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Session:   P12-4 Artificial Intelligence in Ocean Science and Technology 4 (Virtual)
Co-Chair(s):   Andrea Coraddu
Day:   Thursday, September 23, 2021
Time:   1:30 PM - 2:50 PM local Porto time zone (GMT+1)
Room:   Virtual Room 2  

PAPERS

 
Presenting Author:   Maximilian ZochollNATO STO CMRE
Paper Title:   Ontology-based approach for vessel activity recognition
 
Author(s):   Maximilian Zocholl, NATO STO CMRE
Clement Iphar, NATO STO CMRE
Anne-Laure Jousselme, NATO STO CMRE
Cyril Ray, Naval Academy Research Institute

 
 
Presenting Author:   Andrea CoradduUniversity of Strathclyde
Paper Title:   Digital Twin of the Mooring Line Tension for Floating Offshore Wind Turbines
 
Author(s):   Jake Walker, University of Strathclyde
Andrea Coraddu, University of Strathclyde
Stuart Kilbourn, Fugro GB Marine Ltd.
Luca Oneto, University of Genova

 
 
Presenting Author:   Lingtao MaoZhejiang University
Paper Title:   Geoacoustic Inversion Based on Neural Network
 
Author(s):   Lingtao Mao, Zhejiang University
Xiang Pan, Zhejiang University
Yining Shen, Zhejiang University

 
 
Presenting Author:   Weihang NieUniversity of Chinese Academy of Sciences
Paper Title:   Tackling long-tail data distribution problem of deep learning based underwater target recognition system
 
Author(s):   Weihang Nie, University of Chinese Academy of Sciences
Jiawei Ren, University of Chinese Academy of Sciences
Gaofeng Cheng, University of Chinese Academy of Sciences
Wenchao Wang, University of Chinese Academy of Sciences
Ji Xu, University of Chinese Academy of Sciences

 
 
Presenting Author:   Hongxuan ChenHuazhong University of Science and Technology
Paper Title:   LS-QP-Switch Based Backstepping Control for Underwater Cleaning Vehicle
 
Author(s):   Guoyuan Tang, Huazhong University of Science and Technology
Hongxuan Chen, Huazhong University of Science and Technology
YanMin Huang, Huazhong University of Science and Technology
Hui Huang, Huazhong University of Science and Technology
Yougao  LUO, The Second Ship Design and Research Institute of Wuhan
Tao SUN, The Second Ship Design and Research Institute of Wuhan

 
 
Presenting Author:   Badri SubudhiIndian Institute of Technology Jammu
Paper Title:   Underwater U-Net: Deep Learning with U-Net for Visual Underwater Moving Object detection
 
Author(s):   Badri Subudhi, Indian Institute of Technology Jammu
Vatsalya Bajpai, Indian Institute of Technology Jammu
Akhilesh Sharma, Indian Institute of Technology Jammu
Veerakumar Thangaraj, National Institute of Technology Goa
Vinit Jakhetiya, Indian Institute of Technology Jammu

 
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