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1

Recommendations for an Arctic Research Program in Support of the Design of a Surface-Effect Vehicle System.

Published 1970
Subjects: “...*GROUND EFFECT MACHINES...”

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2

POLAR CONSTRUCTION EQUIPMENT - DRILLING TESTS IN ICE AND ICE-ROCK CONGLOMERATE.

by Hoffman, Clark R., Moser, Earl H., Jr
Published 1967
Subjects: “...(*DRILLING MACHINES...”

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3

Sea-Ice Removal Techniques for Winter Quarters Bay, Antarctica.

by Brier,F. W., Vaudrey,K. D.
Published 1975
Subjects: “...Machines...”

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4

Model Analysis of Vehicle Trafficability with Application to Surface Effect Vehicles on Sea Ice Fields

by Smith, Martin, Nakano, Yoshisuke
Published 1972
Subjects: “...*GROUND EFFECT MACHINES...”

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5

Subsea Trenching in the Arctic

by Mellor,Malcolm
Published 1981
Subjects: “...Trenching machines...”

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6

Sea Spray Icing of Drilling and Production Platforms

by Jones, Kathleen F., Andreas, Edgar L.
Published 2009
Subjects: “...DRILLING MACHINES...”

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7

Onboard classifiers for science event detection on a remote sensing spacecraft

by Castano, Rebecca, Mazzoni, Dominic, Tang, Nghia, Greeley, Ron, Doggett, Thomas, Cichy, Ben, Chien, Steve, Davies, Ashley
Published 2006
Subjects: “...Support Vector Machine (SVM)...”

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Report
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8

Triaxial Testing of First-Year Sea Ice

by Richter-Menge,J A, Cox,G F, Perron,N, Durell,G, Bosworth,H W
Published 1986
Subjects: “...MACHINES...”

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9

Young arctic frazil sea ice: field and laboratory strength tests

by Sinha, N. K.
Published 1986
Subjects: “...closed-loop controlled test machines...”

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Article in Journal/Newspaper
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10

Deep learning can correct model errors from the subgrid-scale for sea-ice dynamics

by Finn, Tobias, Durand, Charlotte, Farchi, Alban, Bocquet, Marc, Chen, Yumeng, Carrassi, Alberto, Dansereau, Véronique
Published 2023
Subjects: “...machine learning...”

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Conference Object
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11

Joint Characterization of the Cryospheric Spectral Feature Space

by Small, Christopher, Sousa, Daniel
Published 2021
Subjects: “...Statistics - Machine Learning...”

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12

Hybrid modelling with deep learning for improved sea-ice forecasting

by Finn, Tobias, Durand, Charlotte, Farchi, Alban, Bocquet, Marc, Chen, Yumeng, Carrassi, Alberto, Dansereau, Véronique, Òlason, Einar
Published 2023
Subjects: “...machine learning...”

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Conference Object
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13

Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks

by Driscoll S., Carrassi A., Brajard J., Bertino L., Bocquet M., Olason E. O.
Published in Journal of Computational Science (2024)
Subjects: “...Machine Learning...”

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Article in Journal/Newspaper
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14

Melt pond from aerial photographs of the Healy–Oden Trans Arctic Expedition (HOTRAX)

by Ivan Sudakow, Vijayan Asari, Ruixu Liu, Denis Demchev
Published 2022
Subjects: “...machine learning...”

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Dataset
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15

Sea ice type classification in the Chukchi sea using deep learning

by Vahedi, Behzad, Karimzadeh, Morteza, Khalsa, Siri Jodha, Meier, Walt, Barret, Andrew, Lucas, Benjamin, Banaei-Kashani, Farnoush
Published 2021
Subjects: “...170203 Knowledge Representation and Machine Learning...”

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Still Image
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16

Sea ice type classification in the Chukchi sea using deep learning

by Vahedi, Behzad, Karimzadeh, Morteza, Khalsa, Siri Jodha, Meier, Walt, Barret, Andrew, Lucas, Benjamin, Banaei-Kashani, Farnoush
Published 2021
Subjects: “...170203 Knowledge Representation and Machine Learning...”

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17

Automated Extraction of Glacial Features using Deep Learning

by Cheng, Daniel Lop-Chi
Published 2021
Subjects: “...Machine Learning...”

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Other/Unknown Material
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18

A neural network-based method for satellite-based mapping of sediment-laden sea ice in the Arctic

by Waga, Hisatomo, Eicken, Hajo, Light, Bonnie, Fukamachi, Yasushi
Published in Remote Sensing of Environment
Subjects: “...Machine learning...”

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Article in Journal/Newspaper
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19

Retrieval of Sea Surface Wind Speed from Spaceborne SAR over the Arctic Marginal Ice Zone with a Neural Network

by Xiao-Ming Li, Tingting Qin, Ke Wu
Published in Remote Sensing (2020)
Subjects: “...machine learning...”

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20

Extended-range arctic sea ice forecast with convolutional long short-Term memory networks

by Liu, Yang, Bogaardt, Laurens, Attema, Jisk, Hazeleger, Wilco
Published in Monthly Weather Review (2021)
Subjects: “...Machine learning...”

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Article in Journal/Newspaper