Machine Learning Solutions for Navigating Big Data from the Arctic and Antarctic

We are presenting several machine learning tools for tracking ice surface and bedrock, ice sheet stratigraphy, thickness estimation and also Arctic data simulation.

Bibliographic Details
Main Authors: Rahnemoonfar, Maryam, Yari, Masoud, Varshney, Debvrat, Paden, John
Format: Still Image
Language:unknown
Published: figshare 2021
Subjects:
Artificial Intelligence and Image Processing
FOS Computer and information sciences
Antarctic
Arctic
Antarc*
Ice Sheet
Online Access:https://dx.doi.org/10.6084/m9.figshare.14779401
https://figshare.com/articles/poster/Machine_Learning_Solutions_for_Navigating_Big_Data_from_the_Arctic_and_Antarctic/14779401
id ftdatacite:10.6084/m9.figshare.14779401
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.14779401 2023-05-15T14:00:17+02:00 Machine Learning Solutions for Navigating Big Data from the Arctic and Antarctic Rahnemoonfar, Maryam Yari, Masoud Varshney, Debvrat Paden, John 2021 https://dx.doi.org/10.6084/m9.figshare.14779401 https://figshare.com/articles/poster/Machine_Learning_Solutions_for_Navigating_Big_Data_from_the_Arctic_and_Antarctic/14779401 unknown figshare Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Artificial Intelligence and Image Processing FOS Computer and information sciences Image graphic Poster ImageObject 2021 ftdatacite https://doi.org/10.6084/m9.figshare.14779401 2021-11-05T12:55:41Z We are presenting several machine learning tools for tracking ice surface and bedrock, ice sheet stratigraphy, thickness estimation and also Arctic data simulation. Still Image Antarc* Antarctic Arctic Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Antarctic Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Artificial Intelligence and Image Processing
FOS Computer and information sciences
spellingShingle Artificial Intelligence and Image Processing
FOS Computer and information sciences
Rahnemoonfar, Maryam
Yari, Masoud
Varshney, Debvrat
Paden, John
Machine Learning Solutions for Navigating Big Data from the Arctic and Antarctic
topic_facet Artificial Intelligence and Image Processing
FOS Computer and information sciences
description We are presenting several machine learning tools for tracking ice surface and bedrock, ice sheet stratigraphy, thickness estimation and also Arctic data simulation.
format Still Image
author Rahnemoonfar, Maryam
Yari, Masoud
Varshney, Debvrat
Paden, John
author_facet Rahnemoonfar, Maryam
Yari, Masoud
Varshney, Debvrat
Paden, John
author_sort Rahnemoonfar, Maryam
title Machine Learning Solutions for Navigating Big Data from the Arctic and Antarctic
title_short Machine Learning Solutions for Navigating Big Data from the Arctic and Antarctic
title_full Machine Learning Solutions for Navigating Big Data from the Arctic and Antarctic
title_fullStr Machine Learning Solutions for Navigating Big Data from the Arctic and Antarctic
title_full_unstemmed Machine Learning Solutions for Navigating Big Data from the Arctic and Antarctic
title_sort machine learning solutions for navigating big data from the arctic and antarctic
publisher figshare
publishDate 2021
url https://dx.doi.org/10.6084/m9.figshare.14779401
https://figshare.com/articles/poster/Machine_Learning_Solutions_for_Navigating_Big_Data_from_the_Arctic_and_Antarctic/14779401
geographic Antarctic
Arctic
geographic_facet Antarctic
Arctic
genre Antarc*
Antarctic
Arctic
Ice Sheet
genre_facet Antarc*
Antarctic
Arctic
Ice Sheet
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.14779401
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