首页|New Findings Reported from Northeastern University Describe Advances in Machine Learning (Prioritizing Environmental Attributes to Enhance Residents’ Satisfacti on in Post-Industrial Neighborhoods: An Application of Machine Learning-Augmente d ...)
New Findings Reported from Northeastern University Describe Advances in Machine Learning (Prioritizing Environmental Attributes to Enhance Residents’ Satisfacti on in Post-Industrial Neighborhoods: An Application of Machine Learning-Augmente d ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Shenyang, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Post-industrial neig hborhoods are valued for their historical and cultural significance but often co ntend with challenges such as physical deterioration, social instability, and cu ltural decay, which diminish residents’ satisfaction.” Funders for this research include National Natural Science Foundation of China. The news journalists obtained a quote from the research from Northeastern Univer sity: “Leveraging urban renewal as a catalyst, it is essential to boost resident s’ satisfaction by enhancing the environmental quality of these areas. This stud y, drawing on data from Shenyang, China, utilizes the combined strengths of grad ient boosting decision trees (GBDTs) and asymmetric impact-performance analysis (AIPA) to systematically identify and prioritize the built-environment attribute s that significantly enhance residents’ satisfaction. Our analysis identifies tw elve key attributes, strategically prioritized based on their asymmetric impacts on satisfaction and current performance levels. Heritage maintenance, property management, activities, and heritage publicity are marked as requiring immediate improvement, with heritage maintenance identified as the most urgent.”
Northeastern UniversityShenyangPeopl e’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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