Author:
Al_Janabi Samaher,Al_Shourbaji Ibrahim,Salman Mahdi A.
Subject
Computer Science Applications,Information Systems,Software
Reference65 articles.
1. W. Aertsen, V. Kint, J. Van Orshoven, K. Ozkan, B. Muys, Performance of modelling techniques for the prediction of forest site index: a case study for pine and cedar in the Taurus mountains. Turkey XIII World Forestry Congress, 2009, pp. 18–23.
2. Data construction using genetic programming method to handle data scarcity problem;Al-Bakary;Int. J. Adv. Comput. Technol.,2010
3. Estimating future burned areas under changing climate in the EU-Mediterranean countries;Amatulli;Sci. Total Environ.,2013
4. V.D. Anezakis, K. Demertzis, L. Iliadis, S. Spartalis, A hybrid soft computing approach producing robust forest fire risk indices, in: IFIP International Conference on Artificial Intelligence Applications and Innovations, Springer International Publishing, 2016, pp. 191–203.
5. T. Artés, A. Cencerrado, A. Cortés, T. Margalef, Time aware genetic algorithm for forest fire propagation prediction: exploiting multi-core platforms, Concurrency and Computation: Practice and Experience, 2016.
Cited by
71 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. A Comprehensive Machine Learning Approach for Accurate Forest Fire Forecasting;Advances in Computational Intelligence and Robotics;2024-05-31
2. An enhanced method for predicting and analysing forest fires using an attention-based CNN model;Journal of Forestry Research;2024-04-02
3. Predicting wildfire events with calibrated probabilities;Proceedings of the 2024 16th International Conference on Machine Learning and Computing;2024-02-02
4. Application of Artificial Neural Network in Wildfire Early Prediction Systems;WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT;2023-12-31
5. Forecasting Fire Using MobileNet Architecture;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22