance the understanding of urban r esidential fire risks, a framework that combines tree-based machine learning alg orithms and resampling techniques is proposed to predict damage and casualties i n residential building fires.”

TianjinPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningTianjin University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.22)