Real-Time Active Fire Detection in the Pantanal Biome, Brazil, Using Convolutional Neural Networks.

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Title: Real-Time Active Fire Detection in the Pantanal Biome, Brazil, Using Convolutional Neural Networks.
Authors: da Costa, Daniel Cabral1, danicabral_costa@hotmail.com, Batista, Leonardo Vidal2, leonardo@ci.ufpb.br, da Silva, Richarde Marques3, richarde@geociencias.ufpb.br, Santos, Celso Augusto Guimarães1, celso@ct.ufpb.br
Source: Fire Technology; Sep2025, Vol. 61 Issue 5, p3219-3240, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187782221
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      – Type: doi
        Value: 10.1007/s10694-025-01722-0
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 3219
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      – TitleFull: Real-Time Active Fire Detection in the Pantanal Biome, Brazil, Using Convolutional Neural Networks.
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            NameFull: da Costa, Daniel Cabral
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            NameFull: Batista, Leonardo Vidal
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            NameFull: da Silva, Richarde Marques
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              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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              Value: 61
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