Konzeption Implementierung Evaluation Vorwissen Vorlesung Künstliche Intelligenz (BSc.) Vorlesung Data Science (BSc., optional) Vorlesung Grundlagen des maschinellen Lernens (MSc., optional) Vorlesung Artificial [...] Konzeption Prototypische Implementierung Vorwissen Vorlesung Künstliche Intelligenz (BSc.) Vorlesung Data Science (BSc., optional) Vorlesung Grundlagen des maschinellen Lernens (MSc., optional) Vorlesung Artificial [...] nach Dokumenten und Teilstrukturen im Dokument-Graphen. PArADISE : In diesem Projekt wird eine Big-Data-Analytics-Umgebung aufgebaut. Dabei werden wir die Parallelisierung der Analyse großer Datenmengen

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auf der Annual Data Systems in Aerospace (DASIA) Conference angenommen Das Paper mit dem Titel "Time-Sensitive Network-Centric Data Handling System Architecture" wurde auf der Annual Data Systems in Aerospace [...] Modular… weiterlesen 04.03.2024 Beitrag in den Transactions of Maritime Science angenommen In den Transactions of Maritime Science (ToMS) wurde ein Beitrag angenommen. Der Artikel mit dem Titel "Integrated [...] Softwarization Software-defined networking (SDN), network function virtualization (NFV), and programmable data planes (such as P4) are summarized as network… weiterlesen 04.12.2024 Ernennung von PD Dr.-Ing. habil

https://www.informatik.uni-rostock.de/lehrstuehle/lehrstuhlunabhaengig/prof-dr-ing-habil-peter-danielis/startseite/

spectral data. J. Chemom. 31, e2954 (2017), DOI: 10.1002/cem.2954. M. Sawall, A. Jürß, H. Schröder, K. Neymeyr, Simultaneous construction of dual Borgen plots. I: The case of noise-free data. J. Chemom [...] solutions for two-, three- and four-component systems. Book contribution in volume 30 of Data Handling in Science and Technology, "Resolving Spectral Mixtures", Chapter 5, pages 135-184, Ed. Cyril Ruckebusch [...] Mostafapour, A. Börner, R. Franke, K. Neymeyr, Reaction rate ambiguities for perturbed spectroscopic data: Theory and implementation. Accepted for Analytica Chimica Acta 2020. H. Lange, H. Schröder, E. Oberem

https://www.numerik.mathematik.uni-rostock.de/schroeder/

spectral data. J. Chemom. 31, e2954 (2017), DOI: 10.1002/cem.2954. M. Sawall, A. Jürß, H. Schröder, K. Neymeyr, Simultaneous construction of dual Borgen plots. I: The case of noise-free data. J. Chemom [...] solutions for two-, three- and four-component systems. Book contribution in volume 30 of Data Handling in Science and Technology, "Resolving Spectral Mixtures", Chapter 5, pages 135-184, Ed. Cyril Ruckebusch [...] Mostafapour, A. Börner, R. Franke, K. Neymeyr, Reaction rate ambiguities for perturbed spectroscopic data: Theory and implementation. Accepted for Analytica Chimica Acta 2020. H. Lange, H. Schröder, E. Oberem

https://www.mathematik.uni-rostock.de/unser-institut/mitarbeitende/schroeder/

Methods in Computer Science, University of Zurich 1994 Temporary position as Associate Professor, University of Mannheim 1995 Habilitation (venia legendi, lecturership) in Computer Science, University of Zurich [...] Germany. Curriculum Vitae 1965 Born in Innsbruck, Austria 1982 – 1988 Studies of Mathematics, Computer Science and Physics, University of Innsbruck, Austria 1984 – 1987 Positions as teaching and research assistant [...] The teaching portfolio of Clemens Cap presently consists of Computer Networking (Entry level course) Data Security (Entry level course) Architecture, specification and implementation of network and communication

https://iuk.uni-rostock.de/mitarbeiter/prof-dr-rernat-clemens-h-cap/

Internal Blade Cooling Flow and Computational Fluid Dynamic Validation by Data Matching With the Experimental Data Journal of Thermal Science and Engineering Applications , 15 (9), 2023, doi:10.1115/1.4062556 [...] S.; Brede, M.; Grundmann, S.; Bruschewski, M. CFD validation using in-vitro MRI velocity data – methods for data matching and CFD error quantification In: Computers in Biology and Medicine (131), 2021, [...] Wüstenhagen, C.; Domnick, C.; Grundmann, S.; Bruschewski, M. 3D Data Matching of Rans Results with Experimental Magnetic Resonance Velocity Data to Validate and Identify the Optimal Turbulence Model for the

https://www.lsm.uni-rostock.de/lehrstuhl/team/wissenschaftliche-mitarbeiterinnen/dr-ing-martin-bruschewski/

python script, Jupyter notebook, or R script. Your file has to load the data file, describe your ideas while analysing the data, and finally show a description as well as a plot of the three sub-signals [...] familiar with working on a linux command line, also remotely via ssh You need a login at the computer science department You should have passed at least some of the AI-focused lectures offered by the MMIS group [...] provided as true labels from the dataset. Use only a small balanced subset of the labelled training data to train the classification head. The pre-trained encoder should help to create better classification

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Sanjeev Khanna and Wang-Chiew Tan; Data Provenance: Some Basic Issues , In: Proceedings of the FST TCS 2000: Foundations of Software Technology and Theoretical Computer Science, Springer, 2000 Andreas Heuer; [...] Jürgensmann, Susanne Feistel; Daten wie Sand am Meer - Datenerhebung, -strukturierung, -management und Data Provenance für die Ostseeforschung . Datenbank-Spektrum 17(2): 183-196 (2017) Ilvio Bruder, Andreas

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