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 …
attracted increasing interest in the research on the motion behavior knowledge extraction …
Enhancing Maritime Cybersecurity through Operational Technology Sensor Data Fusion: A Comprehensive Survey and Analysis
Cybersecurity is becoming an increasingly important aspect in ensuring maritime data
protection and operational continuity. Ships, ports, surveillance and navigation systems …
protection and operational continuity. Ships, ports, surveillance and navigation systems …
Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length
M Azam, N Bouguila - Expert Systems with Applications, 2022 - Elsevier
In this paper, the bounded support asymmetric generalized Gaussian mixture model
(BAGGMM) is proposed for data modeling as an alternative to unbounded mixture models …
(BAGGMM) is proposed for data modeling as an alternative to unbounded mixture models …
PCA-based hierarchical clustering of AIS trajectories with automatic extraction of clusters
With the rapid development of vessel industry, the density of traffic flow is gradually
increasing, which increases the risk of water accidents and threatens the safety of human life …
increasing, which increases the risk of water accidents and threatens the safety of human life …
Multi-Density Adaptive Trajectory Clustering Algorithm For Ships Based on AIS Data
Y Zhang, X Yuan, M Li, G Zhao, H Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Automatic Identification System (AIS) can obtain a large amount of data on ship trajectories
and movement characteristics, which provides data support for ship route planning …
and movement characteristics, which provides data support for ship route planning …
Vessel sailing patterns analysis from S-AIS data dased on K-means clustering algorithm
Z Hanyang, S Xin, Y Zhenguo - 2019 IEEE 4th International …, 2019 - ieeexplore.ieee.org
Automatic Identification System (AIS) provides abundant near real-time information of
moving vessels in the sea of the whole world and has been widely used in the fields of …
moving vessels in the sea of the whole world and has been widely used in the fields of …
[HTML][HTML] A novel sparse representation algorithm for AIS real-time signals
S Huai, S Zhang - EURASIP journal on wireless communications and …, 2018 - Springer
Sparse representation of signals based on a redundant dictionary is a new signal
representation theory. Recent research activities in this field have concentrated mainly on …
representation theory. Recent research activities in this field have concentrated mainly on …
Generative Models Based on the Bounded Asymmetric Student's t-Distribution
O Bouarada - 2023 - spectrum.library.concordia.ca
Gaussian mixture models (GMMs) are a very useful and widely popular approach for
clustering, but they have several limitations, such as low outliers tolerance and assumption …
clustering, but they have several limitations, such as low outliers tolerance and assumption …
[PDF][PDF] LỜI CAM ĐOAN
ĐT Hân - ciem.org.vn
Trong quá trình thực hiện Luận án “Huy động và sử dụng các nguồn lực tài chính thực hiện
chương trình xây dựng Nông thôn mới tại các tỉnh trung du và miền núi phía Bắc Việt Nam” …
chương trình xây dựng Nông thôn mới tại các tỉnh trung du và miền núi phía Bắc Việt Nam” …