Vol. 5 (2025): Information Sciences with Applications | Information Sciences with Applications

Published: 01-01-2025

Ensemble RF-KNN Model for Accurate Prediction of Drought Levels

Walid Abdullah, Nebojsa Bacanin, K Venkatachalam (Author)

1-10

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DOI: https://doi.org/10.61356/j.iswa.2025.5466

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Journal Information

Publisher's Name: Sciences Force LLC
Abbreviation: Information Sci. Appl.
Established: 2023
Frequency: Quarterly
Language: English
Review process: Double-blind
Plagiarism screening: iThenticate
Open access: Yes
Article Processing Charge: No
Copyright: CC-BY 4.0
Acceptance rate: 19%
Submission to Instant Decision: 7 days
Submission to First Decision: 10 weeks
Submission to Acceptance: 19 weeks
Acceptance to Online Publication: 5 days
eISSN: 2997-0873
pISSN: 2997-0865
DOI: 10.61356/j.iswa

Content Types

[1] Research Article
[2] Review Article
[3] Analysis Article
[4] Mini-Review Article
[5] Perspective*
[6] Correspondence*
[7] Comment*

Keywords

Volumes

Vol. 1 (2024): Information Sciences with Applications
Vol. 2 (2024): Information Sciences with Applications
Vol. 3 (2024): Information Sciences with Applications
Vol. 4 (2024): Information Sciences with Applications
Vol. 5 (2025): Information Sciences with Applications

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Submitting papers to the journal implies accepting all terms and conditions of the journal. This journal is licensed under a Creative Common Attribute 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

Original Articles

Ensemble RF-KNN Model for Accurate Prediction of Drought Levels