Results 151 to 160 of about 702,219 (333)
Optimal scaling for the pseudo-marginal random walk Metropolis:\n insensitivity to the noise generating mechanism [PDF]
Chris Sherlock
openalex +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Critical window for the vacant set left by random walk on random regular\n graphs [PDF]
Jǐŕı Černý, Augusto Teixeira
openalex +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
This study presents micropleated filters manufactured by needleless electrospinning. Nanofibers are deposited onto uniaxially pre‐stretched substrates that contract upon release, forming densely packed micropleats. This architecture increases effective surface area without enlarging the filter size, achieving quality factors comparable to those of ...
Aleksandr Fadeev +6 more
wiley +1 more source
An idea of designing novel sensors is proposed by creating appropriate Schottky barriers and vacancies between isomorphous Core‐CuOii/ Shell‐CuOi secondary microspheres and enhancing catalytic and spill‐over effects, and electronegativity via spontaneous biphasic separation, self‐assembly, and trace‐Ni‐doping.
Bala Ismail Adamu +8 more
wiley +1 more source
The Random Walk and Systematic Risk in Indonesia
Winston Pontoh, Novi Swandari Budiarso
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Plasma‐assisted hybrid friction stir welding of dissimilar AlCu joints employs localized plasma preheating to balance heat input and enhance plastic flow. The optimized process reduces axial force by up to 35%, refines the microstructure, and achieves ≈96% joint efficiency.
Deepak Kumar Yaduwanshi +3 more
wiley +1 more source
Can random walking on a Hi-C contact matrix lead to data quality improvement? An assessment.
Hi-C and single cell Hi-C (scHi-C) data are now routinely generated for studying an array of biological questions of interest, including whole genome chromatin organization to gain a better understanding of the chromosome three-dimensional hierarchical ...
Yongqi Liu, Shili Lin
doaj +1 more source
Random walk driven by simple exclusion process [PDF]
François Huveneers, François Simenhaus
openalex +1 more source

