2024 journal article

Prediction of wave runup on beaches using interpretable machine learning

OCEAN ENGINEERING, 297.

By: T. Kim & W. Lee

author keywords: Wave runup; Interpretable machine learning; XGBoost; Support vector machine; Beaches
Source: Web Of Science
Added: April 29, 2024

2023 article

Experimental Investigations Using Computer Vision for Debris Motion Generated by Solitary Waves

Kim, T., Hwang, T., Baek, S., Hong, S., Kim, J., & Lee, W.-D. (2023, June 16). JOURNAL OF EARTHQUAKE AND TSUNAMI.

By: T. Kim n, T. Hwang*, S. Baek*, S. Hong*, J. Kim & W. Lee*

author keywords: Computer vision; debris motion; revetment type; solitary wave; shipping container
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: July 3, 2023

2023 journal article

Experimental analysis of Tsunami-Current interaction in river channel

ESTUARINE COASTAL AND SHELF SCIENCE, 291.

By: W. Lee*, N. Mizutani* & T. Kim

author keywords: Tsunami -current interaction; River mouth; River current; Wave amplification; Dispersion relation
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
Source: Web Of Science
Added: February 12, 2024

2023 article

Prediction of wave overtopping discharges at coastal structures using interpretable machine learning

Kim, T., & Lee, W.-D. (2023, July 12). COASTAL ENGINEERING JOURNAL.

By: T. Kim* & W. Lee n

author keywords: overtopping; prediction; machine learning; feature engineering; coastal engineering
TL;DR: A data-based model can be a new alternative for analyzing the complex physical relationships in the field of coastal engineering and used as a starting point toward structure design and development for coastal disaster prevention. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
Source: Web Of Science
Added: July 31, 2023

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