A distance-based control chart for monitoring multivariate processes using support vector machines
Sign Up to like & getrecommendations! Published in 2018 at "Annals of Operations Research"
DOI: 10.1007/s10479-016-2186-4
Abstract: Traditional control charts assume a baseline parametric model, against which new observations are compared in order to identify significant departures from the baseline model. To monitor a process without a baseline model, real-time contrasts (RTC)… read more here.
Keywords: distance based; distance; control; using support ... See more keywords
Predicting the mechanical properties of cement mortar using the support vector machine approach
Sign Up to like & getrecommendations! Published in 2021 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2021.123396
Abstract: Abstract In this paper, in order to predict the flexural strength and compressive strength of cement mortar containing nano-silica (NS) and micro-silica (MS), the possibility of using the support vector machine (SVM) approach was investigated… read more here.
Keywords: using support; cement mortar; strength; cement ... See more keywords
Beehives biomonitor pesticides in agroecosystems: Simple chemical and biological indicators evaluation using Support Vector Machines (SVM)
Sign Up to like & getrecommendations! Published in 2018 at "Ecological Indicators"
DOI: 10.1016/j.ecolind.2018.03.028
Abstract: Abstract Bees are widely recognized as biomonitors of the environment. However, simple, low cost indicators based on bee activities (other than mortality) that can be used to monitor agroecosystems’ environmental status have not been reported… read more here.
Keywords: biological indicators; beehives biomonitor; using support; support vector ... See more keywords
Feasible generalized least squares using support vector regression
Sign Up to like & getrecommendations! Published in 2019 at "Economics Letters"
DOI: 10.1016/j.econlet.2018.12.001
Abstract: We investigate semiparametric Feasible Generalized Least Squares using Support Vector Regression to estimate the conditional variance function. Monte Carlo results indicate the resulting estimator and an accompanying standard error correction offer substantially improved precision, nominal… read more here.
Keywords: least squares; using support; support vector; squares using ... See more keywords
Modeling and prediction of lattice parameters of binary spinel compounds (AM2X4) using support vector regression with Bayesian optimization
Sign Up to like & getrecommendations! Published in 2021 at "New Journal of Chemistry"
DOI: 10.1039/d1nj01523k
Abstract: The lattice constants of spinel compounds AM2X4 are correlated with the constituent elemental properties using support vector regression (SVR) optimized with Bayesian optimization. read more here.
Keywords: compounds am2x4; vector regression; support vector; bayesian optimization ... See more keywords
Using Support Vector Machines for Facet Partitioning in Multidimensional Scaling.
Sign Up to like & getrecommendations! Published in 2022 at "Multivariate behavioral research"
DOI: 10.1080/00273171.2022.2035207
Abstract: In this article we focus on interpreting multidimensional scaling (MDS) configurations using facet theory. The facet theory approach is attempting to partition a representational space, facet by facet, into regions with certain simplifying constraints on… read more here.
Keywords: multidimensional scaling; vector machines; facet; support vector ... See more keywords
Extracting Salient Features for EEG-based Diagnosis of Alzheimer's Disease Using Support Vector Machine Classifier
Sign Up to like & getrecommendations! Published in 2017 at "IETE Journal of Research"
DOI: 10.1080/03772063.2016.1241164
Abstract: ABSTRACT Alzheimer's disease (AD) is one of the most common and fastest growing neurodegenerative diseases in the western countries. Development of different biomarkers tools are key issues for the diagnosis of AD and its progression.… read more here.
Keywords: research; support vector; diagnosis; alzheimer disease ... See more keywords
Adaptive Magnetic Anomaly Detection Method Using Support Vector Machine
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3025572
Abstract: Magnetic anomaly detection (MAD) has been widely used for detecting the magnetic targets in many areas. In low signal-to-noise ratio (SNR) situations, the magnetic anomaly is usually buried in the magnetic noise, which leads to… read more here.
Keywords: anomaly detection; method; detection; using support ... See more keywords
In-Band OSNR Monitoring From Stokes Parameters Using Support Vector Regression
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Photonics Technology Letters"
DOI: 10.1109/lpt.2019.2896033
Abstract: We proposed a new method to monitor the optical signal-to-noise rate (OSNR) for 112-Gb/s non-return-to-zero polarization-division-multiplexed quadrature phase-shift keying systems, using support vector regression trained with Stokes parameters. The numerical simulations show that OSNR levels… read more here.
Keywords: stokes parameters; using support; support vector; vector regression ... See more keywords