首页|Researchers from Tsinghua University Describe Findings in Machine Learning (Enha ncing Infrastructural Dynamic Responses To Critical Residents’ Needs for Urban R esilience Through Machine Learning and Hypernetwork Analysis)
Researchers from Tsinghua University Describe Findings in Machine Learning (Enha ncing Infrastructural Dynamic Responses To Critical Residents’ Needs for Urban R esilience Through Machine Learning and Hypernetwork Analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According to newsreporting out of Beijing, Peopl e’s Republic of China, by NewsRx editors, research stated, “The increasingfrequ ency of extreme weather events poses ever greater challenges to urban resilience and residents’ qualityof life. Despite a growing trend advocating for an anthr opocentric approach to urban resilience, thereremains an inadequate understandi ng of the evolving hierarchical needs of residents during post-disasterperiods, especially considering the interplay with infrastructure service restoration.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTsinghua University
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