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ORCIDNorbert Kockmann
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2020 – today
- 2024
[j7]Bastian Oldach
, Philipp Wintermeyer, Norbert Kockmann:
Transfer of Periodic Phenomena in Multiphase Capillary Flows to a Quasi-Stationary Observation Using U-Net. Comput. 13(9): 230 (2024)- [j6]Alexander S. Behr, Hendrik Borgelt, Norbert Kockmann:
Reac4Cat-Ontology: Harnessing the Power of Ontological Description Logic in Catalysis Research as a Practical Approach to Knowledge Inferences. Datenbank-Spektrum 24(2): 139-150 (2024) - [j5]Alexander S. Behr, Hendrik Borgelt, Norbert Kockmann:
Ontologies4Cat: investigating the landscape of ontologies for catalysis research data management. J. Cheminformatics 16(1): 16 (2024) - 2023
- [j4]Lukás Korel, Uladzislau Yorsh, Alexander S. Behr, Norbert Kockmann, Martin Holena:
Text-to-Ontology Mapping via Natural Language Processing with Application to Search for Relevant Ontologies in Catalysis. Comput. 12(1): 14 (2023) - [j3]Alexander S. Behr, Marc Völkenrath, Norbert Kockmann:
Ontology extension with NLP-based concept extraction for domain experts in catalytic sciences. Knowl. Inf. Syst. 65(12): 5503-5522 (2023) - [c9]Alexander S. Behr, Elnaz Abbaspour, Katrin Rosenthal, Jürgen Pleiss, Norbert Kockmann:
Ontology-Based Laboratory Data Acquisition With EnzymeML for Process Simulation of Biocatalytic Reactors. CoRDI 2023 - [c8]Alexander S. Behr, Hendrik Borgelt, Taras Petrenko, Mark Dörr, Norbert Kockmann:
Investigating the Landscape of Ontologies for Catalysis Research Data Management. CoRDI 2023 - [c7]Lukás Korel, Alexander S. Behr, Norbert Kockmann, Martin Holena:
Using Paraphrasers to Detect Duplicities in Ontologies. KEOD 2023: 40-49 - [i1]Lukás Korel, Alexander S. Behr, Norbert Kockmann, Martin Holena:
Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts. CoRR abs/2309.09203 (2023) - 2022
- [j2]Omar S. Bayomie, Rafael F. L. de Cerqueira, Laura Neuendorf, Iwan Kornijez, Samuel Kieling, Tim H. Sandermann, Keno Lammers, Norbert Kockmann:
Detecting flooding state in extraction columns: Convolutional neural networks vs. a white-box approach for image-based soft sensor development. Comput. Chem. Eng. 164: 107904 (2022) - [j1]Jana Sonnenschein, Mario Hermes, Stefan Höving, Norbert Kockmann, Kerstin Wohlgemuth:
Population balance modeling of unstirred cooling crystallization on an integrated belt filter. Comput. Chem. Eng. 167: 108024 (2022) - [c6]Valentin Khaydarov, Laura Neuendorf, Tobias Kock, Norbert Kockmann, Leon Urbas:
MTPPy: Open-Source AI-friendly Modular Automation. ETFA 2022: 1-7 - [c5]Ines Aubel, Sebastian Zug, André Dietrich, Johannes Nau, Karsten Henke, Pierre Helbing, Detlef Streitferdt, Claudius Terkowsky, Konrad Boettcher, Tobias R. Ortelt, Marcel Schade, Norbert Kockmann, Tobias Haertel, Uwe Wilkesmann, Matthias Finck, Jan Haase, Franziska Herrmann, Louis Kobras, Bernhard Meussen, Marcus Soll, Daniel Versick:
Adaptable Digital Labs - Motivation and Vision of the CrossLab Project. GeCon 2022: 1-6 - [c4]Alexander S. Behr, Laura M. Neuendorf, Piriyanth Sakthithasan, Konrad E. R. Boettcher, Norbert Kockmann:
Process control using AI on a digital twin of an extraction column in VR. GeCon 2022: 1-6 - [c3]T. Aljoscha Frede, Stefan Höving, Konrad E. R. Boettcher, Ines Aubel, Norbert Kockmann:
Microcontroller-based Titration for Remote Lab. GeCon 2022: 1-7 - [c2]Uladzislau Yorsh, Alexander S. Behr, Norbert Kockmann, Martin Holena:
Text-to-Ontology Mapping via Natural Language Processing Models. ITAT 2022: 28-34 - [c1]Lukás Korel, Alexander S. Behr, Norbert Kockmann, Martin Holena:
Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts. ITAT 2022: 44-54
Coauthor Index
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