Practical assessment of masonry tunnel joint segmentation using topological machine learning
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
Integration of Euclidean and path distances in hippocampal maps. [PDF]
Ottink L, de Haas N, Doeller CF.
europepmc +1 more source
Space-filling Tetrahedra in Euclidean Space
D. Sommerville
semanticscholar +1 more source
Circularly Polarized Luminescence in Rotaxanes and Catenanes
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
A hierarchical trait and state model for decoding dyadic social interactions. [PDF]
Wu Q, Nakauchi S, Shehata M, Shimojo S.
europepmc +1 more source
Improved Generalizability in Medical Computer Vision: Hyperbolic Deep Learning in Multi-Modality Neuroimaging. [PDF]
Ayubcha C+9 more
europepmc +1 more source
The quantile‐based classifier with variable‐wise parameters
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 Graph-Theoretic Approach to Detection of Parkinsonian Freezing of Gait From Videos. [PDF]
Liu Q+5 more
europepmc +1 more source
AN APPROXIMATION OF CONVEX POLYHEDRA BY C∞-MANIFOLDS IN A EUCLIDEAN SPACE Rn
Haruo Suzuki
openalex +2 more sources
A parameter transformation of the anisotropic Matérn covariance function
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