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A forest fire prediction model based on cellular automata and machine learning
X Sun, N Li, D Chen, G Chen, C Sun, M Shi… - IEEe …, 2024 - ieeexplore.ieee.org
Forest fires constitute a widespread and impactful natural disaster, annually ravaging
millions of hectares of forests and posing a severe threat to human life and property …
millions of hectares of forests and posing a severe threat to human life and property …
Providing a method based on cellular automata for modeling the forest fire development in Golestan national park forests
In the present study, firstly, the effective factors of Golestan national park forests fire have
been identified. Then, by using these factors, forest fire development modeling is performed …
been identified. Then, by using these factors, forest fire development modeling is performed …
Modeling occurrence and the spread of forest fire using cellular automata approach (Case Study: Arasbaran protected area)
M Maleki, L Malekani… - Journal of Natural …, 2020 - jne.ut.ac.ir
Each year fire damages the natural environment remarkably. Cellular automata is a way of
modeling and simulating processes in the real world. We can take precautionary steps …
modeling and simulating processes in the real world. We can take precautionary steps …
Comparative study of basic and Bee Colony-optimized models cellular automation for prediction of wildfire spread.
As one of the most widely used models for fire spread simulation, cellular automata models
commonly require appropriate parameters and the optimized coefficients. The main aim of …
commonly require appropriate parameters and the optimized coefficients. The main aim of …
Presenting a Morphological Based Approach for Filtering The Point Cloud to Extract the Digital Terrain Model
The Digital terrain model is an important geospatial product used as the basis of many
practical projects related to geospatial information. Nowadays, a dense point cloud can be …
practical projects related to geospatial information. Nowadays, a dense point cloud can be …