Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Accuracy | 1 |
| Algorithms | 1 |
| Artificial Intelligence | 1 |
| Computer Simulation | 1 |
| Computer Software | 1 |
| Emergency Programs | 1 |
| Fire Protection | 1 |
| Foreign Countries | 1 |
| Models | 1 |
| Natural Disasters | 1 |
| Prediction | 1 |
| More ▼ | |
Source
| Technology, Knowledge and… | 1 |
Author
| Dipak Paudyal | 1 |
| Harikesh Singh | 1 |
| Li-Minn Ang | 1 |
| Mauricio Acuna | 1 |
| Prashant Kumar Srivastava | 1 |
| Sanjeev Kumar Srivastava | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
| Australia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Harikesh Singh; Li-Minn Ang; Dipak Paudyal; Mauricio Acuna; Prashant Kumar Srivastava; Sanjeev Kumar Srivastava – Technology, Knowledge and Learning, 2025
Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…
Descriptors: Artificial Intelligence, Computer Software, Computer Simulation, Prediction

Peer reviewed
Direct link
