Predicting ground vibration during rock blasting using relevance vector machine improved with dual kernels and metaheuristic algorithms
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Predicting ground vibration during rock blasting using relevance vector machine improved with dual kernels and metaheuristic algorithms ; volume:14 ; number:1 ; day:28 ; month:8 ; year:2024 ; pages:1-30 ; date:12.2024
Scientific reports ; 14, Heft 1 (28.8.2024), 1-30, 12.2024
- Creator
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Fissha, Yewuhalashet
Khatti, Jitendra
Ikeda, Hajime
Grover, Kamaldeep Singh
Owada, Narihiro
Toriya, Hisatoshi
Adachi, Tsuyoshi
Kawamura, Youhei
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-70939-w
- URN
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urn:nbn:de:101:1-2411132117442.924531297217
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:32 AM CEST
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Associated
- Fissha, Yewuhalashet
- Khatti, Jitendra
- Ikeda, Hajime
- Grover, Kamaldeep Singh
- Owada, Narihiro
- Toriya, Hisatoshi
- Adachi, Tsuyoshi
- Kawamura, Youhei
- SpringerLink (Online service)
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Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm
Blasting
The vibration propagation and damage distribution characteristics of deep-buried underground cavern blasting
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Assessment of the ground vibration during blasting in mining projects using different computational approaches
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Analysis of vibration signals near ground surface during blasting excavation of a tunnel in fractured rock
Memorandum on boring and blasting
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