Results 61 to 70 of about 3,885,736 (246)
Energies, 2017 In order to improve the intelligent diagnosis level of an on-load tap-changer’s (OLTC) mechanical condition, a feature extraction method based on variational mode decomposition (VMD) and weight divergence was proposed.
Jinxin Liu +3 more
doaj +1 more source
Predicting Standardized Streamflow index for hydrological drought using machine learning models
Engineering Applications of Computational Fluid Mechanics, 2020 Hydrological droughts are characterized based on their duration, severity, and magnitude. Among the most critical factors, precipitation, evapotranspiration, and runoff are essential in modeling the droughts. In this study, three indices of drought, i.e.
Shahabbodin Shamshirband +9 more
doaj +1 more source
Robust ASR using Support Vector Machines [PDF]
, 2007 The improved theoretical properties of Support Vector Machines with respect to other machine learning alternatives due to their max-margin training paradigm have led us to suggest them as a good technique for robust speech recognition. However, important
F. Díaz-de-María +17 more
core +1 more source
Advanced Engineering Materials, EarlyView.Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn +5 more
wiley +1 more source
Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology
Journal of Applied Mathematics, 2012 Protein-protein interactions (PPIs) play a crucial role in cellular processes. In the present work, a new approach is proposed to construct a PPI predictor training a support vector machine model through a mutual information filter-wrapper parallel ...
J. M. Urquiza +5 more
doaj +1 more source
Impact of Hydrogen Incorporation on Electronic and Magnetic Structure of X2CrNi18‐9 Stainless Steel
Advanced Engineering Materials, EarlyView.Hydrogen uptake in austenitic stainless steel alters both its electronic and magnetic structure. Seebeck measurements reveal hydrogen‐induced shifts in the electronic density of states, while neutron scattering uncovers nanoscale inhomogeneities that grow upon hydrogen incorporation, with the most pronounced effect observed in the PBF as‐built state ...
Torben Tappe +9 more
wiley +1 more source
Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and SVM [PDF]
This paper proposes a three-stage method involved system identification techniques, proportional hazard model, and support vector machine for assessing the machine health degradation and forecasting the machine remaining useful life (RUL).
Tran, Van Tung
core +1 more source
Modified one-class support vector machine for content-based image retrieval with relevance feedback
Cogent Engineering, 2018 Image retrieval via traditional Content-Based Image Retrieval (CBIR) often incurs the semantic gap problem—non-correlation of image retrieval results with human semantic interpretation of images.
Oluwole A. Adegbola +4 more
doaj +1 more source
kernlab - An S4 Package for Kernel Methods in R [PDF]
kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 ob ject model and provides a framework for creating and using kernel-based algorithms. The package contains dot product primitives (kernels),
Kurt Hornik +3 more
core
Direct kernel biased discriminant analysis: a new content-based image retrieval relevance feedback algorithm [PDF]
, 2006 In recent years, a variety of relevance feedback (RF) schemes have been developed to improve the performance of content-based image retrieval (CBIR). Given user feedback information, the key to a RF scheme is how to select a subset of image features to ...
Tang, X +7 more
core +1 more source