Work

Predicting Sea Level Rise Using Artificial Intelligence: A Review

Year: 2023

Type: article

Source: Archives of Computational Methods in Engineering

DOI: 10.1007/s11831-023-09934-9

Authors: Nur Amira Afiza Bt Saiful Bahari, Ali Najah Ahmed, Kai Lun Chong, Vivien Lai, Yuk Feng Huang, Chai Hoon Koo, Jing Lin Ng, Ahmed El-Shafie

Institutions: Tun Hussein Onn University of Malaysia, Universiti Tenaga Nasional, Universiti Tunku Abdul Rahman Sungai Long Campus, Universiti Tunku Abdul Rahman, UCSI University, University of Malaya

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Industry, innovation and infrastructure

Open Access status: closed

Funder: Universiti Tunku Abdul Rahman

Award: G2186841943

OpenAlex ID: W4367367647

FWCI: 4.406

Cites: 94

Cited by: 57

Related to: 10