Results 171 to 180 of about 121,771 (265)
Fuzzy-fractional modeling of cholera disease using real outbreak data of angola in caputo-TFN framework. [PDF]
Fatima Q +5 more
europepmc +1 more source
ABSTRACT Modelling the evolution of Alzheimer's disease (AD) requires a thorough spatiotemporal study of longitudinal neuroimaging data. We propose in this paper a novel deep learning framework that uses a parallel combination of Recurrent Neural Networks (RNNs) and Vision Transformers (ViT) to extract temporal disease dynamics and spatial structural ...
Sahbi Bahroun, Gwanggil Jeon
wiley +1 more source
A Note On Convergence of Nonlinear General Type Two Dimensional Singular Integral Operators
Mine Menekşe Yılmaz
doaj +1 more source
HasLoss: a novel Hassanat distance-based loss functions for binary classification. [PDF]
Tarawneh AS.
europepmc +1 more source
Interpolating sequences for functions satisfying a Lipschitz condition [PDF]
openaire +3 more sources
On goodness‐of‐fit testing for self‐exciting point processes
Abstract Despite the wide usage of parametric point processes in theory and applications, a sound goodness‐of‐fit procedure to test whether a given parametric model is appropriate for data coming from a self‐exciting point process has been missing in the literature.
José Carlos Fontanesi Kling +1 more
wiley +1 more source
On Shape Optimization with Large Magnetic Fields in Two Dimensions. [PDF]
Lotoreichik V, Morin L.
europepmc +1 more source
Variable selection via thresholding
Abstract Variable selection comprises an important step in many modern statistical inference procedures. In the regression setting, when estimators cannot shrink irrelevant signals to zero, covariates without relationships to the response often manifest small but nonzero regression coefficients.
Ka Long Keith Ho, Hien Duy Nguyen
wiley +1 more source
Analytical and numerical properties of an extended angiogenesis PDEs model. [PDF]
De Luca P, Marcellino L.
europepmc +1 more source
A characterisation of snowflakes via rectifiability
Abstract We prove a generalisation to every metric space of Tyson–Wu's characterisation of metric spaces biLipschitz equivalent to snowflakes, by removing compactness, doubling and embeddability assumptions. We also characterise metric spaces that are biLipschitz equivalent to a snowflake in terms of the absence of non‐trivial metric 1‐currents in ...
Emanuele Caputo, Nicola Cavallucci
wiley +1 more source

