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Lee, Hyeong-Tak (이형탁)
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Department
Korea Ocean Satellite Center (해양위성센터)
Research Interests
Maritime Artificial Intelligence, 해양인공지능

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Results 1-8 of 8

ArticleNight Fishing Boat Light Detection Using DNB Data and Deep Neural NetworkSCOPUS

Journal of Coastal Research, v.116, no.sp1, pp.220 - 224, 2024

Article심층신경망 기반의 해수 고유광특성 도출SCOPUSKCI

Korean Journal of Remote Sensing, v.39, no.5-1, pp.695 - 713, 2023

ArticlePassage Planning in Coastal Waters for Maritime Autonomous Surface Ships using the D* AlgorithmKCI

해양환경안전학회지, v.29, no.3, pp.281 - 287, 2023

ArticleA Study on Ship Route Generation with Deep Q Network and Route Following ControlKCI

한국항해항만학회지, v.47, no.2, pp.75 - 84, 2023

ArticleGeneration of Ship’s Passage Plan Using Data-Driven Shortest Path AlgorithmsSCIESCOPUS

IEEE Access, v.10, pp.126217 - 126231, 2022

ArticleGrouping Pilots' Maneuvering Types According to Berthing Velocity Using Agglomerative Clustering AlgorithmSCIESCOPUS

Journal of Marine Science and Engineering , v.10, no.10, 2022

ArticleData-Driven Analysis for Safe Ship Operation in Ports Using Quantile Regression Based on Generalized Additive Models and Deep Neural NetworkSCIESCOPUS

Sensors, v.21, no.24, 2021

ArticleAn AIS Data-Driven Approach to Analyze the Pattern of Ship Trajectories in Ports Using the DBSCAN AlgorithmSCIESCOPUS

APPLIED SCIENCES-BASEL, v.11, no.2, pp.1 - 33, 2021

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