Results 31 to 40 of about 829,480 (295)
Information, 2018 Aiming at a special type of ill-defined complicate multiple attributes group decision-making (MAGDM) problem, which exhibits hybrid complexity features of decision hesitancy, prioritized evaluative attributes, and unknown decision-makers’ weights ...
Xiao-Wen Qi +2 more
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Adaptive minimization of the maximal path deviations of industrial robots [PDF]
1999 European Control Conference (ECC), 1999 A learning system is presented which uses feedforward control to improve the accuracy of standard position controlled robots. The method is executed on joint level since in this case there are less couplings than in the cartesian space. On the other side the main goal is to reduce the maximal deviation from a given cartesian path.
Lange, F., Hirzinger, G.
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Zhongguo dianli, 2022 Currently voltage control and network loss caused by the integration of high-penetration of distributed generations are usually tackled out by means of reactive power compensation.
Bin DANG +5 more
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PREDICTING AND ANALYZING OF TURKISH SUGAR PRICE WITH ARCH, GARCH, EGARCH AND ARIMA METHODS [PDF]
Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development, 2021 Using GARCH(p,q) models, in this study our aim is to examine and search the characteristics of volatility of Turkish sugar price. Due to the ARCH effects on price, ARCH(q), GARCH(p,q) and EGARCH(p,q) including these effects on mean and variance equations
Mehmet Arif ŞAHİNLİ
doaj
On the Maximal Deviation of $k$-Dimensional Density Estimates
The Annals of Probability, 1976 Probability density estimates are generated by a kernel or weight function. Limit theorems are obtained for the maximum of the normalized deviation of the estimate from its expected value. The results are, in part, an extension to the $k$-dimensional case $(k > 1)$ of those obtained by P. Bickel and M. Rosenblatt (Ann. Statist.
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Deviations to Tri-Bi-Maximal mixing in the limit of μ − τ symmetry
Physics Letters B, 2019 Dans la limite d'une symétrie μ−τ approximative dans la matrice de masse des neutrinos, nous explorons les écarts par rapport au modèle de mélange Tri-Bi-Maximal dans le secteur des neutrinos. Nous considérons deux ansatzes différentes pour le motif corrigé afin de prédire les valeurs actuelles des paramètres de mélange des neutrinos.
Diana C. Rivera-Agudelo +2 more
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BioMedical Engineering OnLine, 2017 Objectives Traditional brain age estimation methods are based on the idea that uses the real age as the training label. However, these methods ignore that there is a deviation between the real age and the brain age due to the accelerated brain aging ...
Yongming Li +6 more
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Zhongguo dianli, 2023 For the unclear trading mechanism of large-scale energy storage application and the difficulty in recovering investment costs, this paper proposes a pricing method for shared energy storage.
Caijuan QI +3 more
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Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
Pediatric Blood &Cancer, EarlyView.ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
wiley +1 more source
Asymptotic maximal deviation of M-smoothers
Journal of Multivariate Analysis, 1989 Let (X1, Y1),..., (Xn, Yn) be i.i.d. rv's and let m(x) = E(YX = x) be the regression curve of Y on X. A M-smoother mn(x) is a robust, nonlinear estimator of m(x), defined in analogy to robust M-estimators of location. In this paper the asymptotic maximal deviation sup0≤ t ≤ 1 |mn(t) -m(t)| is considered.
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