Results 21 to 30 of about 386,310 (261)
Classification of bottled waters marketed and consumed in Algeria through statistical approaches
Journal of Water and Health, 2023 The main objective of this work consists of classifying 30 brands of water bottled and marketed in Algeria, based on their physicochemical compositions and their comparison with some foreign brands recognized in their countries or on a world scale ...
Khadidja Ketrouci +4 more
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Determination of flood extend using OLI data (case study: Dezful 2016 flood) [PDF]
محیط زیست و مهندسی آب, 2019 Among the various natural hazards, floods may be considered as the most devastating factor that inflicts great damage on human societies. Therefore, the importance of estimating flood damage and its scope in planning to reduce damages and determine ...
Ali Asghar Torahi +1 more
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Electronic Journal of Plant Breeding, 2021 The present research focuses on the identification of stable trait specific genetic resources across the five semiarid environments located in the four states of India.
M. Y. Dudhe1*, H. P. Meena1 , M. Sujatha1 , S. B. Sakhre2 , M. K. Ghodke3 , A. M. Misal3 , S. Neelima4 , V. V. Kulkarni5 , Praduman Yadav1 , A. R. G. Ranganatha1 and A. Vishnuvardhan Reddy1
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International Journal of Secondary Metabolite, 2017 In this study, we investigated the effects of cold pressed oil on physicochemical properties of milk thistle (Silybum marianum), anise seed (Pimpinella anisum), fennel seed (Foeniculum vulgare), terebinth (Pistacia terebinthus), coriander (Coriandrum ...
Zeliha Üstün Argon +3 more
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EFFICIENCY OF SOME CLASSIFICATION METHODS ADOPTED IN CLINICAL REMINDER SYSTEMS IN CASES OF MIXED DATA [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2008 Cluster analysis techniques are widely used in medical researches. Clustering techniques are not unique and hence users must be extremely conscious about what to use in order to analyze their data.
Imad H.A. AL-Iathary, Murtadhah M.H
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SIAM Journal on Imaging Sciences, 2013 We describe a method for analyzing the shape variability of images, called geometric PCA. Our approach is based on the use of deformation operators to model the geometric variability of images around a reference mean pattern. This leads to a new algorithm for estimating shape variability.
Bigot, Jérémie +2 more
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$e$PCA: High dimensional exponential family PCA
The Annals of Applied Statistics, 2018 Many applications, such as photon-limited imaging and genomics, involve large datasets with noisy entries from exponential family distributions. It is of interest to estimate the covariance structure and principal components of the noiseless distribution.
Liu, Lydia T. +2 more
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Validation of Nonlinear PCA [PDF]
Neural Processing Letters, 2012 Linear principal component analysis (PCA) can be extended to a nonlinear PCA by using artificial neural networks. But the benefit of curved components requires a careful control of the model complexity. Moreover, standard techniques for model selection, including cross-validation and more generally the use of an independent test set, fail when applied ...
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DP-PCA: Statistically Optimal and Differentially Private PCA
Advances in Neural Information Processing Systems 35, 2022 We study the canonical statistical task of computing the principal component from $n$ i.i.d.~data in $d$ dimensions under $(\varepsilon,δ)$-differential privacy. Although extensively studied in literature, existing solutions fall short on two key aspects: ($i$) even for Gaussian data, existing private algorithms require the number of samples $n$ to ...
Xiyang Liu +3 more
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Geochemical evaluation of land use at a medieval harbor site in Masuda City, Chugoku region, Japan
Proceedings of the Mongolian Academy of Sciences, 2019 A large-scale Medieval harbor site has been recently discovered at Nakazu-Higashihara in Masuda City, Chugoku region, Japan. The Medieval harbor site is divided into north and south areas.
Dalai Banzragch +2 more
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