Conference Agenda

Session
5.5: Machine Learning and AI (1)
Time:
Tuesday, 10/Sept/2024:
9:45am - 10:45am

Session Chair: Giovanni Coco
 Location: Room E - INDIANUS

First floor of Pontificia Università Gregoriana - Piazza della Pilotta, 4

Presentations
9:45am - 10:00am

Predicting one-day ahead wave heights using a hybrid model of long-short term memory and artificial neural network with resampling methods

Ryota Kobayashi1, Sooyoul Kim1, Hajime Mase2, Ken Watanabe3

1Kumamoto University, Japan; 2Kyoto University, Japan; 3Hydro Technology Institute Co., Ltd., Japan

359-Kobayashi-Predicting one-day ahead wave heights using a hybrid model.pdf

10:00am - 10:15am

Analysis of rip current generation using AI-based detection data

Toshinori Ishikawa, Ryo Shimada, Tsutomu Komine

Chuo University, Japan

564-Ishikawa-Analysis of rip current generation using AI-based detection data.pdf

10:15am - 10:30am

Application of deep learning to unravel nonlinearity in wave breaking using wave flume video images

Miyoung Yun1, Kideok Do1, Jinah Kim2, Tae-Soon Kang3

1Korea Maritime & Ocean University, Korea, Republic of (South Korea); 2Korea Institute of Ocean Science and Technology; 3GeoSystem Research Corp

574-Yun-Application of deep learning to unravel nonlinearity.pdf

10:30am - 10:45am

Efficient wave condition predictions for coastal structures based on machine learning and phase-resolving numerical simulations

Widar Weizhi Wang1, Konstantinos Christakos2, Hans Bihs1

1Norwegian University of Science and Technology; 2Norwegian Meteorological Institute

585-Wang-Efficient wave condition predictions for coastal structures based.pdf