Towards Concept Change Detection in Marine Ecosystems

Lukats, D., Berghöfer, E., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Schneider, J., Pieck, D., Idrees, M., Nolle, L. and Zielinski, O. (2021) Towards Concept Change Detection in Marine Ecosystems. In: OCEANS Conference & Exposition, 20-23 SEPT 2021, San Diego - Porto.

Abstract/Summary

The research presented in this paper aims to accelerate the natural science research process by partially automating the execution of experiments using AI-assisted Concept-Change Detection (C-CD), e.g., for monitoring systems and studying biodiversity and ecosystem functions. The purpose of C-CD is to detect concept changes, also known as concept drift, that may be relevant to the study or ecosystem state. For example, in intertidal marine ecosystems, the event of sudden flooding can lead to dramatic changes in biodiversity. It could also be of scientific interest to take sensor samples more frequently in the period leading up to such events. The paper proposes an architecture for C-CD to customize AI-based analysis of sensor data streams. Furthermore, the paper implements portions of the architecture and is applied on sensor data from the Spiekeroog Coastal Observatory (SCO) as a feasibility study. The study demonstrates C-CD's ability to detect anomalies that are either of scientific or technical interest to the operation and exploration activities of SCO.

Item Type	Conference or Workshop Item (Paper)
URI	https://reading-clone.eprints-hosting.org/id/eprint/100389
Item Type	Conference or Workshop Item
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Download/View statistics	View download statistics for this item