Results 1 to 10 of about 253,991 (166)
Comparison of Imaging Models for Spectral Unmixing in Oil Painting
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
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Generative hypergraph models and spectral embedding
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
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Deep autoregressive models with spectral attention
Errors in Eq. 2 and Eq.
Pablo M. Olmos +2 more
exaly +3 more sources
We review recent advances in using mathematical models of the relationship between the brain structure and function that capture features of brain dynamics. We argue the need for models that can jointly capture temporal, spatial, and spectral features of
Ashish Raj +2 more
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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
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Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview
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
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Spectral Method in Epidemic Time Series: Application to COVID-19 Pandemic
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
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Sea Spectral Estimation Using ARMA Models
This paper deals with the spectral estimation of sea wave elevation time series by means of ARMA models. To start, the procedure to estimate the ARMA coefficients, based on the use of the Prony’s method applied to the auto-covariance series, is presented.
Marta Berardengo +2 more
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Physics-Capturing Discretizations for Spectral Wind-Wave Models
This paper discusses the discretization methods that have been commonly employed to solve the wave action balance equation, and that have gained a renewed interest with the widespread use of unstructured grids for third-generation spectral wind-wave ...
Marcel Zijlema
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Differentiable Measures for Speech Spectral Modeling
Autoregressive models for the envelope of speech power spectral densities (PSDs) are refined by the self-supervised spectral learning machine (S3LM) provided with differentiable spectral objective functions, including the Itakura-Saito divergence (ISD ...
Miguel Arjona Ramirez +3 more
doaj +1 more source

