Recent Advances in Machine Learning for Electrochemical, Optical, and Gas Sensors
| dc.contributor.author | Materón, Elsa M. | |
| dc.contributor.author | Silva Benvenuto, Filipe S. R. | |
| dc.contributor.author | Ribas, Lucas C. [UNESP] | |
| dc.contributor.author | Joshi, Nirav | |
| dc.contributor.author | Bruno, Odemir Martinez | |
| dc.contributor.author | Carrilho, Emanuel | |
| dc.contributor.author | Oliveira, Osvaldo N. | |
| dc.contributor.institution | Universidade de São Paulo (USP) | |
| dc.contributor.institution | Instituto Nacional de Ciência e Tecnologia de Bioanalítica-INCTBio | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.date.accessioned | 2025-04-29T18:48:39Z | |
| dc.date.issued | 2023-01-01 | |
| dc.description.abstract | Machine learning is increasingly used in the analysis of distinct types of data for clinical diagnosis and monitoring the environment, particularly because of the large amounts of data generated in sensing and biosensing methods. In this chapter, we discuss the usage of machine learning for electrochemical sensors, with emphasis on colorimetric principles of detection. | en |
| dc.description.affiliation | Instituto de Química de São Carlos Universidade de São Paulo, SP | |
| dc.description.affiliation | Instituto Nacional de Ciência e Tecnologia de Bioanalítica-INCTBio, SP | |
| dc.description.affiliation | São Carlos Institute of Physics University of São Paulo, P.O Box 369, SP | |
| dc.description.affiliation | Institute of Biosciences Humanities and Exact Sciences São Paulo State University, SP | |
| dc.description.affiliation | Institute of Mathematics and Computer Science University of São Paulo, SP | |
| dc.description.affiliationUnesp | Institute of Biosciences Humanities and Exact Sciences São Paulo State University, SP | |
| dc.format.extent | 117-138 | |
| dc.identifier | http://dx.doi.org/10.1007/978-981-99-0393-1_6 | |
| dc.identifier.citation | Machine Learning for Advanced Functional Materials, p. 117-138. | |
| dc.identifier.doi | 10.1007/978-981-99-0393-1_6 | |
| dc.identifier.scopus | 2-s2.0-85171494884 | |
| dc.identifier.uri | https://hdl.handle.net/11449/300125 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Machine Learning for Advanced Functional Materials | |
| dc.source | Scopus | |
| dc.title | Recent Advances in Machine Learning for Electrochemical, Optical, and Gas Sensors | en |
| dc.type | Capítulo de livro | pt |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 89ad1363-6bb2-4b6e-b3b8-e6bce1db692b | |
| relation.isAuthorOfPublication.latestForDiscovery | 89ad1363-6bb2-4b6e-b3b8-e6bce1db692b | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Biociências, Letras e Ciências Exatas, São José do Rio Preto | pt |