Reference Type | Journal (article/letter/editorial) |
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Title | Convolutive independent component analysis for processing massive datasets: a case study at Campi Flegrei (Italy) |
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Journal | Natural Hazards |
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Authors | Capuano, P. | Author |
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De Lauro, E. | Author |
De Martino, S. | Author |
Falanga, M. | Author |
Petrosino, S. | Author |
Year | 2017 (April) | Volume | 86 |
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Publisher | Springer Science and Business Media LLC |
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DOI | doi:10.1007/s11069-016-2545-0Search in ResearchGate |
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| Generate Citation Formats |
Mindat Ref. ID | 10355605 | Long-form Identifier | mindat:1:5:10355605:7 |
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GUID | 0 |
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Full Reference | Capuano, P., De Lauro, E., De Martino, S., Falanga, M., Petrosino, S. (2017) Convolutive independent component analysis for processing massive datasets: a case study at Campi Flegrei (Italy). Natural Hazards, 86. 417-429 doi:10.1007/s11069-016-2545-0 |
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Plain Text | Capuano, P., De Lauro, E., De Martino, S., Falanga, M., Petrosino, S. (2017) Convolutive independent component analysis for processing massive datasets: a case study at Campi Flegrei (Italy). Natural Hazards, 86. 417-429 doi:10.1007/s11069-016-2545-0 |
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In | (n.d.) Natural Hazards Vol. 86. Springer Science and Business Media LLC |
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