Peer review research

The articles:

– Garcia, P.; Larriche, I.; Pesnec, A.; Bull, H.; Archambault, T.; Moschos, E.; Stegner, A.; Charnetonis, A.; Bereziat, D. ORCAst: Operational High-Resolution Current Forecast. Submitted to Artificial Intelligence for the Earth Systems 2025,

– Kugusheva, A.; Bull, H.; Moschos, E.; Ioannou, A.; Le Vu, B.; Stegner, A. Ocean Satellite Data Fusion for High-Resolution Surface Current Maps. Remote Sens. 2024,

– Moschos, E.; Ioannou, A.; Dupont, A.; Stegner, A.;Towards Optimal Ocean Routing: Leveraging Vessel Data for Ocean Current Reliability. HullPIC 2024 conference proceeding, Tullamore, 2024.

– Moschos, E., Kugusheva, A., Coste, P., & Stegner, A. (2023). Computer Vision for Ocean Eddy Detection in Infrared Imagery. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 6395-6404).

– Moschos, E., Stegner, A., Le Vu, B., & Schwander, O. (2022). Real-Time Validation of Operational Ocean Models Via Eddy-Decting Deep Neural Networks. In IGARSS 2022-IEEE International Geoscience and Remote Sensing Symposium

– A. Dupont, N.Le Paih, E. Moschos, A.Stegner (Amphitrite), K.Abel-Michaux, M. Avoustin (Genavir). The Use of Ship Navigation Data to Validate and Boost the Accuracy of AI Data-Driven Oceanic Models, proceeding HullPIC 2025, Mulheim, Germany.