eprintid: 11329
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/13/29
datestamp: 2023-11-10 03:25:50
lastmod: 2023-11-10 03:25:50
status_changed: 2023-11-10 01:15:00
type: conference_item
metadata_visibility: show
creators_name: Umair, M.
creators_name: Hashmani, M.A.
creators_name: Hasan, M.H.B.
title: Survey of Sea Wave Parameters Classification and Prediction using Machine Learning Models
ispublished: pub
keywords: Artificial intelligence; Classification (of information); Forecasting; Natural gas transportation; Oils and fats; Petroleum transportation; Surface waters; Surface waves; Surveys, Machine classifications; Marine datasets; Peak Spectral Period; Sea waves; Significant wave height; Wave period, Water waves
note: cited By 7; Conference of 1st International Conference on Artificial Intelligence and Data Sciences, AiDAS 2019 ; Conference Date: 19 September 2019; Conference Code:157266
abstract: Sea has always played a pivotal role in human life. It formulates the weather, provides transportation medium, food, natural resources like oil and gas, and much more. Countless commercial and industrial activities take place on the surface of the sea, thus understanding, classifying and predicting the sea surface wave is a topic of great interest. Many numerical models (NM) have been proposed to model the behavior of sea waves, however, they are complex and costly for site-specific studies. On the other hand, data-driven machine learning (ML) models have recently proved to be an effective solution for site-specific classification, real-time or near-future prediction problems. The ML approach utilizes marine datasets to train, test and validate the model. In this paper, we present a survey of ML studies on the topic of classification and prediction of sea wave parameters. We hope that this paper provides a holistic model-based view to new researchers and pave the path for future research. © 2019 IEEE.
date: 2019
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079353118&doi=10.1109%2fAiDAS47888.2019.8970706&partnerID=40&md5=771e5927f59ccee36e63d7f736eaeda3
id_number: 10.1109/AiDAS47888.2019.8970706
full_text_status: none
publication: Proceedings - 2019 1st International Conference on Artificial Intelligence and Data Sciences, AiDAS 2019
pagerange: 1-6
refereed: TRUE
isbn: 9781728130415
citation:   Umair, M. and Hashmani, M.A. and Hasan, M.H.B.  (2019) Survey of Sea Wave Parameters Classification and Prediction using Machine Learning Models.  In: UNSPECIFIED.