2022 review of data-driven plasma science
Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …
review article highlights the latest development and progress in the interdisciplinary field of …
Global geomagnetic perturbation forecasting using Deep Learning
Abstract Geomagnetically Induced Currents (GICs) arise from spatio‐temporal changes to
Earth's magnetic field, which arise from the interaction of the solar wind with Earth's …
Earth's magnetic field, which arise from the interaction of the solar wind with Earth's …
Automatic encoding of unlabeled two dimensional data enabling similarity searches: Electron diffusion regions and auroral arcs
Critically important phenomena in Earth's magnetosphere often occur briefly, or in small
spatial regions. These processes are sampled with orbiting spacecraft or by fixed ground …
spatial regions. These processes are sampled with orbiting spacecraft or by fixed ground …
A knowledge-sharing platform for space resources
M Da Silveira, L Deladiennee, E Scolan… - Data & Knowledge …, 2024 - Elsevier
The ever-increasing interest of academia, industry, and government institutions in space
resource information highlights the difficulty of finding, accessing, integrating, and reusing …
resource information highlights the difficulty of finding, accessing, integrating, and reusing …
Curator: Creating large-scale curated labelled datasets using self-supervised learning
T Narayanan, A Krishnan, A Koul, S Ganju - arXiv preprint arXiv …, 2022 - arxiv.org
Applying Machine learning to domains like Earth Sciences is impeded by the lack of labeled
data, despite a large corpus of raw data available in such domains. For instance, training a …
data, despite a large corpus of raw data available in such domains. For instance, training a …
Une plateforme de management des connaissances pour le domaine des ressources spatiales
C Pruski, L Deladiennée, E Scolan… - Extraction et Gestion …, 2023 - books.google.com
L'intérêt toujours croissant aussi bien du monde académique que de l'industrie et des
institutions gouvernementales pour les informations sur les ressources spatiales a mis en …
institutions gouvernementales pour les informations sur les ressources spatiales a mis en …
A Framework for Large Scale Semantic Similarity Search on Satellite Imagery
M Ramasubramanian, I Gurung… - IGARSS 2023-2023 …, 2023 - ieeexplore.ieee.org
Searching for Earth Science phenomena in large archives of Earth Observation Satellite
Imagery data requires elaborate processing and spatio-temporal indexing of the images into …
Imagery data requires elaborate processing and spatio-temporal indexing of the images into …
Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments
Due to the nature of their pathways, NASA Terra and NASA Aqua satellites capture imagery
containing swath gaps, which are areas of no data. Swath gaps can overlap the region of …
containing swath gaps, which are areas of no data. Swath gaps can overlap the region of …
Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments
Due to the nature of their pathways, NASA Terra and NASA Aqua satellites capture imagery
containing “swath gaps” which are areas of no data. Swath gaps can overlap the region of …
containing “swath gaps” which are areas of no data. Swath gaps can overlap the region of …