首页|Reports Summarize Machine Learning Study Results from Xiamen University (Underst anding Temporary Residential Mobility During Urban Renewal: Insights From a Stru ctured Community Survey and Machine Learning Analysis)
Reports Summarize Machine Learning Study Results from Xiamen University (Underst anding Temporary Residential Mobility During Urban Renewal: Insights From a Stru ctured Community Survey and Machine Learning Analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Xiamen, Peop le’s Republic of China, by NewsRx journalists, research stated, “Existing studie s on urban renewal have primarily focused on the final effects of urban redevelo pment, while often overlooked the social costs incurred during the temporary dis placement phase. This gap is significant, as many residents must vacate their ho mes for an average of 3-5 years during Shantytown redevelopment, which brings ab out challenges of renting houses and the associated negative impacts on their we ll-being before returning to their resettled homes.”
XiamenPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXiamen University
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