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Современные информационные технологии и IT-образование, 2022 The aim of the work is to automate the study of the information and analytical materials (IAM) preparation based on the development of functional and network probabilistic models for the analysis of typical technological schemes to produce IAM in ...
Alexander Leontiev +2 more
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Energies, 2022 Making cities smart represents a major potential for sustainable development, where both the quality of life and the economy improve. Implementing new and efficient solutions in a smart city involves a large spectrum of uncertainties related to the size ...
Kristina Perić +2 more
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Kendall distribution functions [PDF]
Statistics & Probability Letters, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nelsen, Roger B. +3 more
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Smooth kNN Local Linear Estimation of the Conditional Distribution Function
Mathematics, 2021 Previous works were dedicated to the functional k-Nearest Neighbors (kNN) and the local linearity method estimations of a regression operator. In this paper, a sequence pair of (Xi,Yi)i=1,…,n of functional mixing observations are considered. We treat the
Ibrahim M. Almanjahie +3 more
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Theorem on the Structure of the Fractionally Linear Functional Extremal Function
Mathematics, 2023 The paper proves a theorem about the structure of the distribution function on which the extremum of the fractionally linear functional is reached in the presence of an uncountable number of linear constraints.
Victor Kashtanov +2 more
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Performance Analysis of Multi-Cell Association in Downlink MU-MIMO System with Arbitrary Beamforming
Mathematics, 2022 This article deals with the analysis of the multi-cell association setup, and it exploits the possibility of enhancing coverage in the envisioned sixth generation (6G) large-scale cellular networks.
Muhammad Moinuddin +2 more
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Distributed processing; distributed functions? [PDF]
NeuroImage, 2012 After more than twenty years busily mapping the human brain, what have we learned from neuroimaging? This review (coda) considers this question from the point of view of structure-function relationships and the two cornerstones of functional neuroimaging; functional segregation and integration.
Peter T, Fox, Karl J, Friston
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, 2022 We discuss the determination of the parton substructure of hadrons by casting it as a peculiar form of pattern recognition problem in which the pattern is a probability distribution, and we present the way this problem has been tackled and solved. Specifically, we review the NNPDF approach to PDF determination, which is based on the combination of a ...
Forte S., Carrazza S.
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A Multigraph-Defined Distribution Function in a Simulation Model of a Communication Network
Entropy, 2022 We presented a method based on multigraphs to mathematically define a distribution function in time for the generation of data exchange in a special-purpose communication network. This is needed for the modeling and design of communication networks (CNs)
Slobodan Miletic +4 more
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Parton distribution functions [PDF]
Nuclear Physics B - Proceedings Supplements, 1997 Parton distribution functions give the probability to find partons (quarks and gluons) in a hadron as a function of the fraction x of the proton's momentum carried by the parton. They are conventionally defined in terms of matrix elements of certain operators.
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