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Dr. rer. nat. Christoph Tholen

Organizational unit Marine Perception
Contact +49 441 99833 4721 (Oldenburg)

Address (Oldenburg) Technologie- und Gründerzentrum OldenburgMarie-Curie-Str. 1D-26129 Oldenburg

Publications

Model Generalisation for Predicting the Amount of Photosynthetically Available Radiation in the Water Column from Freefall Profiler Observations

Christoph Tholen; Lars Nolle; Jochen Wollschläger; Frederic Theodor Stahl

In: ECMS 2024, 38th Proceedings. International Conference on Modelling and Simulation (ECMS-2024), June 4-7, Crakow, Poland, Pages 1-6, ISBN 978-3-937436-84-5, ECMS, United Kingdom, 6/2024.

To the publication

On the performance evaluation of synchronous and asynchronous parallel particle swarm optimisation

Christoph Tholen; Lars Nolle

In: ECMS 2024, 38th Proceedings. International Conference on Modelling and Simulation (ECMS-2024), June 4-7, Crakow, Poland, Pages 1-7, ISBN 978-3-937436-84-5, ECMS, 6/2024.

To the publication

Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review

Carolin Leluschko; Christoph Tholen

In: Artificial Intelligence XL - 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Proceedings. SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2023), December 12-14, Campbridge, United Kingdom, Lecture Notes in Computer Science (LNCS), Vol. 14381, Springer Nature Switzerland AG, Cham, 12/2023.

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All publications

Profile

  • XAI4SFAS

    Intelligentes Assistenzsystem für die teilautonome Schiffsführung

    Partners

    marinom GmbH

    Jade Hochschule Wilhelmshaven/Oldenburg/Elsfleth

     

  • 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

  • APLASTIC-Q-Canada

    Machine Learning identification of pollutants and other debris in Canadian Waterways

    The project deals with the further development of AI methods for the detection and analysis of litter in rivers and canals. Stationary camera systems are used, which enable long-term monitoring of the…

    APLASTIC-Q-Canada

  • PlasticObs_plus

    Verbund - KI: PlasticObs_plus - Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen

    Airborne monitoring for plastic litter detection represents a modern, universal observation method to address the urgent and rapidly increasing problem of plastic litter pollution on a global scale…

    PlasticObs_plus

  • MATE

    Maritime Traffic Emissions: A monitoring network

    Maritime ship traffic is globally increasing with 90% of the world trade being carried over the ocean. The emissions of the maritime traffic are a severe threat to the marine environment and coastal…

    MATE