Efficient Blended Models for Analysis and Detection of Neuropathic Pain from EEG Signals Using Machine Learning. [PDF]
Prabhakar SK, Kim KT, Won DO.
europepmc +1 more source
Exploring Asymptotic Normality in Multinomial Models
ABSTRACT Among the methods for analyzing categorical outcomes, the multinomial model offers a robust framework for examining the dependence between a multi‐category response variable and a set of explanatory variables. Its flexibility, versatility, and broad applicability across diverse fields make it a valuable tool, as it does not impose strict ...
Célia Nunes +3 more
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SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification. [PDF]
Jena M, Dehuri S, Cho SB.
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ABSTRACT In this second part of our series of papers, we develop an abstract framework suitable for de Rham complexes that depend on a parameter belonging to an arbitrary Banach space. Our primary focus is on spectral perturbation problems and the differentiability of eigenvalues with respect to perturbations of the involved parameters. As a byproduct,
Pier Domenico Lamberti +2 more
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Comparison of the performance of machine learning algorithms for the task-switching functional magnetic resonance imaging data for distinguishing attention deficit hyperactivity disorder from bipolar disorder. [PDF]
Solouki L +6 more
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ABSTRACT This paper develops a mathematical framework for interpreting observations of solar inertial waves in an idealized setting. Under the assumption of purely toroidal linear waves on the sphere, the stream function of the flow satisfies a fourth‐order scalar equation.
Tram Thi Ngoc Nguyen +3 more
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Canonicalizing Zeta Generators: Genus Zero and Genus One. [PDF]
Dorigoni D +7 more
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Optimization of Diffusion MRI With Consideration of the Signal Decay in Biological Tissues
ABSTRACT Purpose Devising methodology to characterize and optimize acquisition schemes for biological tissues, such as the prostate, that produce model‐based synthetic diffusion‐weighted images and derived model parameters with predictable SNR improvement. Methods The averaging effect (AE) in synthetic diffusion‐weighted images obtained through fitting
Stefan Kuczera, Stephan E. Maier
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Optimized shaped pulses for a 2D single-frequency technique for refocusing (SIFTER). [PDF]
Trenkler PAS +3 more
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Applications of representation theory and of explicit units to Leopoldt's conjecture. [PDF]
Ferri F, Johnston H.
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