User profiles for Ryan Liu
 | Wen LIU (刘文)Other name: Ryan Wen Liu Professor, Wuhan University of Technology | 武汉理工大学 Verified email at whut.edu.cn Cited by 3883 |
An enhanced CNN-enabled learning method for promoting ship detection in maritime surveillance system
The accurate and real-time detection of moving ships has become an essential component
in maritime video surveillance, leading to enhanced traffic safety and security. With the rapid …
in maritime video surveillance, leading to enhanced traffic safety and security. With the rapid …
Deep learning-powered vessel trajectory prediction for improving smart traffic services in maritime Internet of Things
The maritime Internet of Things (IoT) has recently emerged as a revolutionary communication
paradigm where a large number of moving vessels are closely interconnected in intelligent …
paradigm where a large number of moving vessels are closely interconnected in intelligent …
A survey of PEV impacts on electric utilities
R Liu, L Dow, E Liu - ISGT 2011, 2011 - ieeexplore.ieee.org
For the past few years, plug-in electric vehicle (PEV) technology development has gained
immense popularity. Recent studies show that if PEVs displaced half of all vehicles on the road…
immense popularity. Recent studies show that if PEVs displaced half of all vehicles on the road…
Deep network-enabled haze visibility enhancement for visual IoT-driven intelligent transportation systems
The Internet of Things (IoT) has recently emerged as a revolutionary communication paradigm
where a large number of objects and devices are closely interconnected to enable smart …
where a large number of objects and devices are closely interconnected to enable smart …
Data-driven trajectory quality improvement for promoting intelligent vessel traffic services in 6G-enabled maritime IoT systems
Future generation communication systems, such as 5G and 6G wireless systems, exploit the
combined satellite-terrestrial communication infrastructures to extend network coverage and …
combined satellite-terrestrial communication infrastructures to extend network coverage and …
STMGCN: Mobile edge computing-empowered vessel trajectory prediction using spatio-temporal multigraph convolutional network
The revolutionary advances in machine learning and data mining techniques have contributed
greatly to the rapid developments of maritime Internet of Things (IoT). In maritime IoT, the …
greatly to the rapid developments of maritime Internet of Things (IoT). In maritime IoT, the …
Adaptively constrained dynamic time warping for time series classification and clustering
Time series classification and clustering are important for data mining research, which is
conducive to recognizing movement patterns, finding customary routes, and detecting abnormal …
conducive to recognizing movement patterns, finding customary routes, and detecting abnormal …
Quantifying Arctic oil spilling event risk by integrating an analytic network process and a fuzzy comprehensive evaluation model
The development of economic globalization and increasing ice melting in Arctic area
enables Arctic shipping activities more convenient. Exploring impact of extreme events (ie, oil …
enables Arctic shipping activities more convenient. Exploring impact of extreme events (ie, oil …
[HTML][HTML] A dimensionality reduction-based multi-step clustering method for robust vessel trajectory analysis
The Shipboard Automatic Identification System (AIS) is crucial for navigation safety and
maritime surveillance, data mining and pattern analysis of AIS information have attracted …
maritime surveillance, data mining and pattern analysis of AIS information have attracted …
Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery
Owing to the space–air–ground integrated networks (SAGIN), seaborne shipping has
attracted increasing interest in the research on the motion behavior knowledge extraction and …
attracted increasing interest in the research on the motion behavior knowledge extraction and …