Results 51 to 60 of about 567 (213)
Applied SciencesIndoor WiFi fingerprint localization often suffers from abnormal fluctuations in received signal strength indicator (RSSI) measurements and from the sensitivity of least-squares support vector machine (LSSVM) hyperparameters to local optima.
Shoufeng Wang +2 more
doaj +1 more source
Enhancing SPH using moving least-squares and radial basis functions [PDF]
, 2005 In this paper we consider two sources of enhancement for the meshfree Lagrangian particle method smoothed particle hydrodynamics (SPH) by improving the accuracy of the particle approximation.
R.A. Brownlee (7584983) +7 more
core
Image interpolation via regularized local linear regression [PDF]
, 2010 In this paper, we present an efficient image interpolation scheme by using regularized local linear regression (RLLR). On one hand, we introduce a robust estimator of local image structure based on moving least squares, which can efficiently handle the ...
Wen Gao +9 more
core +1 more source
Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer +11 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi +3 more
wiley +1 more source
Scalable subspace methods for derivative-free nonlinear least-squares optimization
, 2022 We introduce a general framework for large-scale model-based derivative-free optimization based on iterative minimization within random subspaces. We present a probabilistic worst-case complexity analysis for our method, where in particular we prove high-
Roberts, Lindon, Cartis, Coralia
core +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
Advanced Engineering Materials, EarlyView.A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
Civil Engineering Dimension, 2008 A meshless local Petrov-Galerkin (MLPG) method that employs polygonal sub-domains constructed from several triangular patches rather than the typically used circular sub-domains is presented.
Pamuda Pudjisuryadi
doaj
Frontiers in Plant Science, 2018 In scenarios of future climate change, there is a projectedincrease in the occurrence and severity of natural disturbances inboreal forests. Spruce budworm (Choristoneura fumiferana)(SBW) is the main defoliator of conifer trees in the North American ...
Lionel Navarro +4 more
doaj +1 more source
A Local Meshless Shepard and Least Square Interpolation Method Based on Local Weak Form
Computer Modeling in Engineering & Sciences, 2008 The popular Shepard PU approximations are easy to construct and have many advantages, but they have several limitations, such as the difficulties in handling essential boundary conditions and the known problem of linear dependence regarding PU-based methods, and they are not the good choice for MLPG method.
openaire +1 more source