Comparison of Diverse Machine Learning Algorithms for Forest Fire Susceptibility Mapping in Antalya, Türkiye

Yerel katalogda bu makaleye atıf yapan 13 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

1. SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of Contributing Factors in Izmir, Türkiye 2024 Atıf 54 · OpenAlex
2. SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of Contributing Factors in Izmir, Türkiye 2024 Atıf 54 · OpenAlex
3. Investigating the Effects of Different Data Classification Methods on Landslide Susceptibility Mapping 2025 Atıf 19 · OpenAlex
4. Investigating the effects of different data classification methods on landslide susceptibility mapping 2025 Atıf 19 · OpenAlex
5. An innovative hybrid method utilizing fused transformer-based deep features and deep neural networks for detecting forest fires 2025 Atıf 11 · OpenAlex
6. A novel approach for earthquake spatial probability modeling by integration of geodetic strain into explainable artificial intelligence (XAI) 2026 Atıf 6 · OpenAlex
7. A novel approach for earthquake spatial probability modeling by integration of geodetic strain into explainable artificial intelligence (XAI) 2026 Atıf 6 · OpenAlex
8. A novel approach for earthquake spatial probability modeling by integration of geodetic strain into explainable artificial intelligence (XAI) 2026 Atıf 6 · OpenAlex
9. A GIS-Based Multicriteria Approach to Identifying Suitable Forest Depot Sites: A Case Study from Northern Türkiye 2026 Atıf 1 · OpenAlex
10. Gümüşhane’nin Heyelan Duyarlılığının Makine Öğrenmesi Algoritmaları Kullanılarak Değerlendirilmesi 2026 Atıf 1 · OpenAlex