Works by Elmer Ccopa Rivera
Results: 11
Resolving mismatches in the flexible production of ethanol and butanol from eucalyptus wood with vacuum fermentation.
- Published in:
- Bioprocess & Biosystems Engineering, 2018, v. 41, n. 11, p. 1651, doi. 10.1007/s00449-018-1990-4
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- Article
Electrochemiluminescence Mechanisms Investigated with Smartphone‐Based Sensor Data Modeling, Parameter Estimation and Sensitivity Analysis.
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- ChemistryOpen, 2020, v. 9, n. 8, p. 854, doi. 10.1002/open.202000165
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- Article
Challenges to Levulinic Acid and Humins Valuation in the Sugarcane Bagasse Biorefinery Concept.
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- BioEnergy Research, 2020, v. 13, n. 3, p. 757, doi. 10.1007/s12155-020-10124-9
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- Article
Kinetic Modeling and Parameter Estimation in a Tower Bioreactor for Bioethanol Production.
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- Applied Biochemistry & Biotechnology, 2008, v. 148, n. 1-3, p. 163, doi. 10.1007/s12010-007-8062-6
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- Article
Estimation of temperature dependent parameters of a batch alcoholic fermentation process.
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- Applied Biochemistry & Biotechnology, 2007, v. 137, n. 1-12, p. 753, doi. 10.1007/s12010-007-9095-6
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- Article
A Thresholding Method Based on an Information Theoretical Approach to Distinguishing Stellar Flares.
- Published in:
- Michigan Academician, 2021, v. 48, n. 1, p. 99
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- Article
Soft Sensor for Ethanol Fermentation Monitoring through Data-Driven Modeling and Synthetic Data Generation †.
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- 2024
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- Abstract
Prediction of overall glucose yield in hydrolysis of pretreated sugarcane bagasse using a single artificial neural network: good insight for process development.
- Published in:
- Journal of Chemical Technology & Biotechnology, 2018, v. 93, n. 4, p. 1031, doi. 10.1002/jctb.5456
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- Article
Kinetic insights into the lignocellulosic biomass-based levulinic acid production by a mechanistic model.
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- Cellulose, 2020, v. 27, n. 10, p. 5641, doi. 10.1007/s10570-020-03183-w
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- Article
Machine Learning Analysis for Phenolic Compound Monitoring Using a Mobile Phone-Based ECL Sensor.
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- Sensors (14248220), 2021, v. 21, n. 18, p. 6004, doi. 10.3390/s21186004
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- Publication type:
- Article
Data-Driven Modeling of Smartphone-Based Electrochemiluminescence Sensor Data Using Artificial Intelligence.
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- Sensors (14248220), 2020, v. 20, n. 3, p. 625, doi. 10.3390/s20030625
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- Publication type:
- Article