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maritime traffic and identifying species present in the ecosystem. In this context, particular emphasis will be placed on the collection, compression, and fusion of acoustic data acquired via DAS systems
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adapted for monitoring the state, performance and health of maritime equipment and systems, as well as for maritime traffic surveillance. The project will benefit from the anomaly detection research
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us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the
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well as for maritime traffic surveillance. The project will benefit from the anomaly detection research environment in the Norwegian Center for Knowledge‑driven Machine Learning (Integreat ) and the ongoing project