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Adriana N. Amicarelli
Adriana N. Amicarelli
Dra. en Ingeniería de Sistemas de Control
Verified email at inaut.unsj.edu.ar
Title
Cited by
Cited by
Year
Biomass estimation in batch biotechnological processes by Bayesian Gaussian process regression
F di Sciascio, AN Amicarelli
Computers & Chemical Engineering 32 (12), 3264-3273, 2008
882008
Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
A Amicarelli, F Di Sciascio, JM Toibero, H Alvarez
Brazilian Journal of Chemical Engineering 27, 41-62, 2010
362010
Control based on numerical methods and recursive Bayesian estimation in a continuous alcoholic fermentation process.
OL Quintero, AA Amicarelli, G Scaglia, F di Sciascio
BioResources 4 (4), 2009
262009
Nonlinear control of the dissolved oxygen concentration integrated with a biomass estimator for production of Bacillus thuringiensis δ-endotoxins
S Rómoli, AN Amicarelli, OA Ortiz, GJE Scaglia, F di Sciascio
Computers & Chemical Engineering 93, 13-24, 2016
192016
Behavior comparison for biomass observers in batch processes
A Amicarelli, O Quintero, F Di Sciascio
Asia‐Pacific Journal of Chemical Engineering 9 (1), 81-92, 2014
172014
State estimation in alcoholic continuous fermentation of zymomonas mobilis using recursive bayesian filtering: A simulation approach
OL Quintero, AA Amicarelli, F di Sciascio, G Scaglia
Bioresources 3 (2), 316-334, 2008
132008
Evolutionary algorithms and orthogonal basis for dynamic optimization in L2 space for batch biodiesel production
MN Pantano, MC Fernández, A Amicarelli, GJE Scaglia
Chemical Engineering Research and Design 177, 354-364, 2022
112022
Iterated conditional modes to solve simultaneous localization and mapping in Markov random fields context
J Gimenez, A Amicarelli, JM Toibero, F di Sciascio, R Carelli
International Journal of Automation and Computing 15 (3), 310-324, 2018
112018
El rol de los modelos en el diseño de equipos de procesos y sistemas de control
L Gómez, A Amicarelli, H Alvarez, F Di Sciascio
VI Congreso Nacional de la Asociación Colombiana de Automática, ACA 2004, 1-3, 2004
102004
Semi physical growth model of Lobesia botrana under laboratory conditions for Argentina’s Cuyo region
E Aguirre-Zapata, H Morales, CV Dagatti, F Di Sciascio, AN Amicarelli
Ecological Modelling 464, 109803, 2022
92022
Estimation of supersaturation in the crystallization process of the sugar industry
H Morales, F Di Sciascio, A Amicarelli
2018 Argentine Conference on Automatic Control (AADECA), 1-6, 2018
92018
Estimación de Biomasa en un proceso Batch: Aplicación a la producción de-endotoxinas de Bt
A Amicarelli, F di Sciascio, H Álvarez, O Ortiz
XXII Interamerican congress of chemical engineering, 2006
92006
Including dissolved oxygen dynamics to the Bacillus thuringiensis-endotoxins production process
A Amicarelli, F Di Sciascio, H Álvarez
Brazilian Journal of Chemical Engineering 27 (01), 41-62, 2010
72010
Parametric interpretability of growth kinetics equations in a process model for the life cycle of Lobesia botrana
E Aguirre-Zapata, H Alvarez, CV Dagatti, F di Sciascio, AN Amicarelli
Ecological Modelling 482, 110407, 2023
62023
Fermentation monitoring by Bayesian states estimators. Application to red wines elaboration
C Fernández, N Pantano, F Rossomando, A Amicarelli, G Scaglia
Control Engineering Practice 103, 104608, 2020
62020
Understanding Interpretability in Modeling Biotechnological Processes: A Critical Review
E Aguirre-Zapata, H Alvarez, L Lema-Perez, F Di Sciascio, A Amicarelli
2023 XX Workshop on Information Processing and Control (RPIC), 1-7, 2023
52023
A model-based supersaturation estimator (inferential or soft-sensor) for industrial sugar crystallization process
H Morales, F di Sciascio, E Aguirre-Zapata, AN Amicarelli
Journal of Process Control 129, 103065, 2023
52023
Continuous probabilistic SLAM solved via iterated conditional modes
J Gimenez, A Amicarelli, JM Toibero, F di Sciascio, R Carelli
International Journal of Automation and Computing 16 (6), 838-850, 2019
52019
Control engineering perspective of fermentation process from zymomonas mobilis: Modeling, state estimation and control
O Quintero, J Nieto, A Amicarelli, G Scaglia, T Luna
52009
Recursive Bayesian filtering for states estimation: An application case in biotechnological processes
O Quintero, A Amicarelli, F di Sciascio
MCMSki (3rd IMS-ISBA) meeting in Bormio, 9-11, 2008
52008
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Articles 1–20