A Study on the Generation of Fouling Organism Information Based Aids to Navigation

Shin-Girl Lee, Chae-Uk Song, Yun-Ja Yoo, Min Jung

Journal of the Korean Society of Marine Environment and safety :: Vol.29 No.5 pp.456-461

DOI:https://doi.org/10.7837/kosomes.2023.29.5.456

Study on the Prediction of Motion Response of Fishing Vessels using Recurrent Neural Networks

Janghoon Seo, Dong-Woo Park, Dong Nam

Journal of the Korean Society of Marine Environment and safety :: Vol.29 No.5 pp.505-511

DOI:https://doi.org/10.7837/kosomes.2023.29.5.505

Tidal Level Prediction of Busan Port using Long Short-Term Memory

Hae Lim Kim, Yong-Ho Jeon, Jae-Hyung Park, Han-sam Yoon

Journal of the Korean Society of Marine Environment and safety :: Vol.28 No.4 pp.469-476

DOI:https://doi.org/10.7837/kosomes.2022.28.4.469

Preliminary Study on the Reproduction of Dissolved Oxygen Concentration in Jinhae Bay Based on Deep Learning Model

Seongsik Park, Kyunghoi Kim

Journal of the Korean Society of Marine Environment and safety :: Vol.28 No.2 pp.193-200

DOI:https://doi.org/10.7837/kosomes.2022.28.2.193

Diagnosis of Valve Internal Leakage for Ship Piping System using Acoustic Emission Signal-based Machine Learning Approach

Jung-Hyung Lee

Journal of the Korean Society of Marine Environment and safety :: Vol.28 No.1 pp.184-192

DOI:https://doi.org/10.7837/kosomes.2022.28.1.184

Fundamental Study on Algorithm Development for Prediction of Smoke Spread Distance Based on Deep Learning

Byeol Kim, Kwang-Il Hwang

Journal of the Korean Society of Marine Environment and safety :: Vol.27 No.1 pp.22-28

DOI:https://doi.org/10.7837/kosomes.2021.27.1.022

A Study on the Detection of Fallen Workers in Shipyard Using Deep Learning

Kyung-Min Park, Seon-Deok Kim, Cherl-O Bae

Journal of the Korean Society of Marine Environment and safety :: Vol.26 No.6 pp.601-605

DOI:https://doi.org/10.7837/kosomes.2020.26.6.601