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Your search for Keyword "grains"resulted in 5 records.

Title: AUTOMATIC IDENTIFICATION OF SNOW GRAINS USING ARTIFICIAL NEURAL NETWORKS
Date: 2023-10-08
Authors: Marc J. Rubin
Description: In this feasibility study, we apply methodologies from computer vision and machine learning to automatically identify microscopic images of snow grain...
Object ID: ISSW2023_P3.45.pdf
Keywords: machine learning, snow grains, facets, rounds
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Title: Description of the Snow Microstructure as a 3D Assembly of Grains
Date: 2013-10-07
Authors: Pascal Hagenmuller, Guillaume Chambon, Frédéric Flin, Xi Wang, Bernard Lesaffre, Mohamed Naaim
Description: The concept of snow grain is commonly used in the snow community, either in situ to identify the snow type or in numerical models to reproduce the phy...
Object ID: ISSW13_paper_P4-22.pdf
Keywords: snow, microstructure, grains, segmentation, bonds, mechanics
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Title: Photography of Snow Grains in the Field
Date: 2008-09-22
Authors: Mr. Shinji Ikeda
Description: Have you ever been in doubt about how to distinguish snow grains? Have you ever wanted to record snow grains' images? This is possible by using the co...
Object ID: P__8207.pdf
Keywords: snow grains, photography method, collimate method, field observation
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Title: Implementation of Depth Hoar Factor into the Snowpack Model
Date: 2008-09-22
Authors: Hiroyuki Hirashima, Osamu Abe, Atsushi Sato, Michael Lehning
Description: In the SNOWPACK model, shear strength has been estimated as a function of the snow density using expressions depending on grain types. Therefore, the ...
Object ID: P__8025.pdf
Keywords: snowpack model, faceted crystals, rounded grains, shear strength
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Title: Sintering of Unequal Grains
Date: 2000
Authors: S.C. Colbeck
Description: Extended Abstract: The bonds are of fundamental importance in snow, and my photographs (J. Appl. Phys. 84, 4585, 1998) of the bonds in snow clearly sh...
Object ID: issw-2000-238.pdf
Keywords: sintering, grains
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