Understanding the Dynamics of Ocean Wave-Current Interactions Through Multivariate Multi-Step Time Series Forecasting-Reference-Cited by-同舟云学术

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Understanding the Dynamics of Ocean Wave-Current Interactions Through Multivariate Multi-Step Time Series Forecasting

Published:2024-08-19 Issue:1 Volume:38 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Lawal Zaharaddeeen Karami¹²^ORCID,Yassin Hayati¹³,Teck Ching Lai Daphne³⁴,Che Idris Azam¹

Affiliation:

1. Faculty of Integrated Technologies, Universiti Brunei Darussalam, Gadong, Brunei

2. Department of Computer Science, Federal University Dutse, Dutse, Nigeria

3. School of Digital Science, Universiti Brunei Darussalam, Gadong, Brunei

4. Institute of Applied Data Analytics (IADA), Universiti Brunei Darussalam, Gadong, Brunei

Funder

Universiti Brunei Darussalam, Brunei

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2393978

Reference68 articles.

1. A Deep Learning Approach for Wave Forecasting Based on a Spatially Correlated Wind Feature, with a Case Study in the Java Sea, Indonesia

2. Systematization of short-term forecasts of regional wave heights using a machine learning technique and long-term wave hindcast

3. Improving Prediction of Chronic Kidney Disease Using KNN Imputed SMOTE Features and TrioNet Model

4. Study of interaction between wave-current and the horizontal cylinder located near the free surface

5. Data-driven, high resolution ocean wave forecasting and extreme wave predictions

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