Identification of ship manoeuvring motion based on nu-support vector machine Z Wang, Z Zou, CG Soares Ocean Engineering 183, 270-281, 2019 | 121 | 2019 |
Kernel-based support vector regression for nonparametric modeling of ship maneuvering motion Z Wang, H Xu, L Xia, Z Zou, CG Soares Ocean Engineering 216, 107994, 2020 | 90 | 2020 |
Condition-based maintenance for offshore wind turbines based on support vector machine J Kang, Z Wang, C Guedes Soares Energies 13 (14), 3518, 2020 | 51 | 2020 |
Identification modeling and prediction of ship maneuvering motion based on LSTM deep neural network Y Jiang, XR Hou, XG Wang, ZH Wang, ZL Yang, ZJ Zou Journal of Marine Science and Technology 27 (1), 125-137, 2022 | 48 | 2022 |
Experimental investigation of shallow water effect on vessel steering model using system identification method H Xu, MA Hinostroza, Z Wang, CG Soares Ocean Engineering 199, 106940, 2020 | 40 | 2020 |
Black-box modeling of ship maneuvering motion based on multi-output nu-support vector regression with random excitation signal YY Zhang, ZH Wang, ZJ Zou Ocean Engineering 257, 111279, 2022 | 35 | 2022 |
Nonparametric modeling of ship maneuvering motion based on self-designed fully connected neural network HW He, ZH Wang, ZJ Zou, Y Liu Ocean Engineering 251, 111113, 2022 | 35 | 2022 |
Optimal design of excitation signal for identification of nonlinear ship manoeuvring model Z Wang, CG Soares, Z Zou Ocean Engineering, 106778, 2020 | 35 | 2020 |
Surrogate model based uncertainty quantification of CFD simulations of the viscous flow around a ship advancing in shallow water L Xia, ZJ Zou, ZH Wang, L Zou, H Gao Ocean Engineering 234, 109206, 2021 | 30 | 2021 |
Flying wing underwater glider: Design, analysis, and performance prediction W Zihao, L Ye, W Aobo, W Xiaobing 2015 International Conference on Control, Automation and Robotics, 74-77, 2015 | 23 | 2015 |
Quantifying multicollinearity in ship manoeuvring modeling by variance inflation factor ZH Wang, ZJ Zou International Conference on Offshore Mechanics and Arctic Engineering 51265 …, 2018 | 19 | 2018 |
A data driven method for multi-step prediction of ship roll motion in high sea states D Zhang, X Zhou, ZH Wang, Y Peng, SR Xie Ocean Engineering 276, 114230, 2023 | 16 | 2023 |
Path following of underactuated marine vehicles based on model predictive control ZH Zeng, ZJ Zou, ZH Wang, JQ Wang International Journal of Offshore and Polar Engineering 30 (04), 463-470, 2020 | 7 | 2020 |
System Identification Based on Completely Connected Neural Networks for Black-box Modeling of Ship Maneuvers HW He, ZH Wang, ZJ Zou, Y Liu Advances in Guidance, Navigation and Control, pp 3951-3962, 2022 | 2 | 2022 |
Online Modeling of Ship Maneuvering Motion With Varying Loading Conditions YH Yu, ZH Wang, D Qu, R Song, Y Peng ASME 2023 42nd International Conference on Ocean, Offshore and Arctic …, 2023 | 1 | 2023 |
Online prediction of ship maneuvering motions based on adaptive weighted ensemble learning under dynamic changes Y Yu, H Hao, Z Wang, Y Peng, S Xie Engineering Applications of Computational Fluid Mechanics 18 (1), 2341922, 2024 | | 2024 |
A bi-layer task decision-making approach for USV clusters with multi-constrained task points X Zhao, R Song, Y Xie, Z Wang, Y Peng Ocean Engineering 308, 118304, 2024 | | 2024 |
Data-Driven Modeling of Unmanned Surface Vehicle's Maneuvering Motion Based on Real Navigational Data Z Wang, J Cheng, W Xie, R Song, Y Peng Ship Building of China 65 (1), 146-155, 2024 | | 2024 |
Evaluation of Parametric Modeling Method for Ship Maneuvering Motion With Experimental Data YX Zhong, ZH Wang, ZJ Zou ASME 2023 42nd International Conference on Ocean, Offshore and Arctic …, 2023 | | 2023 |
Sensitivity Analysis for Ship Squat Predictions using Sobol’ Indices Li Xia, Zaojian Zou, Zihao Wang The 11th International Workshop on Ship and Marine Hydrodynamics, 22-25 …, 2019 | | 2019 |