Work

Data Augmentation for Rainfall Classification in Bogor and Palu Using SMOTE

Year: 2024

Type: conference-paper

Source: International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics (ICoABCD)

DOI: 10.1109/icoabcd63526.2024.10704551

Authors: Arbi Haza Nasution, Winda Monika

Institutions: Islamic University of Riau, Universitas Lancang Kuning

Language: English

Topic: Imbalanced Data Classification Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Climate action, Reduced inequalities

Open Access status: closed

Funder: Universitas Islam Negeri Syarif Hidayatullah Jakarta

OpenAlex ID: W4403278968

FWCI:

Cites: 25

Cited by:

Related to: 10