Results 61 to 70 of about 184,733 (266)
A Circle Center Location Algorithm Based on Sample Density and Adaptive Thresholding
Applied SciencesHow to acquire the exact center of a circular sample is an essential task in object recognition. Present algorithms suffer from the high time consumption and low precision. To tackle these issues, we propose a novel circle center location algorithm based
Yujin Min +3 more
doaj +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
Advanced Engineering Materials, EarlyView.A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
A Kernel-Based Approach for Biomedical Named Entity Recognition
The Scientific World Journal, 2013 Support vector machine (SVM) is one of the popular machine learning techniques used in various text processing tasks including named entity recognition (NER).
Rakesh Patra, Sujan Kumar Saha
doaj +1 more source
Advanced Engineering Materials, EarlyView.Manufacturing problems such as heat treatment‐induced cracking hinder the widespread application of the laser powder bed fusion (LPBF) process to superalloys. In this study, cracks in the LPBF components of Inconel 738LC superalloy are characterized after heat treatment at various temperature ranges, revealing two distinct cracking behaviors.
Kosuke Kuwabara +4 more
wiley +1 more source
Application of the multi-kernel non-negative matrix factorization on the mechanical fault diagnosis
Advances in Mechanical Engineering, 2015 Although the computation amount involved in the image processing is very large, image information which is very intuitive and easy to be understood has attracted great many attentions in the fault diagnosis of machines.
Yongsheng Yang +2 more
doaj +1 more source
Support Vector Machines (SVMs) versus Multilayer Perception (MLP) in data classification
Egyptian Informatics Journal, 2012 In this paper, we introduce a new kernel function for improving the accuracy of the Support Vector Machines (SVMs) classification. The proposed kernel function is stated in general form and is called Gaussian Radial Basis Polynomials Function (GRPF) that
E.A. Zanaty
doaj +1 more source
A kernel for automorphic L-functions
Journal of Number Theory, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Advanced Engineering Materials, EarlyView.This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
wiley +1 more source
Journal of Applied Mathematics, 2011 We aimed to derive a kernel function that accounts for the interaction among moving particles within the framework of particle method. To predict a computationally more accurate moving particle solution for the Navier-Stokes equations, kernel function ...
Tony W. H. Sheu +2 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Different Al/Al bimetals with a single engineered interface reveal how mechanical mismatch governs fatigue crack growth under cyclic loading. Additionally, loading–unloading–reloading tests link the microyielding behavior to the fatigue crack growth resistance, while crack‐path analysis reveals toughening mechanisms at the interface, highlighting ...
Sebastian Vollath +2 more
wiley +1 more source