A Comprehensive Review of Empirical and Dynamic Wildfire Simulators and Machine Learning Techniques used for the Prediction of Wildfire in Australia.
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| Title: | A Comprehensive Review of Empirical and Dynamic Wildfire Simulators and Machine Learning Techniques used for the Prediction of Wildfire in Australia. |
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| Authors: | Singh, Harikesh1,2, Harikesh@research.usc.edu.au, Ang, Li-Minn1, Paudyal, Dipak3, Acuna, Mauricio4, Srivastava, Prashant Kumar1,5, Srivastava, Sanjeev Kumar1, ssrivast@usc.edu.au |
| Source: | Technology, Knowledge & Learning; Jun2025, Vol. 30 Issue 2, p935-968, 34p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 185423352 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Comprehensive Review of Empirical and Dynamic Wildfire Simulators and Machine Learning Techniques used for the Prediction of Wildfire in Australia. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Singh%2C+Harikesh%22">Singh, Harikesh</searchLink><relatesTo>1,2</relatesTo>, <i>Harikesh@research.usc.edu.au</i><br /><searchLink fieldCode="AU" term="%22Ang%2C+Li-Minn%22">Ang, Li-Minn</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Paudyal%2C+Dipak%22">Paudyal, Dipak</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Acuna%2C+Mauricio%22">Acuna, Mauricio</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Srivastava%2C+Prashant+Kumar%22">Srivastava, Prashant Kumar</searchLink><relatesTo>1,5</relatesTo><br /><searchLink fieldCode="AU" term="%22Srivastava%2C+Sanjeev+Kumar%22">Srivastava, Sanjeev Kumar</searchLink><relatesTo>1</relatesTo>, <i>ssrivast@usc.edu.au</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Technology%2C+Knowledge+%26+Learning%22">Technology, Knowledge & Learning</searchLink>; Jun2025, Vol. 30 Issue 2, p935-968, 34p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185423352 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10758-025-09839-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 34 StartPage: 935 Titles: – TitleFull: A Comprehensive Review of Empirical and Dynamic Wildfire Simulators and Machine Learning Techniques used for the Prediction of Wildfire in Australia. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Singh, Harikesh – PersonEntity: Name: NameFull: Ang, Li-Minn – PersonEntity: Name: NameFull: Paudyal, Dipak – PersonEntity: Name: NameFull: Acuna, Mauricio – PersonEntity: Name: NameFull: Srivastava, Prashant Kumar – PersonEntity: Name: NameFull: Srivastava, Sanjeev Kumar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 22111662 Numbering: – Type: volume Value: 30 – Type: issue Value: 2 Titles: – TitleFull: Technology, Knowledge & Learning Type: main |
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