首页|Beijing Academy of Agriculture and Forestry Sciences Reports Findings in Machine Learning (Identification and visualization of environmental microplastics by Raman imaging based on hyperspectral unmixing coupled machine learning)
Beijing Academy of Agriculture and Forestry Sciences Reports Findings in Machine Learning (Identification and visualization of environmental microplastics by Raman imaging based on hyperspectral unmixing coupled machine learning)
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
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is the subject of a report. According to news reportingout of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Microplastics (MPs)are ubiquitous contaminants that have become an emerging pollutant of concern, potentially threateninghuman health and ecosystem environments. Although current detection methods can accurately identify various types of MPs, it remains necessary to develop non-destructive and rapid methods to meet growingdemands for detection.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
