Your browser doesn't support javascript.
loading
Transforming data to information: A parallel hybrid model for real-time state estimation in lignocellulosic ethanol fermentation.
Cabaneros Lopez, Pau; Udugama, Isuru A; Thomsen, Sune T; Roslander, Christian; Junicke, Helena; Iglesias, Miguel M; Gernaey, Krist V.
Affiliation
  • Cabaneros Lopez P; Department of Chemical and Biochemical Engineering, Process and Systems Engineering Center (PROSYS), Technical University of Denmark (DTU), Lyngby, Denmark.
  • Udugama IA; Department of Chemical and Biochemical Engineering, Process and Systems Engineering Center (PROSYS), Technical University of Denmark (DTU), Lyngby, Denmark.
  • Thomsen ST; Department of Geosciences and Natural Resource Management, University of Copenhagen, Frederiksberg, Denmark.
  • Roslander C; Department of Chemical Engineering, Lund University, Lund, Sweden.
  • Junicke H; Department of Chemical and Biochemical Engineering, Process and Systems Engineering Center (PROSYS), Technical University of Denmark (DTU), Lyngby, Denmark.
  • Iglesias MM; Department of Chemical Engineering, CRETUS Institute, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
  • Gernaey KV; Department of Chemical and Biochemical Engineering, Process and Systems Engineering Center (PROSYS), Technical University of Denmark (DTU), Lyngby, Denmark.
Biotechnol Bioeng ; 118(2): 579-591, 2021 02.
Article in En | MEDLINE | ID: mdl-33002188
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Saccharomyces cerevisiae / Ethanol / Lignin / Models, Biological Type of study: Prognostic_studies Language: En Journal: Biotechnol Bioeng Year: 2021 Document type: Article Affiliation country: Denmark Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Saccharomyces cerevisiae / Ethanol / Lignin / Models, Biological Type of study: Prognostic_studies Language: En Journal: Biotechnol Bioeng Year: 2021 Document type: Article Affiliation country: Denmark Country of publication: United States