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Proceedings Papers

Motion-Based Surface Current Estimation with Neural Networks: A Numerical Study from Data of a Spread-Moored FPSO

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Gustavo A. Bisinotto, Fabio G. Cozman, Eduardo A. Tannuri
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-027
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View Paper titled, Motion-Based Surface Current Estimation with Neural Networks: A Numerical Study from Data of a Spread-Moored FPSO
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Proceedings Papers

A Real-Time Inversion Framework for Carbon Equivalent Emissions in Oil and Gas Extraction Based on Vision Transformer

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Zehua Song, Xiaoyang Yu, Yu Song, Jin Yang, Dongsheng Xu, Kejin Chen, Fangfei Huang, Bin Chen, Yanwei Song
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-044
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View Paper titled, A Real-Time Inversion Framework for Carbon Equivalent Emissions in Oil and Gas Extraction Based on Vision Transformer
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Proceedings Papers

Research on the Construction Method of Neural Network-Based Surrogate Model for Wave Load Prediction of Offshore Platforms

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Bingquan Yang, Jingxi Liu
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-014
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View Paper titled, Research on the Construction Method of Neural Network-Based Surrogate Model for Wave Load Prediction of Offshore Platforms
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Proceedings Papers

Duration Prediction of Ship Lifting Machine Based on LIWOA Optimal Neural Network

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Zhi-wei Fan, Yan Jin, Xin Meng, Liang Luo, Li-zheng Wang, Hao Yuan
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-007
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View Paper titled, Duration Prediction of Ship Lifting Machine Based on LIWOA Optimal Neural Network
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Proceedings Papers

Wave-Field Reconstruction from Moored Floating Structure Using Deep Stereo

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Omar Jebari, Seong Hyeon Hong, Travis Hunsucker, Do Kyun Kim, Chungkuk Jin
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-041
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View Paper titled, Wave-Field Reconstruction from Moored Floating Structure Using Deep Stereo
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Proceedings Papers

Hydrodynamic Shape Optimization by High Fidelity CFD Solver and BP Neural Network

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XinYu Chen, WeiXiang Yang, Kun Ban, Hao Wang, Shunhuai Chen
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-559
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View Paper titled, Hydrodynamic Shape Optimization by High Fidelity CFD Solver and BP Neural Network
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Proceedings Papers

Hull Form Optimization Utilizing the Pressure Distribution Surrogate Model Based on the Unet

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Jeongbeom Seo, Dayeon Kim, Inwon Lee
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-556
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View Paper titled, Hull Form Optimization Utilizing the Pressure Distribution Surrogate Model Based on the Unet
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Proceedings Papers

Development of a Control System for Core-Sampling USV That Combines Sliding Mode Control and Neural Network

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Makoto Morito, Shun Fujii, Kouki Yoshimura, Yukihisa Sanada, Shoichiro Baba, Hiroshi Matsunaga, Takami Mori, Kenichiro Sato, Junichiro Tahara
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-529
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View Paper titled, Development of a Control System for Core-Sampling USV That Combines Sliding Mode Control and Neural Network
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Proceedings Papers

Identification Modeling of Ship Maneuvering Motion Based on LSTM Deep Neural Network

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Yan Jiang, Lei Yu, Xue-Gang Wang, Zao-Jian Zou
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-546
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View Paper titled, Identification Modeling of Ship Maneuvering Motion Based on LSTM Deep Neural Network
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Proceedings Papers

Data-Driven Modeling of 4-DOF Ship Maneuvering Motion with Recurrent Neural Networks

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Tianhua Wang, Zhihua Wang, Ke Zeng, Chen Yang, Jian Gu, Shuo Xie
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-545
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View Paper titled, Data-Driven Modeling of 4-DOF Ship Maneuvering Motion with Recurrent Neural Networks
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Proceedings Papers

Study of Maritime Autonomous Surface Ships (MASS) Trustworthiness: Hardware Point of View

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Hosna Namazi, Lokukaluge Prasad Perera
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-525
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View Paper titled, Study of Maritime Autonomous Surface Ships (MASS) Trustworthiness: Hardware Point of View
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Proceedings Papers

Deep Learning-Based Prediction of Wave Motion Response Prediction of the TSHD

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Hongsheng Zhang, Lei Chen, Jingdun Pang, Zhiwen Chen
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-569
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View Paper titled, Deep Learning-Based Prediction of Wave Motion Response Prediction of the TSHD
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Proceedings Papers

A Human Perception View on Holistic Anomaly Detection Systems for Maritime Engine Rooms

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Anders Öster
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-607
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View Paper titled, A Human Perception View on Holistic Anomaly Detection Systems for Maritime Engine Rooms
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Proceedings Papers

Study on Debonding Prediction of CFRP Repairing Steel Plates Based on Lamb Wave and Improved Elman Neural Network

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Qingsong Wang, Yu Zhang, Wei Shu, Xin Huang, Fang Wang
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-610
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View Paper titled, Study on Debonding Prediction of CFRP Repairing Steel Plates Based on Lamb Wave and Improved Elman Neural Network
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Proceedings Papers

Short-Term Forecast of Ship Pitch Based on LSTM

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Zhichao Hong, Yijie Ding, Lixin Xu, Yuqi Si, Yu Yang
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-609
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View Paper titled, Short-Term Forecast of Ship Pitch Based on LSTM
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Proceedings Papers

An Automated Method for the Review of a Ship's Safety Plan Based on Deep Learning

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In-Chang Yeo, Myung-Il Roh, Min-Chul Kong, Dongki Min, Dongguen Jeong
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-604
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View Paper titled, An Automated Method for the Review of a Ship's Safety Plan Based on Deep Learning
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Enhancing Long-Term Predictive Accuracy in Wave Energy Converters Through a Dual-Model Approach

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Yueqi Wu, Wanan Sheng, C. James Taylor, George Aggidis, Xiandong Ma
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-093
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View Paper titled, Enhancing Long-Term Predictive Accuracy in Wave Energy Converters Through a Dual-Model Approach
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Proceedings Papers

The Motion Forecasting Study of Floating Offshore Wind Turbine Using Self-Attentive Long Short-Term Memory Method

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Sijia Deng, Dezhi Ning, Yu Zhou, Lin Lin
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-135
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View Paper titled, The Motion Forecasting Study of Floating Offshore Wind Turbine Using Self-Attentive Long Short-Term Memory Method
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Proceedings Papers

Construction of a Prediction Model Using LSTM for Top Tension of Mooring Line in Floating Offshore Wind Turbine

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Mitsushi Watanabe
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-134
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View Paper titled, Construction of a Prediction Model Using LSTM for Top Tension of Mooring Line in Floating Offshore Wind Turbine
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Proceedings Papers

Subterranean Hazard Detection Through Infrared Images and Convolutional Neural Network

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Byeong-Su Jang, Dae-Hong Min, Hyung-Koo Yoon
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-174
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View Paper titled, Subterranean Hazard Detection Through Infrared Images and Convolutional Neural Network
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