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1. IADS
2. Institute
3. Team
4. Details
5. Ehemalige wissenschaftliche Mitarbeiterinnen und Mitarbei
Isabel Testroet

Former employee (until 2018) Isabel Testroet isabel.testroet tu-dortmund de …
1. IADS
2. Institute
3. Team
4. Details
5. Ehemalige wissenschaftliche Mitarbeiterinnen und Mitarbei
Melanie Radhoff

Former employee (until 2018) Melanie Radhoff melanie.radhoff tu-dortmund de …
1. IADS
2. Institute
3. Team
4. Details
5. Ehemalige wissenschaftliche Mitarbeiterinnen und Mitarbei
Sarah Wieckert

Former employee (until 2018) Sarah Wieckert sarah.wieckert tu-dortmund de …
1. Pattern Recognition
2. Abschlussarbeiten
3. Bisherige Abschlussarbeiten
PhD Theses

convolutional neural networks for word spotting (2018) René Grzeszick Partially supervised learning of models for visual scene and object recognitions (2018) Axel Plinge Acoustic sensor network geometry …
1. TU Dortmund
2. University
Prof. Yannis P. Korkolis

Athens, Greece © IUL Stages: 2019-2023: Associate Professor, Ohio State University in Columbus Since 2018: Visiting Researcher at the Institute of Global Innovation Research, Tokyo University of Agriculture [...] Japan 2012: Visiting Assistant Professor, Tokyo University of Agriculture and Technology, Japan 2009-2018: Associate and Assistant Professor, University of New Hampshire, USA 2005-2009: Instructor, University …
1. KTH
2. Institute
3. Staff
Philipp Graf

Freiburg from 2013 to 2018, including a theological academic year (“Theologisches Studienjahr”) at Dormition Abbey in Jerusalem. He is a research assistant at TU Dortmund since 2018. Teaching and research …
1. TU Dortmund
2. University
Prof. Sascha Pöhlmann

Literature and Culture, University of Innsbruck 2018-2021: Substitute Professor of North American Literature and Culture, University of Konstanz 2014-2018: Academic Council, American Literary History, LMU …
1. dbis
2. Publications
3. 2018
Accelerating Concurrent Workloads

Alexander Böhm Published Proc. of the 34th Int'l Conference on Data Engineering (ICDE 2018), Paris, France, April 2018. Download PDF Abstract Modern microprocessors include a sophisticated hierarchy of caches …
1. CNI
2. News: 8/30/2018
Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks

In 2018 IEEE 88th IEEE Vehicular Technology Conference (VTC-Fall) , Chicago, USA, August 2018. Abstract: While cars were only considered as means of personal transportation for a long time, they are currently …
1. CNI
2. News: 6/8/2018
Improving the Robustness of Control-Grade Ultra-Wideband Localization

3rd IFAC Conference on Embedded Systems, Computer Intelligence and Telematics (CESCIT 2018) , Faro, Portugal, June 2018. Abstract: Ultra-wideband based localization technologies gained more and more attention …

Young Researchers Colloquium | Dortmund - Center for Data Science and Simulation

CoachingPLUS: Individuelles Coaching-Angebot für die Junior Faculty

Research Colloquium in Linguistics

Postdoc Impuls: Gremienarbeit – Pflicht oder Kür für den wissenschaftlichen Lebenslauf?

DocNet: „Und wie macht ihr das?“ - Kollegiale Beratung für Promovierende

Open Science Framework - Ein Hands-On Workshop

Young Researchers Colloquium | Dortmund - Center for Data Science and Simulation

CoachingPLUS: Individuelles Coaching-Angebot für die Junior Faculty

Research Colloquium in Linguistics

Postdoc Impuls: Gremienarbeit – Pflicht oder Kür für den wissenschaftlichen Lebenslauf?

DocNet: „Und wie macht ihr das?“ - Kollegiale Beratung für Promovierende

Open Science Framework - Ein Hands-On Workshop

Isabel Testroet

Melanie Radhoff

Sarah Wieckert

PhD Theses

Prof. Yannis P. Korkolis

Philipp Graf

Prof. Sascha Pöhlmann

Accelerating Concurrent Workloads

Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks

Improving the Robustness of Control-Grade Ultra-Wideband Localization

Filter search results

Isabel Testroet

Melanie Radhoff

Sarah Wieckert

PhD Theses

Prof. Yannis P. Korkolis

Philipp Graf

Prof. Sascha Pöhlmann

Accelerating Concurrent Workloads

Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks

Improving the Robustness of Control-Grade Ultra-Wideband Localization