首页|Findings on Machine Learning Reported by Investigators at Guangdong University of Petrochemical Technology (Machine Learning-assisted Sensing Array for Simultaneous Discrimination of Hypochlorite and Hydroxyl Radicals)
Findings on Machine Learning Reported by Investigators at Guangdong University of Petrochemical Technology (Machine Learning-assisted Sensing Array for Simultaneous Discrimination of Hypochlorite and Hydroxyl Radicals)
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NETL
NSTL
Elsevier
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.
MaomingPeople’s Republic of ChinaAsiaCyborgsElectrolytesEmerging TechnologiesHydroxidesHydroxyl RadicalInorganic ChemicalsIonsMachine LearningReactive Oxygen SpeciesGuangdong University of Petrochemical Technology
NETL
NSTL
Elsevier
