GIS-Based Disaster Management using Support Vector Machine Model for Hazard Level Classification in Disaster Areas
Author:
Affiliation:
1. Politeknik Elektronika Negeri Surabaya (PENS),Department of Electrical Engineering,Surabaya,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10242388/10242392/10242594.pdf?arnumber=10242594
Reference11 articles.
1. Comparison of Accuracy Level of Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) Algorithms in Predicting Heart Disease
2. IoT Based Climate Prediction System Using Long Short-Term Memory (LSTM) Algorithm as Part of Smart Farming 4.0
3. Supervised Learning Algorithm: SVM with Advanced Kernel to classify Lower Back Pain
4. Web-based geographic information system for school mapping and disaster mitigation
5. Employing Machine Learning with Optimized SVM Parameter to Detect Water Pipe Leakage
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