Results 81 to 90 of about 1,278,153 (338)
, 2014 We propose a bilateral filter with a locally controlled domain kernel for directional edge-preserving smoothing. Traditional bilateral filters use a range kernel, which is responsible for edge preservation, and a fixed domain kernel that performs ...
Seelamantula, Chandra Sekhar +1 more
core +1 more source
Advanced Engineering Materials, EarlyView.In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source
Impact of tracheostomy tube modalities on ventilatory mechanics: a bench study
Intensive Care Medicine ExperimentalPurpose Tracheostomized patients often present with muscle weakness, altered consciousness, or swallowing difficulties. Hence, the literature is scarce regarding the challenging management of tracheostomy weaning.
Yann Combret +7 more
doaj +1 more source
Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data
Econometrics, 2015 This paper proposes plug-in bandwidth selection for kernel density estimation with discrete data via minimization of mean summed square error. Simulation results show that the plug-in bandwidths perform well, relative to cross-validated bandwidths, in ...
Chi-Yang Chu +2 more
doaj +1 more source
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics [PDF]
, 2018 Kernel-based methods exhibit well-documented performance in various nonlinear learning tasks. Most of them rely on a preselected kernel, whose prudent choice presumes task-specific prior information.
Chen, Tianyi +2 more
core +1 more source
Peak Criterion for Choosing Gaussian Kernel Bandwidth in Support Vector Data Description
, 2017 Support Vector Data Description (SVDD) is a machine-learning technique used for single class classification and outlier detection. SVDD formulation with kernel function provides a flexible boundary around data.
Chaudhuri, Arin +5 more
core +1 more source
Advanced Engineering Materials, EarlyView.High‐performance nickel‐based superalloys are often not processible in additive manufacturing (AM) due to hot cracking. The findings in this manuscript propose an efficient method to mitigate cracking and enhance mechanical properties of these alloys by producing a metal matrix composite, contributing to the material and process perspective of the AM ...
Klaus Büßenschütt +3 more
wiley +1 more source
Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap
Sensors, 2011 Facial expression recognition is an interesting and challenging subject. Considering the nonlinear manifold structure of facial images, a new kernel-based manifold learning method, called kernel discriminant isometric mapping (KDIsomap), is proposed ...
Xiaoming Zhao, Shiqing Zhang
doaj +1 more source
Journal of Logical and Algebraic Methods in Programming, 2016 AbstractA classical result in algebraic specification states that a total function defined on an initial algebra is a homomorphism if and only if the kernel of that function is a congruence. We expand on the discussion of that result from an earlier paper: extending it from total to partial functions, simplifying the proofs using relational calculus ...
openaire +3 more sources
Advanced Engineering Materials, EarlyView.In the present study, metastable CrMnNi steels with varying chemical compositions and a concomitantly altered stacking fault energy are processed via directed energy deposition and afterwards tested via tensile tests at different temperatures. The present study shows the influence of the manufacturing process on the elemental deformation mechanisms for
Julia Richter +8 more
wiley +1 more source