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Prediction Table for Marine Traffic for Vessel Traffic Service Based on Cognitive Work Analysis.

, , and . Int. J. Fuzzy Log. Intell. Syst., 13 (4): 315-323 (2013)

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Prediction Table for Marine Traffic for Vessel Traffic Service Based on Cognitive Work Analysis., , and . Int. J. Fuzzy Log. Intell. Syst., 13 (4): 315-323 (2013)Utilization of Planned Routes and Dead Reckoning Positions to Improve Situation Awareness at Sea., , and . Int. J. Fuzzy Log. Intell. Syst., 14 (4): 288-294 (2014)Study on the Analysis of Near-Miss Ship Collisions Using Logistic Regression., , and . J. Adv. Comput. Intell. Intell. Informatics, 21 (3): 467-473 (2017)Implementation of an intelligent system for identifying vessels exhibiting abnormal navigation patterns., , , and . SCIS&ISIS, page 1292-1297. IEEE, (2012)Risk Assessment Model of Maritime Traffic in Time-Variant CPA Environments in Waterway., , and . J. Adv. Comput. Intell. Intell. Informatics, 16 (7): 866-873 (2012)Information Exchange System for Efficient Operations of Autonomous Ship., , , , and . iFUZZY, page 104-109. IEEE, (2018)Extraction of Reference Seaway through Machine Learning of Ship Navigational Data and Trajectory., and . Int. J. Fuzzy Log. Intell. Syst., 17 (2): 82-90 (2017)Pattern Recognition of Ship Navigational Data Using Support Vector Machine., and . Int. J. Fuzzy Log. Intell. Syst., 15 (4): 268-276 (2015)Assessment of Collision Risk in Vessel Traffic Service Areas using Fuzzy Comprehensive Evaluation., and . SCIS/ISIS, page 1-4. IEEE, (2022)Development of grid projection algorithm of vessel trajectories for e-Navigation., , and . SCIS&ISIS, page 210-213. IEEE, (2014)