A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis
Identifying and assessing the likelihood and consequences of maritime accidents has been
a key focus of research within the maritime industry. However, conventional methods utilised …
a key focus of research within the maritime industry. However, conventional methods utilised …
Data mining approach to shipping route characterization and anomaly detection based on AIS data
A data mining approach is presented for probabilistic characterization of maritime traffic and
anomaly detection. The approach automatically groups historical traffic data provided by the …
anomaly detection. The approach automatically groups historical traffic data provided by the …
A ship movement classification based on Automatic Identification System (AIS) data using Convolutional Neural Network
X Chen, Y Liu, K Achuthan, X Zhang - Ocean Engineering, 2020 - Elsevier
With a wide use of AIS data in maritime transportation, there is an increasing demand to
develop algorithms to efficiently classify a ship's AIS data into different movements (static …
develop algorithms to efficiently classify a ship's AIS data into different movements (static …
Improving maritime traffic surveillance in inland waterways using the robust fusion of AIS and visual data
To guarantee vessel traffic safety in inland waterways, the automatic identification system
(AIS) and shore-based cameras have been widely adopted to monitor moving vessels. The …
(AIS) and shore-based cameras have been widely adopted to monitor moving vessels. The …
Understanding individualization driving states via latent Dirichlet allocation model
Automatic driving technology has become one of the hottest research topics of the Intelligent
Transportation System (ITS) and Artificial Intelligence (AI) in the recent years. The …
Transportation System (ITS) and Artificial Intelligence (AI) in the recent years. The …
A novel sparse representation model for pedestrian abnormal trajectory understanding
Pedestrian abnormal trajectory understanding based on video surveillance systems can
improve public safety. However, manually identifying pedestrian abnormal trajectories is …
improve public safety. However, manually identifying pedestrian abnormal trajectories is …
A systematic literature review of technological developments and challenges for inland waterways freight transport in intermodal supply chain management
S Gbako, D Paraskevadakis, J Ren, J Wang… - Benchmarking: An …, 2024 - emerald.com
Purpose Inland shipping has been extensively recognised as a sustainable, efficient and
good alternative to rail and road modes of transportation. In recent years, various authorities …
good alternative to rail and road modes of transportation. In recent years, various authorities …
LiDAR-based simultaneous multi-object tracking and static mapping in nearshore scenario
Z Yao, X Chen, N Xu, N Gao, M Ge - Ocean Engineering, 2023 - Elsevier
Reliable object tracking is a key ingredient for maritime autonomous surface ship (MASS),
which can perceive surrounding objects and predict their motion state. Existing tracking …
which can perceive surrounding objects and predict their motion state. Existing tracking …
Passive ship detection and classification using hybrid cepstrums and deep compound autoencoders
The acoustic noise radiated from various ships in the same class is varying due to the
changing machinery regimes, the multi-path propagation effect, time-varying underwater …
changing machinery regimes, the multi-path propagation effect, time-varying underwater …
Ranking the strategies to overcome the barriers of the maritime supply chain (MSC) of containerized freight under fuzzy environment
Owing to global competition, international trade, and cost-effectiveness the role of the
maritime supply chain (MSC) in transporting containerized freight has been growing …
maritime supply chain (MSC) in transporting containerized freight has been growing …