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Spatiotemporal attention ConvLSTM networks for predicting and physically interpreting wildfire spread
Arif Masrur,
Manzhu Yu
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Research output
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Chapter in Book/Report/Conference proceeding
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Chapter
5
Scopus citations
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Dive into the research topics of 'Spatiotemporal attention ConvLSTM networks for predicting and physically interpreting wildfire spread'. Together they form a unique fingerprint.
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Earth and Planetary Sciences
United States
100%
Percolation
100%
Vegetation Dynamics
100%
Fire Management
100%
Keyphrases
Forest Fire Spread
100%
Spatio-temporal Attention
100%
Fire Front
20%
Integrated Gradients
20%
Front Movement
20%
Billion-dollar Disasters
20%
Fire Progression
20%
Mathematics
Lstm
100%
Interpretability
50%
Time Evolution
50%
Biochemistry, Genetics and Molecular Biology
Vegetation Dynamics
50%