Work

Identifying Difficult Quran Verses Using SVM, LSTM, and CNN

Year: 2024

Type: conference-paper

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

DOI: 10.1109/icoabcd63526.2024.10704332

Authors: Annisa Azka Pambudi, Kemas Muslim Lhaksmana

Institution: Telkom University

Language: English

Topic: Text and Document Classification Technologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4403278637

FWCI: 0.294

Cites: 18

Cited by: 1

Related to: 10