A Multi-Feature Ensemble Learning Classification Method for Ship Classification with Space-Based AIS Data
AIS (Automatic Identification System) is an effective navigation aid system aimed to realize ship monitoring and collision avoidance. Space-based AIS data, which are received by satellites, have become a popular and promising approach for providing ship information around the world. To recognize the...
Guardado en:
Autores principales: | Yitao Wang, Lei Yang, Xin Song, Quan Chen, Zhenguo Yan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/c008137e80f5448da4ebbed0e0533e3e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Dual Image-Based CNN Ensemble Model for Waste Classification in Reverse Vending Machine
por: Taeyoung Yoo, et al.
Publicado: (2021) -
Social Botomics: A Systematic Ensemble ML Approach for Explainable and Multi-Class Bot Detection
por: Ilias Dimitriadis, et al.
Publicado: (2021) -
Random Subspace Ensembles of Fully Convolutional Network for Time Series Classification
por: Yangqianhui Zhang, et al.
Publicado: (2021) -
Long-Term Ship Position Prediction Using Automatic Identification System (AIS) Data and End-to-End Deep Learning
por: Ibadurrahman, et al.
Publicado: (2021) -
Estimating Critical Latency Affecting Ship’s Collision in Re-Mote Maneuvering of Autonomous Ships
por: Jeong-Bin Yim, et al.
Publicado: (2021)