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Sensors (Basel, Switzerland)
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September 28, 2021
Machine Learning Analysis for Phenolic Compound Monitoring Using a Mobile Phone-Based ECL Sensor
Joseph Taylor, Elmer Ccopa-Rivera, Solomon Kim, et al.
Chemistryopen
|
August 25, 2020
Electrochemiluminescence Mechanisms Investigated with Smartphone-Based Sensor Data Modeling, Parameter Estimation and Sensitivity Analysis
Elmer Ccopa Rivera, Rodney L Summerscales, Padma P Tadi Uppala, et al.
Applied Biochemistry and Biotechnology
|
August 19, 2006
Ethyl alcohol production optimization by coupling genetic algorithm and multilayer perceptron neural network
Elmer Ccopa Rivera, Aline C da Costa, Maria Regina Wolf Maciel, et al.
Applied Biochemistry and Biotechnology
|
May 15, 2008
Hybrid neural network model of an industrial ethanol fermentation process considering the effect of temperature
Ivana C C Mantovanelli, Elmer Ccopa Rivera, Aline C da Costa, et al.
Applied Biochemistry and Biotechnology
|
April 18, 2008
Kinetic modeling and parameter estimation in a tower bioreactor for bioethanol production
Elmer Ccopa Rivera, Aline Carvalho da Costa, Betânia Hoss Lunelli, et al.
Applied Biochemistry and Biotechnology
|
April 18, 2008
Bioethanol production optimization: a thermodynamic analysis
Víctor H Alvarez, Elmer Ccopa Rivera, Aline C Costa, et al.
Applied Biochemistry and Biotechnology
|
May 15, 2008
Estimation of temperature dependent parameters of a batch alcoholic fermentation process
Rafael Ramos de Andrade, Elmer Ccopa Rivera, Aline C Costa, et al.
Bioprocess and Biosystems Engineering
|
January 7, 2009
Study of kinetic parameters in a mechanistic model for bioethanol production through a screening technique and optimization
Rafael Ramos de Andrade, Elmer Ccopa Rivera, Daniel I P Atala, et al.
Sensors (Basel, Switzerland)
|
January 26, 2020
Data-Driven Modeling of Smartphone-Based Electrochemiluminescence Sensor Data Using Artificial Intelligence
Elmer Ccopa Rivera, Jonathan J Swerdlow, Rodney L Summerscales, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Sensors (Basel, Switzerland)
|
September 28, 2021
Machine Learning Analysis for Phenolic Compound Monitoring Using a Mobile Phone-Based ECL Sensor
Joseph Taylor, Elmer Ccopa-Rivera, Solomon Kim, et al.
Chemistryopen
|
August 25, 2020
Electrochemiluminescence Mechanisms Investigated with Smartphone-Based Sensor Data Modeling, Parameter Estimation and Sensitivity Analysis
Elmer Ccopa Rivera, Rodney L Summerscales, Padma P Tadi Uppala, et al.
Applied Biochemistry and Biotechnology
|
August 19, 2006
Ethyl alcohol production optimization by coupling genetic algorithm and multilayer perceptron neural network
Elmer Ccopa Rivera, Aline C da Costa, Maria Regina Wolf Maciel, et al.
Applied Biochemistry and Biotechnology
|
May 15, 2008
Hybrid neural network model of an industrial ethanol fermentation process considering the effect of temperature
Ivana C C Mantovanelli, Elmer Ccopa Rivera, Aline C da Costa, et al.
Applied Biochemistry and Biotechnology
|
April 18, 2008
Kinetic modeling and parameter estimation in a tower bioreactor for bioethanol production
Elmer Ccopa Rivera, Aline Carvalho da Costa, Betânia Hoss Lunelli, et al.
Applied Biochemistry and Biotechnology
|
April 18, 2008
Bioethanol production optimization: a thermodynamic analysis
Víctor H Alvarez, Elmer Ccopa Rivera, Aline C Costa, et al.
Applied Biochemistry and Biotechnology
|
May 15, 2008
Estimation of temperature dependent parameters of a batch alcoholic fermentation process
Rafael Ramos de Andrade, Elmer Ccopa Rivera, Aline C Costa, et al.
Bioprocess and Biosystems Engineering
|
January 7, 2009
Study of kinetic parameters in a mechanistic model for bioethanol production through a screening technique and optimization
Rafael Ramos de Andrade, Elmer Ccopa Rivera, Daniel I P Atala, et al.
Sensors (Basel, Switzerland)
|
January 26, 2020
Data-Driven Modeling of Smartphone-Based Electrochemiluminescence Sensor Data Using Artificial Intelligence
Elmer Ccopa Rivera, Jonathan J Swerdlow, Rodney L Summerscales, et al.
Page
of 1