A Proposal for Homoskedastic Modeling With Conditional Auto-Regressive Distributions. [PDF]
Stat MedABSTRACT Conditional auto‐regressive (CAR) distributions are widely used to deal with spatial dependence in the geographic analysis of areal data. These distributions establish multivariate dependence networks by defining conditional relationships between neighboring units, resulting in positive dependence among nearby observations.
Martinez-Beneito MA +3 more
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What If Each Voxel Were Measured With a Different Diffusion Protocol? [PDF]
Magn Reson MedABSTRACT Purpose Expansion of diffusion MRI (dMRI) both into the realm of strong gradients and into accessible imaging with portable low‐field devices brings about the challenge of gradient nonlinearities. Spatial variations of the diffusion gradients make diffusion weightings and directions non‐uniform across the field of view, and deform perfect ...
Coelho S +7 more
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Comparative evaluation of strategies for improving the robustness of complex networks
Applied Network Science, 2023 Designing network systems able to sustain functionality after random failures or targeted attacks is a crucial aspect of networks. This paper investigates several strategies of link selection aiming at enhancing the robustness of a network by optimizing ...
Annalisa Socievole, Clara Pizzuti
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Effect of Impeller Trimming on the Energy Efficiency of the Counter-Rotating Pumping Stage
Applied Sciences, 2023 Developing ways to increase centrifugal pumps’ pressure and power characteristics is a critical problem in up-to-date engineering. There are many ways to resolve it, but each has advantages and flaws.
Ivan Pavlenko +5 more
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Accelerated RAKI reconstruction for multi-slice cardiac cine applications. [PDF]
Med PhysAbstract Background Accelerated MRI reconstruction techniques are necessary to avoid long cardiac exams. K‐space‐based parallel imaging (PI) reconstruction has recently been adapted to deep learning with a scan‐specific training technique entitled scan‐specific robust artificial neural‐networks for k‐space interpolation (RAKI), which incorporates ...
Quillien L, Oster J, Vuissoz PA.
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A Hadamard-type open map theorem for submersions and applications to completeness results in Control Theory [PDF]
, 2015 We prove a quantitative openness theorem for $C^1$ submersions under suitable assumptions on the differential. We then apply our result to a class of exponential maps appearing in Carnot-Carath\'eodory spaces and we improve a classical completeness ...
Bonfiglioli, Andrea +2 more
core +1 more source
Boundary Value Problems for Delay Differential Systems
Advances in Difference Equations, 2010 Conditions are derived of the existence of solutions of linear Fredholm's boundary-value problems for systems of ordinary differential equations with constant coefficients and a single delay, assuming that these solutions satisfy the initial and ...
A. Boichuk +3 more
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A parametric framework for multidimensional linear measurement error regression
PLoS ONE, 2022 The ordinary linear regression method is limited to bivariate data because it is based on the Cartesian representation y = f(x). Using the chain rule, we transform the method to the parametric representation (x(t), y(t)) and obtain a linear regression ...
Stanley Luck
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A general iterative solver for unbalanced inconsistent transportation problems [PDF]
Archives of Transport, 2016 The transportation problem, as a particular case of a linear programme, has probably the highest relative frequency with which appears in applications. At least in its classical formulation, it involves demands and supplies.
Doina Carp +2 more
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Design and Implementation of a Machine Learning State Estimation Model for Unobservable Microgrids
IEEE Access, 2022 An observable microgrid may become unobservable when sensors are at fault, sensor data is missing, or data has been tampered by malicious agents.
Byron Alejandro Acuna Acurio +4 more
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