Name
Title | ||
|---|---|---|
The Rain Prediction in Australia Based Big Data Analysis and Machine Learning Technology |
Abstract | ||
|---|---|---|
To prevent wildfires, Australian meteorological data over a ten-year period were analysed to determine the days with the highest risk of uncontrolled fires using machine learning algorithms and statistical data. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CSIT52700.2021.9648691 | 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT) |
Keywords | DocType | Volume |
global warming,wildfires,Australia,machine learning,rain forecasting system,meteorological data,random forest algorithm,machine learning algorithm,statistical data | Conference | 1 |
ISSN | ISBN | Citations |
2766-3655 | 978-1-6654-4258-9 | 0 |
PageRank | References | Authors |
0.34 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bohdan Polishchuk | 1 | 0 | 0.34 |
| Andrii Berko | 2 | 0 | 1.01 |
| Lyubomyr Chyrun | 3 | 0 | 1.35 |
| Myroslava Bublyk | 4 | 5 | 1.49 |
| Vadim Schuchmann | 5 | 0 | 1.35 |