Determination of C4.5 Algorithm Performance Based on Training Data and Testing Data in Determining Diseases in Rice Plants-Reference-Cited by-同舟云学术

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Determination of C4.5 Algorithm Performance Based on Training Data and Testing Data in Determining Diseases in Rice Plants

Published:2023-11-10 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference of Computer Science and Information Technology (ICOSNIKOM)
language:
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Author:

Siregar Rahmadani¹,Hartono ¹,Roslina ²,Zarlis Muhammad³,Wanayumini ¹

Affiliation:

1. Universitas Potensi Utama,Computer Science Postgraduate Study Program,Medan,Indonesia

2. Politeknik Negeri Medan,Computer Science Postgraduate Study Program,Medan,Indonesia

3. University of Bina Nusantara,Computer Science Postgraduate Study Program,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10364336/10364339/10364546.pdf?arnumber=10364546

Reference18 articles.

1. Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases

2. Plant diseases detection using artificial intelligence

3. Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods

4. Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review

5. Leaf disease identification and classification using optimized deep learning

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