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Byungho Kang
Observed name:
Kang, Byungho
Institutions:
Korea Maritime and Ocean University,
Korea Institute of Energy Research
Observed institutions:
Korea Maritime and Ocean University,
Korea Institute of Energy Research,
University of Houston,
Texas A&M University
ORCID:
0000-0002-0750-4389
Observed ORCID:
0000-0002-0750-4389
OpenAlex ID:
A5064690627
Interpretable prediction of floating offshore wind turbine dynamic Responses: An attention-based deep learning approach
2025
·
Byungho Kang
, Semyung Park
, et al.
·
Ocean Engineering
·
17
Stochastic properties of coastal flooding events – Part 1: convolutional-neural-network-based semantic segmentation for water detection
2024
·
Byungho Kang
, Rusty Feagin
, et al.
·
Earth Surface Dynamics
·
13
PDF
The Application of CNN-Based Image Segmentation for Tracking Coastal Erosion and Post-Storm Recovery
2023
·
Byungho Kang
, Orencio Duran Vinent
·
Remote Sensing
·
11
PDF
Stochastic properties of coastal flooding events – Part 2: Probabilistic analysis
2024
·
Byungho Kang
, Rusty Feagin
, et al.
·
Earth Surface Dynamics
·
9
PDF
Feasibility investigation of tuned mass damper for vibration control of curved floating bridge in winds and waves
2024
·
Chungkuk Jin
, Sewon Kim
, et al.
·
Applied Ocean Research
·
7
Land subsidence, sea level rise, and enhanced tidal intrusion: unveiling the land loss and nuisance flooding potential in the Barataria Basin, Louisiana
2023
·
Byungho Kang
, Surui Xie
·
1
Mooring Tendon Dynamic Tension Estimation in a 15 MW TLP-Type FOWT: A Comparison of Self-Attention, LSTM, and GRU Networks
2026
·
Seung Mo Kim
, Byungho Kang
, et al.
·
Journal of Marine Science and Engineering
Land subsidence, sea level rise, and enhanced tidal intrusion: unveiling the land loss and nuisance flooding potential in the Barataria Basin, Louisiana
2023
·
Byungho Kang
, Surui Xie
PDF
Stochastic properties of coastal flooding events -- Part 1: CNN-based semantic segmentation for water detection
2023
·
Kang, Byungho
, Feagin, Rusty
, et al.
·
EarthArXiv (California Digital Library)
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Works count:
10
Citation count:
58
H-index:
5
I10-index:
3
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