Work

Data-Driven Modelling For Tsunami Forecasting Using Computational Intelligence

Year: 2022

Type: conference-paper

Source: IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom)

DOI: 10.1109/cyberneticscom55287.2022.9865565

Authors: Michael Siek, Alfriyadi Rafles

Institution: Binus University

Language: English

Topic: Earthquake and Tsunami Effects

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: Research Promotion and Technology Transfer Center

Award: G5744995072

OpenAlex ID: W4293868550

FWCI: 7.73

Cites: 21

Cited by: 9

Related to: 10