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Session: | P12-2 Artificial Intelligence in Ocean Science and Technology 2 (Virtual) |
Co-Chair(s): | Bilal Wehbe |
Day: | Tuesday, September 21, 2021 |
Time: | 1:30 PM - 2:50 PM local Porto time zone (GMT+1) |
Room: | Virtual Room 3 |
PAPERS |
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Presenting Author: |
Navya Prakash, DFKI |
Paper Title: | Intelligent Marine Pollution Analysis on Spectral Data |
Author(s): |
Navya Prakash, DFKI Frederic Stahl, DFKI Charles Mueller, DFKI Oliver Ferdinand, DFKI Oliver Zielinski, DFKI |
Presenting Author: |
Udeera Lekamge, Informatics Institute of Technology, Sri Lanka. |
Paper Title: | Suggesting Waypoints to Autonomous Surface Vessels for Effective Emergency Response Using Machine Learning |
Author(s): |
Udeera Lekamge, Informatics Institute of Technology, Sri Lanka. Jayani Harischandra, Informatics Institute of Technology, Sri Lanka. |
Presenting Author: |
Daniel Lukats, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH |
Paper Title: | Towards Concept Change Detection in Marine Ecosystems |
Author(s): |
Daniel Lukats, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Elmar Berghöfer, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Frederic Stahl, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Janina Schneider, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Daniela Pieck, Carl von Ossietzky Universität Oldenburg Mobin Idrees, University of Reading Lars Nolle, Jade Hochschule Oliver Zielinski, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH |
Presenting Author: |
Juri Zach, Hamburg University of Applied Sciences |
Paper Title: | Towards Non-invasive Fish Monitoring in Hard-to-Access Habitats Using Autonomous Underwater Vehicles and Machine Learning |
Author(s): |
Juri Zach, Hamburg University of Applied Sciences Christian Busse, Hamburg University of Technology Steffen Funk, University of Hamburg Christian Möllmann, University of Hamburg Bernd-Christian Renner, University of Koblenz-Landau Tim Tiedemann, Hamburg University of Applied Sciences |
Presenting Author: |
Julian Le Deunf, Shom and IMT Atlantique, Lab-STICC, UMR CNRS 6285, F-29238 |
Paper Title: | Seabed prediction from airborne topo-bathymetric lidar point clouds using machine learning approaches |
Author(s): |
Julian Le Deunf, Shom and IMT Atlantique, Lab-STICC, UMR CNRS 6285, F-29238 Rudresh Mishra, INRIA Saclay Yves Pastol, Shom Romain Billot, IMT Atlantique Steve Oudot, INRIA Saclay |
Presenting Author: |
Bilal Wehbe, Robotics Innovation Center / DFKI |
Paper Title: | Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study |
Author(s): |
Mihir Patil, Hochschule Bonn-Rhein-Sieg Matias Valdenegro Toro, Robotics Innovation Center / DFKI Bilal Wehbe, Robotics Innovation Center / DFKI |