AIS data repair model based on generative adversarial network
Authors:
- Weibin ZhangWZWeibin Zhang
- Weiyang JiangWJWeiyang Jiang
- Qing LiuQing Liu
- Weifeng WangWWWeifeng Wang
- 13 August 2023
- journal article
- research article
- Published by Elsevier in Reliability Engineering & System Safety
- Vol. 240
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (71971116)
This publication has 22 references indexed in Scilit:
- Predicting residential energy consumption using CNN-LSTM neural networksEnergy, 2019
- Inland Ship Trajectory Restoration by Recurrent Neural NetworkJournal of Navigation, 2019
- How Generative Adversarial Networks and Their Variants WorkACM Computing Surveys, 2019
- Maritime navigation accidents and risk indicators: An exploratory statistical analysis using AIS data and accident reportsReliability Engineering & System Safety, 2018
- A novel ship trajectory reconstruction approach using AIS dataOcean Engineering, 2018
- A Method for Improving CNN-Based Image Recognition Using DCGANComputers, Materials & Continua, 2018
- A novel method for restoring the trajectory of the inland waterway ship by using AIS dataOcean Engineering, 2015
- How automatic identification system (AIS) antenna setup affects AIS signal qualityOcean Engineering, 2015
- Comprehensive Analysis of Automatic Identification System (AIS) Data in Regard to Vessel Movement PredictionJournal of Navigation, 2014
- Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR dataRemote Sensing of Environment, 2008