Results 11 to 20 of about 34,370,538 (356)

Generative hypergraph models and spectral embedding

open access: yesScientific Reports, 2023
Many complex systems involve interactions between more than two agents. Hypergraphs capture these higher-order interactions through hyperedges that may link more than two nodes.
Xue Gong   +2 more
doaj   +5 more sources

Comparison of Imaging Models for Spectral Unmixing in Oil Painting

open access: yesSensors, 2021
The radiation captured in spectral imaging depends on both the complex light–matter interaction and the integration of the radiant light by the imaging system.
Federico Grillini   +2 more
doaj   +3 more sources

Solving High-Dimensional PDEs with Latent Spectral Models [PDF]

open access: yesInternational Conference on Machine Learning, 2023
Deep models have achieved impressive progress in solving partial differential equations (PDEs). A burgeoning paradigm is learning neural operators to approximate the input-output mappings of PDEs.
Haixu Wu   +4 more
semanticscholar   +1 more source

Computational Technology for the Basis and Coefficients of Geodynamo Spectral Models in the Maple System

open access: yesMathematics, 2023
Spectral models are often used in the study of geodynamo problems. Physical fields in these models are presented as stationary basic modes combinations with time-dependent amplitudes. To construct a model it is necessary to calculate the modes parameters,
Gleb Vodinchar, Liubov Feshchenko
doaj   +1 more source

Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview

open access: yesRemote Sensing, 2022
There is a need to update soil maps and monitor soil organic carbon (SOC) in the upper horizons or plough layer for enabling decision support and land management, while complying with several policies, especially those favoring soil carbon storage.
Emmanuelle Vaudour   +11 more
doaj   +1 more source

SpectralGPT: Spectral Remote Sensing Foundation Model [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
The foundation model has recently garnered significant attention due to its potential to revolutionize the field of visual representation learning in a self-supervised manner.
D. Hong   +13 more
semanticscholar   +1 more source

Improved generalization of spectral models associated with Vis-NIR spectroscopy for determining the moisture content of different tea leaves

open access: yes, 2021
Rapid nondestructive determination of the moisture content of tea leaves is the basis of intelligent control in tea processing. Visible and near infrared (Vis/NIR) spectroscopy can detect the fundamental vibrations of hydrogen group (O–H) in the organic ...
Zhen-Xiong Huang   +7 more
semanticscholar   +1 more source

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery [PDF]

open access: yesNeural Information Processing Systems, 2022
Unsupervised pre-training methods for large vision models have shown to enhance performance on downstream supervised tasks. Developing similar techniques for satellite imagery presents significant opportunities as unlabelled data is plentiful and the ...
Yezhen Cong   +8 more
semanticscholar   +1 more source

Spectral Method in Epidemic Time Series: Application to COVID-19 Pandemic

open access: yesBiology, 2022
Background: The age of infection plays an important role in assessing an individual’s daily level of contagiousness, quantified by the daily reproduction number.
Jacques Demongeot, Pierre Magal
doaj   +1 more source

Spectral models for binary products: Unifying subdwarfs and Wolf-Rayet stars as a sequence of stripped-envelope stars [PDF]

open access: yesAstronomy & Astrophysics, 2018
Stars stripped of their hydrogen-rich envelope through interaction with a binary companion are generally not considered when accounting for ionizing radiation from stellar populations, despite the expectation that stripped stars emit hard ionizing ...
Y. Götberg   +6 more
semanticscholar   +1 more source

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