Results 291 to 300 of about 5,495,109 (374)

Practical assessment of masonry tunnel joint segmentation using topological machine learning

open access: yesCivil Engineering Design, EarlyView.
Abstract Condition assessment of masonry lined tunnels is time consuming and labor intensive. Recently developed digital workflows enable structural models to be created automatically, reducing analysis time. As part of these procedures, it is important to be able to identify the location of each masonry block.
Jack Smith, Chrysothemis Paraskevopoulou
wiley   +1 more source

Space-filling Tetrahedra in Euclidean Space

open access: yesProceedings of the Edinburgh Mathematical Society, 1922
D. Sommerville
semanticscholar   +1 more source

Circularly Polarized Luminescence in Rotaxanes and Catenanes

open access: yesChemistryEurope, EarlyView.
This review highlights the chiral rotaxanes and catenanes possessing static or stimuli‐responsive circularly polarized luminescence (CPL) activity both in solution and in the solid state. It also discusses macromolecular and supramolecular CPL‐emissive materials derived from these mechanically interlocked molecules.
Arthur H. G. David   +2 more
wiley   +1 more source

Improved Generalizability in Medical Computer Vision: Hyperbolic Deep Learning in Multi-Modality Neuroimaging. [PDF]

open access: yesJ Imaging
Ayubcha C   +9 more
europepmc   +1 more source

The quantile‐based classifier with variable‐wise parameters

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Quantile‐based classifiers can classify high‐dimensional observations by minimizing a discrepancy of an observation to a class based on suitable quantiles of the within‐class distributions, corresponding to a unique percentage for all variables.
Marco Berrettini   +2 more
wiley   +1 more source

A parameter transformation of the anisotropic Matérn covariance function

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We describe a polar coordinate transformation of the anisotropy parameters of the Matérn covariance function, which provides two benefits over the standard parameterization. First, it identifies a single point (the origin) with the special case of isotropy.
Kamal Rai, Patrick E. Brown
wiley   +1 more source

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