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Vytautas Galvanauskas
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2020 – today
- 2023
- [j3]Deividas Masaitis
, Renaldas Urniezius
, Rimvydas Simutis, Vygandas Vaitkus, Mindaugas Matukaitis, Benas Kemesis, Vytautas Galvanauskas
, Benas Sinkevicius:
An Approach for the Estimation of Concentrations of Soluble Compounds in E. coli Bioprocesses. Entropy 25(9): 1302 (2023) - 2021
- [j2]Oskars Grigs
, Emils Bolmanis
, Vytautas Galvanauskas
:
Application of In-Situ and Soft-Sensors for Estimation of Recombinant P. pastoris GS115 Biomass Concentration: A Case Analysis of HBcAg (Mut+) and HBsAg (MutS) Production Processes under Varying Conditions. Sensors 21(4): 1268 (2021) - [c6]Mantas Butkus, Donatas Levisauskas, Vytautas Galvanauskas:
Investigation of Gain Scheduling Algorithm for Controller Adaptation in Microbial Cultivation Process Control Systems. CASE 2021: 1034-1039 - [c5]Vytautas Galvanauskas, Rimvydas Simutis, Donatas Levisauskas, Renaldas Urniezius, Tomas Tekorius, Vygandas Vaitkus:
Design and Adaptation of Robust Feeding Profiles for Recombinant E.coli Fed-batch Cultivation Processes. MED 2021: 532-537
2010 – 2019
- 2019
- [c4]Mantas Butkus, Vytautas Galvanauskas:
Mathematical model library for recombinant e.coli cultivation process. IVUS 2019: 9-12 - 2018
- [j1]Renaldas Urniezius
, Vytautas Galvanauskas, Arnas Survyla, Rimvydas Simutis, Donatas Levisauskas:
From Physics to Bioengineering: Microbial Cultivation Process Design and Feeding Rate Control Based on Relative Entropy Using Nuisance Time. Entropy 20(10): 779 (2018) - [c3]Vytautas Galvanauskas, Rimvydas Simutis, Donatas Levisauskas, Mantas Butkus, Renaldas Urniezius
:
Development and Investigation of Efficient Substrate Feeding and Dissolved Oxygen Control Algorithms for Design of Recombinant E. coli Cultivation Process. CASE 2018: 657-660 - 2012
- [c2]Martins Mednis
, Zintis Rove, Vytautas Galvanauskas:
ModeRator - a software tool for comparison of stoichiometric models. SACI 2012: 97-100
2000 – 2009
- 2006
- [c1]Vytautas Galvanauskas, Petia Georgieva, Sebastião Feyo de Azevedo:
Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model. IJCNN 2006: 2728-2735
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