ls-svm v1.8 toolbox (MathWorks Inc)
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MathWorks Inc
ls-svm v1.8 toolbox
Ls Svm V1.8 Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/ls-svm+v1%2E8+toolbox/10__1080_slash_00032719__2020__1812622-84-9-13
Average 90 stars, based on 1 article reviews
Ls Svm V1.8 Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/ls-svm+v1%2E8+toolbox/10__1080_slash_00032719__2020__1812622-84-9-13
Average 90 stars, based on 1 article reviews
ls-svm v1.8 toolbox - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Determination of the bruise degree for cherry using Vis-NIR reflection spectroscopy coupled with multivariate analysis Article Snippet: In detail, LS-SVM models were set up using LS-SVM v1.8 toolbox running on Article Title: Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths Article Snippet: Early detection of internal bruising is one of the major challenges in blueberry postharvest quality sorting processes.. The potential of using near infrared (NIR) hyperspectral reflectance imaging (950–1650 nm) with reduced spectral features was investigated for blueberry internal bruising detection 30 min to 12 h after mechanical impact.. A least squares support vector machine (LS-SVM) was used to develop classification models to compute the spatial distribution of bruising based on the spectra extracted from regions of interest (ROIs) at four measurement times (30 min, 2 h, 6 h, and 12 h after mechanical impact). Article Title: Assessment of Strawberry Ripeness Using Hyperspectral Imaging Article Snippet: Portable hyperspectral imaging was used for field and indoor spectra acquisition of the strawberries at three ripeness stages: ripe, mid-ripe and unripe.. The mean spectra were pre-processed by multiplicative scatter correction (MSC).. Principal component analysis (PCA) was employed to generate score scatter plots and visualize score images for differentiating specific grouping of samples. |