Abstract
Fresh data on Machine Learning are presented in a new report. According to news reporting originating from Maoming, People’s Republic of China, by NewsRx correspondents, research stated, “Modern data analysis methods, including machine learning (ML), have become essential instruments for uncovering concealed patterns and deducing correlations that conventional analytical techniques may encounter limitations in handling. This study provides a detailed introduction to a three-dimensional sensor array for hypochlorite and hydroxyl radical developed using machine learning methods, based on the sensitive differentiation of spectroscopic properties using a single fluorescent probe.” Funders for this research include National Natural Science Foundation of China (NSFC), Projects of Talents Recruitment of GDUPT, Guangdong Basic and Applied Basic Research Foundation.
NETL
NSTL
Elsevier