Creation of wildfire susceptibility maps in the Mediterranean Region (Turkey) using convolutional neural networks and multilayer perceptron techniques-Reference-Cited by-同舟云学术

Creation of wildfire susceptibility maps in the Mediterranean Region (Turkey) using convolutional neural networks and multilayer perceptron techniques

Published:2023-06 Issue: Volume:538 Page:121006
ISSN:0378-1127
Container-title:Forest Ecology and Management
language:en
Short-container-title:Forest Ecology and Management

Author:

Gürsoy Mehmet İsmail,Orhan Osman,Tekin Senem

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference39 articles.

1. GIS-based gully erosion susceptibility mapping: a comparison among three data-driven models and AHP knowledge-based technique;Arabameri;Environ. Earth Sci.,2018

2. Yazılım hata tahmininde kullanılan metriklerin karar ağaçlarındaki bilgi kazançlarının incelenmesi ve iyileştirilmesi;Aydilek;Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi,2018

3. Quantifying the risk of wildfire ignition by power lines under extreme weather conditions;Bayani;IEEE Syst. J.,2022

4. Coğrafi Bilgi Sistemleri Kullanarak Burdur İli Orman Yangını Risk Alanlarının Belirlenmesi;Bingöl;Turkish Journal of Forest Science,2017

5. Booth, G.D., Niccolucci, M.J., Schuster, E.G., 1994. Identifying proxy sets in multiple linear regression: an aid to better coefficient interpretation. Research paper INT (USA).

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of a hybrid fuzzy inference system to map the susceptibility to fires;Natural Hazards;2024-08-14

2. Comparison of diverse machine learning algorithms for forest fire susceptibility mapping in Antalya, Türkiye;Advances in Space Research;2024-07

3. Forest fire susceptibility mapping based on precipitation-constrained cumulative dryness status information in Southeast China: A novel machine learning modeling approach;Forest Ecology and Management;2024-04

4. A study on improving energy flexibility in building engineering through generalized prediction models: Enhancing local bearing capacity of concrete for engineering structures;Engineering Structures;2024-03

5. Prediction of Fire Occurrences Based on Multi-layer Perceptron Using Social Indicators;Fire Science and Engineering;2024-02-28