Results 81 to 90 of about 4,474,661 (295)
Deep Underground Science and Engineering, EarlyView.Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.To address seepage‐induced tunnel face collapse, this study develops a two‐phase double‐point MPM framework to capture large‐deformation hydro‐mechanical interactions. Incorporating a cementation‐based constitutive model with dynamic permeability updates, the model is successfully validated against saturated granular‐column collapse experiments ...
Yue Tong +6 more
wiley +1 more source
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.Spray‐flame synthesis enables highly flexible and scalable production of multinary and high‐entropy oxide nanoparticles due to high synthesis temperatures with subsequent quenching. Temperature‐dependent in situ diffraction of as‐synthesized materials clearly reveals entropy stabilization in rock salt lattices, while spinels—featuring tetrahedral and ...
Mohammed‐Ali Sheikh +7 more
wiley +1 more source
Ubiquitous lognormal distribution of neuron densities in mammalian cerebral cortex. [PDF]
Cereb Cortex, 2023 Morales-Gregorio A +2 more
europepmc +1 more source
Pro-Poor Growth and the Lognormal Distribution
, 2011 A widely accepted criterion for the pro-poorness of an income growth pattern is that it should reduce a (chosen) measure of poverty by \textit{more} than if all incomes were growing equi-proportionately.
Lambert, Peter J.
core
The Mean Difference for Lognormal Distribution [PDF]
, 2016 The calculation of the mean difference for the lognormal distribution involves several hard integrals featuring the error function. In this paper, considering two particular cases of an integral of the exponential function for the complement to one of ...
GIRONE, Giovanni, MANCA, FABIO
core +1 more source
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Retaining walls are key geotechnical components of road infrastructure, whose seismic performance directly affects the resilience of transportation networks. Despite their importance, seismic fragility models for retaining walls available in the literature refer only to specific case studies.
Amendola C., Conti R., de Silva F.
wiley +1 more source
Improvement in the Between-Class Variance Based on Lognormal Distribution for Accurate Image Segmentation. [PDF]
Entropy (Basel), 2022 Jumiawi WAH, El-Zaart A.
europepmc +1 more source
Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su +2 more
wiley +1 more source
On Modelling Insurance Data by Using a Generalized Lognormal Distribution || Sobre la modelización de datos de seguros usando una distribución lognormal generalizada [PDF]
Revista de Métodos Cuantitativos para la Economía y la Empresa, 2014 In this paper, a new heavy-tailed distribution is used to model data with a strong right tail, as often occurs in practical situations. The distribution proposed is derived from the lognormal distribution, by using the Marshall and Olkin procedure.
García, Victoriano J. +2 more
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