Comparative Study of Classification Algorithms to Classify the Restoration Base on Burn Severity Level-Reference-Cited by-同舟云学术

Comparative Study of Classification Algorithms to Classify the Restoration Base on Burn Severity Level

Published:2021-11-16 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Computer Science and Engineering (IC2SE)
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Author:

Septiyani Septiyani¹,Susilowati Susilowati¹,Ranggadara Indra¹,Dwiasnati Saruni¹,Gunawan Wawan¹

Affiliation:

1. Mercu Buana University,Faculty of Computer Science,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9791459/9791467/09792015.pdf?arnumber=9792015

Reference19 articles.

1. Fire and burn severity assessment: Calibration of Relative Differenced Normalized Burn Ratio (RdNBR) with field data

2. Assessment of Burned Forest Area Severity and Postfire Regrowth in Chapada Diamantina National Park (Bahia, Brazil) Using dNBR and RdNBR Spectral Indices

3. Text Classification on Dataset of Marine and Fisheries Sciences Domain using Random Forest Classifier;ramayanti;International Journal of Computer Technology,2018

4. Random Forest Algorithm for Prediction of Precipitation

5. RFRSF: Employee Turnover Prediction Based on Random Forests and Survival Analysis

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1. Comparison of Feature Extraction to Test Dryness and Moisture Levels in Burned Restoration Areas Using Linear Discriminant Analysis;2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE);2023-02-16

2. Comparison of Classification Algorithm to Determine Potential Fishing Area Based on Coral Reefs;2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT);2022-11-22