Machine Learning For Wave Forecasting

Machine Learning for Wave Forecasting is a computational methodology that applies machine learning algorithms to predict ocean wave characteristics by learning patterns from historical and real-time marine data, distinguishing it from traditional numerical wave forecasting through its data-driven, non-linear modeling approach.

195

Publications

11.1K

Citations

580

Authors

281

Institutions

Publications per year

2017–2026

146

Authors

580

  1. MC
    M. C. Deo

    Indian Institute of Technology Bombay, India

    6 publications · 971 citations

    6

    h-index

  2. LH
    Limin Huang

    Harbin Engineering University, China

    5 publications · 361 citations

    5

    h-index

  3. SL
    Shreenivas Londhe

    International Institute of Information Technology, India

    4 publications · 266 citations

    4

    h-index

  4. MA
    Mumtaz Ali

    University of Southern Queensland, Australia

    4 publications · 420 citations

    4

    h-index

  5. YX
    Yong Xiang

    Deakin University, Australia

    3 publications · 183 citations

    3

    h-index

1–5 of 580

Venues

  1. Ocean Engineering

    55 publications · 4.4K citations

    35

    h-index

  2. Journal of Marine Science and Engineering

    9 publications · 296 citations

    9

    h-index

  3. Applied Ocean Research

    7 publications · 474 citations

    7

    h-index

  4. Ocean Modelling

    6 publications · 400 citations

    6

    h-index

  5. Coastal Engineering

    6 publications · 315 citations

    6

    h-index

1–5