Biosensors: Recent advances and mathematical challenges
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Modelling the influence of pH and Temperature on the response of an acetylcholinesterase biosensor using Machine Learning Methods

2014 ◽  
pp. 185-202
Author(s):  
Felix F. Gonzalez-Navarro ◽  
Edwin R. Garcia Curiel ◽  
Larysa Burtseva ◽  
Margarita Stoytcheva ◽  
Ana S. Estrella Sato
Keyword(s):  
Machine Learning ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Influence Of Ph

Automatic monitoring of pollutants based on biosensors coupled with artificial intelligence

2014 ◽  
pp. 143-161 ◽  
Author(s):  
Rocío B. Domínguez Cruz ◽  
Gustavo A. Alonso ◽  
Roberto Muñoz ◽  
Jean-Louis Marty
Keyword(s):  
Artificial Intelligence ◽  
Automatic Monitoring

Whole cell biosensors

2014 ◽  
pp. 51-96 ◽  
Author(s):  
Cesar Augusto Hernandez Espitia ◽  
Johann F. Osma
Keyword(s):  
Whole Cell

Modeling a second-generation glucose oxidase biosensor with statistical machine learning methods

2014 ◽  
pp. 163-183
Author(s):  
Livier Renteria-Gutierrez ◽  
Lluis A. Belanche-Muñoz ◽  
Felix F. Gonzalez-Navarro ◽  
Margarita Stoytcheva
Keyword(s):  
Machine Learning ◽  
Glucose Oxidase ◽  
Second Generation ◽  
Statistical Machine Learning ◽  
Learning Methods ◽  
Machine Learning Methods

Phenolic compounds determination by enzymatic-based electrochemical biosensors

2014 ◽  
pp. 111-127 ◽  
Author(s):  
Juan Camilo González Rivera ◽  
Jorge Enrique Preciado ◽  
Johann F. Osma
Keyword(s):  
Phenolic Compounds ◽  
Electrochemical Biosensors
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