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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

 
Presenting Author:   Navya PrakashDFKI
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 LekamgeInformatics 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 LukatsDeutsches 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 ZachHamburg 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 DeunfShom 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 WehbeRobotics 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

 
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