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Head of the Research Department Marine Perception

Dr. Frederic Theodor Stahl

Organizational unit Marine Perception
Contact +49 441 99833 4713 (Oldenburg)

https://fredericstahl.wordpress.com/
Address (Oldenburg) Technologie- und Gründerzentrum OldenburgMarie-Curie-Str. 126129 Oldenburg

Publications

All publications

  1. Multi-Resolution Remote Sensing Dataset for the Detection of Anthropogenic Litter: A Multi-Platform and Multi-Sensor Approach

    Robert Rettig; Felix Becker; Alexander Berghoff; Tobias Binkele; Wolfram Michael Butter; Tilman Floehr; Martin Krumm; Carolin Leluschko; Florian Littau; Elmar Reinders; Eike Rodenbäck; Tobias Schmid; Sabine Schründer; Sören Schweigert; Michael Sinhuber; Jens Wellhausen; Frederic Theodor Stahl; Christoph Tholen

    In: Data (Data), Vol. 10, No. 7, Pages 1-10, MDPI, Basel, 7/2025.

  2. On The Optimisation Of Machine Learning Models For Predicting The Photosynthetically Available Radiation In The Water Column

    Frederic Theodor Stahl; Lars Nolle; Martin Maximilian Kumm; Christoph Tholen

    In: Marco Scarpa; Salvatore Cavalieri; Salvatore Serrano; Fabrizio De Vita (Hrsg.). Proceedings of the 39th ECMS International Conference on Modelling and Simulation ECMS 2025. International Conference on Modelling and Simulation (ECMS-2025), June 24-27, Catania, Italy, Pages 531-537, Communications of the ECMS, Vol. 39, No. 1, ISBN 978-3-937 436-86-9, ECMS, United Kingdom, 6/2025.

  3. ON THE LOCATION-INDEPENDENT RECONSTRUCTION OF PHOTOSYNTHETICALLY ACTIVE RADIATION IN THE WATER COLUMN USING NEURAL NETWORKS

    Martin Maximilian Kumm; Christoph Tholen; Lars Nolle; Frederic Theodor Stahl

    In: 39th ECMS International Conference on Modelling and Simulation ECMS 2025. International Conference on Modelling and Simulation (ECMS-2025), 39th ECMS International Conference on Modelling and Simulation ECMS 2025, June 24-27, Catania, Italy, Pages 538-544, Vol. 39, No. 1, ISBN ISBN 978-3-937 436-86-9, ECMS, United Kingdom, 6/2025.

Profile

  • Eco-Crossing

    Development, investigation and demonstration of an intelligent route-optimizing system to reduce the fuel consumption of ferries

    Eco-Crossing

    The key challenges in operational shipping are sustainable and optimal ship operation and the reduction of emissions. In international merchant shipping, weather routing is already being…

    Eco-Crossing

  • APLASTIC-Q Arktis

    Strandmüllmonitoring arktischer Küsten mittels fernerkundlicher Methoden und automatisierter Datenauswertung durch künstliche Intelligenz

    Beach litter is increasingly considered an important indicator of ocean pollution in international agreements.

    In the past, numerous methods have been developed to record beach litter. However, these…

  • XAI4SFAS

    Intelligentes Assistenzsystem für die teilautonome Schiffsführung

    Partners

    marinom GmbH

    Jade Hochschule Wilhelmshaven/Oldenburg/Elsfleth

     

  • HAI-x

    Hybrid AI explainer

    More and more industry, business and science applications employ multiple AI techniques and AI workflows to solve complex problems and automate as well as optimise complex processes and…

    HAI-x

  • iMagine

    Imaging data and services for aquatic science

    Aquatic research often relies on image and video data to gain knowledge about our oceans, lakes and rivers. Current challenges in this research area include analyzing human-caused littering or oil…

    iMagine
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