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Comparative Study of Fish Detection and Classification Performance Using the YOLOv8-Seg Model
Journal of the Korean Society of Marine Environment and safety :: Vol.30 No.2 pp.147-156
DOI:https://doi.org/10.7837/kosomes.2024.30.2.147
Open abstract -
Study on the Selection of Optimal Operation Position Using AI Techniques
Journal of the Korean Society of Marine Environment and safety :: Vol.29 No.6 pp.681-687
DOI:https://doi.org/10.7837/kosomes.2023.29.6.681
Open abstract -
A Study on the Generation of Fouling Organism Information Based Aids to Navigation
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
Open abstract -
Study on the Prediction of Motion Response of Fishing Vessels using Recurrent Neural Networks
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
Open abstract -
Tidal Level Prediction of Busan Port using Long Short-Term Memory
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
Open abstract -
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
Open abstract -
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
Open abstract -
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
Open abstract -
A Study on the Detection of Fallen Workers in Shipyard Using Deep Learning
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
Open abstract