Studies from Chengde Medical University Update Current Data on Machine Learning (Machine Learning-driven Ag/sio 2 /cu/rice Leaf Sers Platform for Intelligent Identification of Pharmacodynamic Substances)
Studies from Chengde Medical University Update Current Data on Machine Learning (Machine Learning-driven Ag/sio 2 /cu/rice Leaf Sers Platform for Intelligent Identification of Pharmacodynamic Substances)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Hebei, People’s Repub lic of China, by NewsRx editors, research stated, “The combination of surface-en hanced Raman scattering (SERS) and machine learning algorithm provides an effect ive means for the identification of pharmacodynamic substances. This paper repor ted a biomimetic synthesis route of Ag-30/SiO 2 -4/Cu-20/rice leaf (Ag-30/SiO 2 -4/Cu-20/RL) SERS platform with multiple synergistic electromagnetic enhanced pe rformance.”
Key words
Hebei/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Chengde Medical University
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