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- Path planning for ships assisted by the icebreaker in ice-covered waters in the Northern Sea Route based on optimal control
- OCEAN ENGINEERINGShu, Yaqing Zhu, Yujie Xu, Feng Gan, Langxiong Lee, Paul Tae-Woo Yin, Jianchuan Chen, Jihong 出版年：2023
- This paper aims to develop an innovative model based on optimal control to optimize the shipping path of the fleet, including icebreakers and following ships in continuous time and space in the Northern Sea Route (NSR) w...
- Estimating spatiotemporal distribution of wastewater generated by ships in coastal areas
- OCEAN & COASTAL MANAGEMENTShu, Yaqing Wang, Xinyue Huang, Zhiqiu Song, Lan Fei, Zhongqiang Gan, Langxiong Xu, Yanmin Yin, Jianchuan 出版年：2022
- With the increase of maritime traffic, the risk of wastewater generated by ships in coastal areas has raised much attention. The present study proposes a model to estimate wastewater's high-resolution spatiotemporal dist...
- Event-triggered-based nonlinear model predictive control for trajectory tracking of underactuated ship with multi-obstacle avoidance
- OCEAN ENGINEERINGLiu, Cheng Hu, Qizhi Wang, Xuegang Yin, Jianchuan 出版年：2022
- Trajectory tracking and automatic obstacle avoidance are both cutting-edge problems in controlling under actuated ship; however, they have been generally studied separately due to its challenge in multiple control object...
- Predictive Trajectory Tracking Control of Autonomous Underwater Vehicles Based on Variable Fuzzy Predictor
- INTERNATIONAL JOURNAL OF FUZZY SYSTEMSYin, Jianchuan Wang, Ning 出版年：2021
- A variable-fuzzy-predictor-based predictive control approach is presented to solve the dynamic trajectory tracking problem of an autonomous underwater vehicle (AUV) in a three-dimensional underwater environment. To adapt...
- An Improved Black Widow Optimization Algorithm for Engineering Constrained Optimization Problems
- IEEE ACCESSXu, Dongxing Yin, Jianchuan 出版年：2023
- In solving engineering constrained optimization problems, the conventional black widow optimization algorithm (BWOA) has some shortcomings such as insufficient robustness and slow convergence speed. Therefore, an improve...
- An adaptive real-time modular tidal level prediction mechanism based on EMD and Lipschitz quotients method
- OCEAN ENGINEERINGYin, Jianchuan Wang, Huifeng Wang, Nini Wang, Xuegang 出版年：2023
- Real-time prediction of tidal level is vital for on-the-spot activities such as marine transportation and ocean surveys. Aiming at the complex characteristics of nonlinearity, time-varying dynamics, and uncertainty gener...
- A Modular Tide Level Prediction Method Based on a NARX Neural Network
- IEEE ACCESSWu, Wenhao Li, Lianbo Yin, Jianchuan Lyu, Wenyu Zhang, Wenjun 出版年：2021
- Tide variations are affected not only by periodic movement of celestial bodies but also by time-varying interference from the external environment. To improve the accuracy of tide prediction, a modular tide level predict...
- Spatial-temporal offshore wind speed characteristics prediction based on an improved purely 2D CNN approach in a large-scale perspective using reanalysis dataset
- ENERGY CONVERSION AND MANAGEMENTZhang, Zeguo Yin, Jianchuan 出版年：2024
- Accurate prediction of spatial-temporal wind speed with a large-scale perspective is vital for the wind farm dynamic regulation, the floating wind turbine deployment and its early warning. Machine-learning approaches hav...
- An enhanced hybrid scheme for ship roll prediction using support vector regression and TVF-EMD
- OCEAN ENGINEERINGXu, Dongxing Yin, Jianchuan 出版年：2024
- In order to represent the complex characteristics of ship roll motion such as nonlinearity, uncertainty, and timevarying dynamics thus improving the ship roll prediction accuracy, an enhanced hybrid prediction scheme is ...
- Investigation of ship energy consumption based on neural network
- OCEAN & COASTAL MANAGEMENTShu, Yaqing Yu, Benshuang Liu, Wei Yan, Tao Liu, Zhiyao Gan, Langxiong Yin, Jianchuan Song, Lan 出版年：2024
- Due to fuel price fluctuations and greenhouse gas emissions caused by international shipping, the reduction of ship fuel consumption is important. In this paper, a ship energy consumption prediction model is established ...
- Real-time prediction of metacentric hEIght of ro-ro passenger ships in Qiongzhou strait based on improved RBF neural network
- OCEAN ENGINEERINGWang, Lijun Liao, Shenghao Wang, Sisi Jia, Baozhu Yin, Jianchuan Li, Ronghui 出版年：2024
- Addressing the complexities and real-time challenges in calculating ship metacentric hEIght (GM), this study proposes an improved method using an optimized radial basis function neural network (RBFNN) for real-time GM pr...
- Multi-head attention ResUnet with sequential sliding windows for sea surface hEIght anomaly field forecast: A regional study in North Atlantic Ocean
- APPLIED SOFT COMPUTINGZhang, Zeguo Yin, Jianchuan Wang, Lijun 出版年：2024
- Accurate and efficient prediction of Sea surface hEIght anomaly (SSHA) field is very important for operational marine monitoring and engineering. It is also a vital indicator of better understanding global climate change...
- Spatial-temporal Offshore Current Field Forecasting Using Residual-learning Based Purely CNN Methodology with Attention Mechanism
- APPLIED ARTIFICIAL INTELLIGENCEZhang, Zeguo Yin, Jianchuan 出版年：2024
- Spatial-temporal current forecasting is indispensable for ocean engineering and marine science exploration, for instance aiding in the conservation and protection of marine ecosystems, planning shipping-routes and determ...
- Multi-Ship Coordinated Collision Avoidance Decision-Making Based on an Improved Black Widow Optimization Algorithm
- SSRNXu, Dongxing Yin, Jianchuan 出版年：2022
- It is vital for the ship intelligent collision avoidance system to make proper and effective real-time collision avoidance decisions. To be suitable for real-time decision-making in marine safety applications, the conven...
- Corrigendum: Real-time prediction of metacentric hEIght of ro-ro passenger ships in Qiongzhou strait based on improved RBF neural network [Ocean Eng. 312 (3) 15 November (2024), 119067] (Ocean Engineering (2024) 312(P3), (S0029801824024053), (10.1016/j.oceaneng.2024.119067))
- Ocean EngineeringWang, Lijun Liao, Shenghao Wang, Sisi Jia, Baozhu Yin, Jianchuan Li, Ronghui 出版年：2024
- The author regrets that the threshold value for the Grey Correlation Degree of Combination 2 in the section titled "5.1. Network input layer selection" and in Table 3 was incorrectly stated. Corrections have now been mad...
- A data-driven ISM-BN model for safety analysis of inland shipping in the Pearl River Basin
- OCEAN ENGINEERINGLi, Fang Lin, Shengliang Li, Heping Yin, Jianchuan Li, Dexin Zhang, Jinshui 出版年：2024
- Inland shipping of the Pearl River plays an important role in the Chinese shipping system. To ensure navigation safety, we collect reports of maritime accidents from 2015 to 2022 in the Pearl River basin. This article ex...
- Study on the Carbon Emission Efficiency of Pearl River Delta Ports Based on the Super-SBM-GML Index Model
- NEURAL COMPUTING FOR ADVANCED APPLICATIONS, NCAA 2024, PT IILin, Weixiong Yin, Jianchuan Huang, Zhenkai 出版年：2025
- Peak Carbon and Carbon Emission Reduction has been a hot issue in the shipping industry for a long time, but it still faces serious challenges. One of the reasons for this is that there is still a lack of scientific guid...
- Ensemble Tidal Prediction Scheme by Combining Harmonic Analysis and Meteorological Predictive Module
- NEURAL COMPUTING FOR ADVANCED APPLICATIONS, NCAA 2024, PT IIIWang, Rui Yin, Jianchuan Xu, Dongxing 出版年：2025
- Attributing to the influences of complex environmental factors on tides, there are often large errors in tidal prediction. To improve the accuracy of tide prediction in practical application, we apply the multi-module co...
- Nonlinear Real-Time Prediction of Metacentric HEIght of Ro-Ro Passenger Ships in Qiongzhou Strait Based on Improved Rbf Neural Network
- SSRNLiao, Shenghao Wang, Lijun Wang, Sisi Yin, Jianchuan Li, Ronghui 出版年：2024
- Addressing the complexities and real-time challenges in calculating ship metacentric hEIght (GM), this study proposes an improved method using an optimized radial basis function (RBF) neural network for real-time GM pred...
- An adaptive real-time ship roll motion prediction scheme based on two-stage multi-resolution decomposition
- Ocean EngineeringYin, Jianchuan Wang, Nini Shu, Yaqing 出版年：2025
- Real-time prediction of ship roll motion is crucial for enhancing marine safety and efficiency. To address the complex characteristics of ship roll dynamics, including nonlinearity, time-varying dynamics, and uncertainty...
- Marine Ship Detection Under Fog Conditions Based on an Improved Deep-Learning Approach
- NEURAL COMPUTING FOR ADVANCED APPLICATIONS, NCAA 2024, PT IXu, Guokang Yin, Jianchuan Zhang, Zeguo 出版年：2025
- Target detection plays an essential role in automatic ship identification, ocean border monitoring, and fishing ships supervision, as well as providing environmental perception capability for booming unmanned marine vehi...
