Követés
Wen LIU (刘文)
Wen LIU (刘文)
További nevekRyan Wen Liu, 刘文
Professor, Wuhan University of Technology | 武汉理工大学
E-mail megerősítve itt: whut.edu.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
An enhanced CNN-enabled learning method for promoting ship detection in maritime surveillance system
RW Liu, W Yuan, X Chen, Y Lu
Ocean Engineering 235, 109435, 2021
2182021
Adaptively constrained dynamic time warping for time series classification and clustering
H Li, J Liu, Z Yang, RW Liu, K Wu, Y Wan
Information Sciences 534, 97-116, 2020
1962020
A dimensionality reduction-based multi-step clustering method for robust vessel trajectory analysis
H Li, J Liu, RW Liu, N Xiong, K Wu, T Kim
Sensors 17 (8), 1792, 2017
1902017
Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems
RW Liu, J Nie, S Garg, Z Xiong, Y Zhang, MS Hossain
IEEE Internet of Things Journal 8 (7), 5374-5385, 2021
1822021
Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things
RW Liu, M Liang, J Nie, WYB Lim, Y Zhang, M Guizani
IEEE Transactions on Network Science and Engineering 9 (5), 3080-3094, 2022
1702022
Spatio-temporal vessel trajectory clustering based on data mapping and density
H Li, J Liu, K Wu, Z Yang, RW Liu, N Xiong
IEEE Access 6, 58939-58954, 2018
1572018
Generalized total variation-based MRI Rician denoising model with spatially adaptive regularization parameters
RW Liu, L Shi, W Huang, J Xu, SCH Yu, D Wang
Magnetic Resonance Imaging 32 (6), 702-720, 2014
1482014
Deep Network-Enabled Haze Visibility Enhancement for Visual IoT-Driven Intelligent Transportation Systems
RW Liu, Y Guo, Y Lu, KT Chui, BB Gupta
IEEE Transactions on Industrial Informatics 19 (2), 1581-1591, 2023
1442023
Implementation of high‐order variational models made easy for image processing
W Lu, J Duan, Z Qiu, Z Pan, RW Liu, L Bai
Mathematical Methods in the Applied Sciences 39 (14), 4208-4233, 2016
1342016
STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multi-Graph Convolutional Network
RW Liu, M Liang, J Nie, Y Yuan, Z Xiong, H Yu, N Guizani
IEEE Transactions on Industrial Informatics 18 (11), 7977-7987, 2022
1302022
Predicting students’ performance with school and family tutoring using generative adversarial network-based deep support vector machine
KT Chui, RW Liu, M Zhao, PO De Pablos
IEEE Access 8, 86745-86752, 2020
1252020
Dynamic ship domain models for capacity analysis of restricted water channels
J Liu, F Zhou, Z Li, M Wang, RW Liu
The Journal of Navigation 69 (3), 481-503, 2016
1202016
GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries
Y Huang, Y Li, Z Zhang, RW Liu
IEEE Internet of Things Journal 7 (11), 10794-10812, 2020
1132020
An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
M Liang, RW Liu, S Li, Z Xiao, X Liu, F Lu
Ocean Engineering 225, 108803, 2021
1102021
A survey of GPU-based medical image computing techniques
L Shi, RW Liu, H Zhang, Y Xie, D Wang
Quantitative Imaging in Medicine and Surgery 2 (3), 188, 2012
1082012
Quantifying Arctic oil spilling event risk by integrating an analytic network process and a fuzzy comprehensive evaluation model
X Chen, S Liu, RW Liu, H Wu, B Han, J Zhao
Ocean & Coastal Management 228, 106326, 2022
872022
Fine-Grained Vessel Traffic Flow Prediction with a Spatio-Temporal Multi-Graph Convolutional Network
M Liang, RW Liu, Y Zhan, H Li, F Zhu, FY Wang
IEEE Transactions on Intelligent Transportation Systems 23 (12), 23694-23707, 2022
852022
Adaptive douglas-peucker algorithm with automatic thresholding for AIS-based vessel trajectory compression
J Liu, H Li, Z Yang, K Wu, Y Liu, RW Liu
IEEE Access 7, 150677-150692, 2019
832019
Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive Learning, Motion Modeling and Particle Filtering Techniques
Z Xiao, X Fu, L Zhang, W Zhang, RW Liu, Z Liu, RSM Goh
IEEE Transactions on Intelligent Transportation Systems 23 (4), 3696-3709, 2022
802022
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks
W Zhang, F Zhu, Y Lv, C Tan, RW Liu, X Zhang, FY Wang
Transportation Research Part C: Emerging Technologies 139, 103659, 2022
782022
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