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UOB Libraries created the UOBScholar Hub, an Institutional Repository (IR) for archiving and collecting all the research output of the UOB community. It aims to improve the visibility, usage and impact of research conducted at UOB. Materials included are: academic journal articles, conference papers and presentations, books and book chapters, ongoing research papers, reports and patents.
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https://scholarhub.balamand.edu.lb/handle/uob/396| Title: | Artificial intelligence for forest fire prediction | Authors: | Sakr, George E Hajj, Imad H. El Mitri, George Wejinya, Uchechukwu C. |
Affiliations: | Institute of Environment | Keywords: | Support Vector Machine (SVM) Forestry |
Subjects: | Artificial intelligence Ecology Fires |
Issue Date: | 2011 | Publisher: | IEEE | Part of: | 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) | Conference: | IEEE/ASME International Conference on Advanced Intelligent Mechatronics (6-9 July 2010 : Montreal, QC, Canada, Canada) | Abstract: | Forest fire prediction constitutes a significant component of forest fire management. It plays a major role in resource allocation, mitigation and recovery efforts. This paper presents a description and analysis of forest fire prediction methods based on artificial intelligence. A novel forest fire risk prediction algorithm, based on support vector machines, is presented. The algorithm depends on previous weather conditions in order to predict the fire hazard level of a day. The implementation of the algorithm using data from Lebanon demonstrated its ability to accurately predict the hazard of fire occurrence. |
URI: | https://scholarhub.balamand.edu.lb/handle/uob/396 | Ezproxy URL: | Link to full text | Type: | Conference Paper |
| Appears in Collections: | Institute of the Environment |
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