首页|New Findings from Southeast University in the Area of Machine Learning Reported (Investigating the Dynamicity of Sentiment Pre- dictors In Urban Green Spaces: a Machine Learning-based Ap- proach)
New Findings from Southeast University in the Area of Machine Learning Reported (Investigating the Dynamicity of Sentiment Pre- dictors In Urban Green Spaces: a Machine Learning-based Ap- proach)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Elsevier
2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting origi- nating from Jiangsu, People’s Republic of China, by NewsRx correspondents, research stated, “Urban green spaces (UGSs) are known to promote psychological restoration. However, most traditional studies measure this effect statically using preset assumptions or scenarios, and tend to neglect factors’ varied effect under different conditions.” Funders for this research include National Natural Science Foundation of China (NSFC), Science and Technology Projects of Ministry of Housing and Urban-Rural Development of China.
JiangsuPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSoutheast University
NETL
NSTL
Elsevier
