Wildfire Prediction Using Machine Learning

Chauhan, Jai Mahesh (2023) Wildfire Prediction Using Machine Learning. Masters thesis, Dublin, National College of Ireland.

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Abstract

This report discusses wildfire research methods, data collection, and analysis. This study covers ecological, meteorological, and economic aspects of wildfire studies. It helps students plan, perform, and comprehend research assignments. The guidebook emphasizes cross-disciplinary collaboration in environmental studies, geography, and computer science. It encourages wildfire awareness and imaginative solutions. Finally, the report advances wildfire research significantly. By providing a comprehensive pathway, learners can make significant contributions to wildfire reduction and control, advancing the field. Students can improve wildfire reduction and control with this comprehensive guide. Its systematic approach prepares a new generation of scholars to tackle wildfires’ complex challenges.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Haque, Rejwanul UNSPECIFIED
Additional Information:	Wildfire Prediction; Tuning Hyperparameter; Machine learning; Feature Engineering; Model Selection; CNN
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	08 Nov 2024 12:53
Last Modified:	08 Nov 2024 12:53
URI:	https://norma.ncirl.ie/id/eprint/7174

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