A multi-component heavy metal detection method using UV-Vis superimposed spectrum and deep learning
Hailong Zhang(Laoshan Laboratory), Baoxin Zhai(Northwest University), Chi Zhou(Tongji University), Duo Yun(Ministry of Education of the People's Republic of China), Jianchao Lee(Shaanxi Normal University), Lei Huang(China University of Petroleum, Beijing), Lehan Sun(Northwest University), Qiannan Duan(Northwest University), Xiaodan Zhang(Fujian Agriculture and Forestry University), Peng Wang(Singapore University of Technology and Design), Liang Yan(Ningbo University of Technology), Xiang Tang(Hunan University), Weidong Wu(Guangdong Province Environmental Monitoring Center), Hongfang Zhang(Suzhou University of Science and Technology), Zhongming Guo(Northwest University)
Cited by 2
Related Papers
The pineapple genome and the evolution of CAM photosynthesis
|Nature Genetics|2015|757
Autotoxic Ginsenosides in the Rhizosphere Contribute to the Replant Failure of Panax notoginseng
|PLoS ONE|2015|180
Highly active, ultra-low loading single-atom iron catalysts for catalytic transfer hydrogenation
|Nature Communications|2023|122
Model-based understanding of single-cell CRISPR screening
|Nature Communications|2019|107