TY - GEN
T1 - Performance Analysis of Machine Learning Algorithms in Storm Surge Prediction
AU - Ian, Vai Kei
AU - Tse, Rita
AU - Tang, Su Kit
AU - Pau, Giovanni
N1 - Publisher Copyright:
Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Storm surge has recently emerged as a major concern. In case it occurs, we suffer from the damages it creates. To predict its occurrence, machine learning technology can be considered. It can help ease the damages created by storm surge, by predicting its occurrence, if a good dataset is provided. There are a number of machine learning algorithms giving promising results in the prediction, but using different dataset. Thus, it is hard to benchmark them. The goal of this paper is to examine the performance of machine learning algorithms, either single or ensemble, in predicting storm surge. Simulation result showed that ensemble algorithms can efficiently provide optimal and satisfactory result. The accuracy of prediction reaches a level, which is better than that of single machine learning algorithms.
AB - Storm surge has recently emerged as a major concern. In case it occurs, we suffer from the damages it creates. To predict its occurrence, machine learning technology can be considered. It can help ease the damages created by storm surge, by predicting its occurrence, if a good dataset is provided. There are a number of machine learning algorithms giving promising results in the prediction, but using different dataset. Thus, it is hard to benchmark them. The goal of this paper is to examine the performance of machine learning algorithms, either single or ensemble, in predicting storm surge. Simulation result showed that ensemble algorithms can efficiently provide optimal and satisfactory result. The accuracy of prediction reaches a level, which is better than that of single machine learning algorithms.
KW - Ensemble Machine Learning Algorithm
KW - Machine Learning
KW - Natural Disaster
KW - Storm Surge
UR - http://www.scopus.com/inward/record.url?scp=85141188013&partnerID=8YFLogxK
U2 - 10.5220/0011109400003194
DO - 10.5220/0011109400003194
M3 - Conference contribution
AN - SCOPUS:85141188013
T3 - International Conference on Internet of Things, Big Data and Security, IoTBDS - Proceedings
SP - 297
EP - 303
BT - IoTBDS 2022 - Proceedings of the 7th International Conference on Internet of Things, Big Data and Security
A2 - Bastieri, Denis
A2 - Wills, Gary
A2 - Kacsuk, Peter
A2 - Chang, Victor
PB - Science and Technology Publications, Lda
T2 - 7th International Conference on Internet of Things, Big Data and Security, IoTBDS 2022
Y2 - 22 April 2022 through 24 April 2022
ER -