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Explainable Deep Learning-Assisted Photochromic Sensor for ß-Lactam Antibiotic Identification.
Tan, Xiaoqing; Tang, Yongtao; Yang, Tingting; Dai, Guoliang; Ye, Changqing; Meng, Jianxin; Li, Fengyu.
Afiliación
  • Tan X; College of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and Applications, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China.
  • Tang Y; College of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and Applications, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China.
  • Yang T; College of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and Applications, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China.
  • Dai G; Research Center for Green Printing Nanophotonic Materials, Jiangsu Key Laboratory for Environmental Functional Materials, School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215009, China.
  • Ye C; Research Center for Green Printing Nanophotonic Materials, Jiangsu Key Laboratory for Environmental Functional Materials, School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215009, China.
  • Meng J; College of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and Applications, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China.
  • Li F; College of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and Applications, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China.
Anal Chem ; 95(6): 3309-3316, 2023 02 14.
Article en En | MEDLINE | ID: mdl-36716054
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Anal Chem Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Anal Chem Año: 2023 Tipo del documento: Article País de afiliación: China