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1D Ice Shelf Hardness Inversion: Clustering Behavior and Collocation Resampling in Physics-Informed Neural Networks

by Iwasaki, Yunona, Lai, Ching-Yao
Published in Journal of Computational Physics (2023)
Subjects: “...Computer Science Applications...”

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2

Deep neural network based automatic grounding line delineation in DInSAR interferograms

by Ramanath Tarekere, Sindhu, Krieger, Lukas, Heidler, Konrad, Floricioiu, Dana
Published 2023
“... measurements to ground deformation has resulted in its application to grounding line location (GLL) mapping [3...”

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Ice-flow model emulator based on physics-informed deep learning

by Jouvet, Guillaume, Cordonnier, Guillaume
Published in Journal of Glaciology (2023)
Subjects: “...[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]...”

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Ice-flow model emulator based on physics-informed deep learning

by Jouvet, Guillaume, Cordonnier, Guillaume
Published in Journal of Glaciology (2023)
Subjects: “...[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]...”

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5

Ice-flow model emulator based on physics-informed deep learning

by Jouvet, Guillaume, Cordonnier, Guillaume
Published in Journal of Glaciology (2023)
Subjects: “...[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]...”

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6

Ice-flow model emulator based on physics-informed deep learning

by Jouvet, Guillaume, Cordonnier, Guillaume
Published in Journal of Glaciology (2023)
Subjects: “...[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]...”

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7

Ice-flow model emulator based on physics-informed deep learning

by Jouvet, Guillaume, Cordonnier, Guillaume
Published in Journal of Glaciology (2023)
Subjects: “...[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]...”

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8

Ice-flow model emulator based on physics-informed deep learning

by Jouvet, Guillaume, Cordonnier, Guillaume
Published in Journal of Glaciology (2023)
“...Abstract Convolutional neural networks (CNN) trained from high-order ice-flow model realisations...”

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9

Ice-flow model emulator based on physics-informed deep learning

by Guillaume Jouvet, Guillaume Cordonnier
Published in Journal of Glaciology
“...Convolutional neural networks (CNN) trained from high-order ice-flow model realisations have proven...”

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10

Mapping Antarctic crevasses and their evolution with deep learning applied to satellite radar imagery

by Surawy-Stepney, Trystan, Hogg, Anna E., Cornford, Stephen L., Hogg, David C.
Published in The Cryosphere (2023)
“... present an automated method of mapping crevasses on grounded and floating ice with the application...”

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11

Mapping Antarctic Crevasses and their Evolution with Deep Learning Applied to Satellite Radar Imagery

by Surawy-Stepney, Trystan, Hogg, Anna E., Cornford, Stephen L., Hogg, David C.
Published 2023
“... method of mapping crevasses on grounded and floating ice with the application of convolutional neural...”

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Mapping Antarctic crevasses and their evolution with deep learning applied to satellite radar imagery

by Surawy-Stepney, Trystan, Hogg, Anna E., Cornford, Stephen L., Hogg, David C.
Published in The Cryosphere (2023)
“... present an automated method of mapping crevasses on grounded and floating ice with the application...”

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13

Mapping Antarctic crevasses and their evolution with deep learning applied to satellite radar imagery

by T. Surawy-Stepney, A. E. Hogg, S. L. Cornford, D. C. Hogg
Published in The Cryosphere (2023)
“... present an automated method of mapping crevasses on grounded and floating ice with the application...”

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14

Predicting ocean-induced ice-shelf melt rates using deep learning

by Rosier, Sebastian H. R., Bull, Christopher Y. S., Woo, Wai L., Gudmundsson, G. Hilmar
Published in The Cryosphere (2023)
“... modelling framework is prohibitively computationally expensive. Here, we provide an alternative approach...”

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15

Mapping Antarctic crevasses and their evolution with deep learning applied to satellite radar imagery

by Surawy-Stepney, Trystan, Hogg, Anna e., Cornford, Stephen l., Hogg, David C.
Published in The Cryosphere (2023)
“... present an automated method of mapping crevasses on grounded and floating ice with the application...”

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