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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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On the Distribution of Kurepa’s Function
Axioms, 2022 Kurepa’s function and his hypothesis have been investigated by means of numerical simulation. Particular emphasis has been given to the conjecture on its distribution, that should be one of a random uniform distribution, which has been verified for large numbers. A convergence function for the two has been found.
Nicola Fabiano +4 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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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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The tensor distribution function [PDF]
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008 Diffusion weighted magnetic resonance (MR) imaging is a powerful tool that can be employed to study white matter microstructure by examining the 3D displacement profile of water molecules in brain tissue. By applying diffusion-sensitized gradients along a minimum of 6 directions, second-order tensors can be computed to model dominant diffusion ...
Alex D. Leow +6 more
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On the Distribution of Generating Functions [PDF]
Bulletin of the London Mathematical Society, 1998 The generating function \(f_P(\alpha)\) associated with the \(k\)th powers is defined by \[ f_P(\alpha)= \sum_{1\leq n\leq P} \exp(i2\pi\alpha n^k). \] For \(\alpha\in (0,1]\), let \(f(\alpha)= P^{-1/2}|f_P(\alpha)|\). It has been conjectured that \[ \int_0^1 f(\alpha)^s d\alpha\sim \Gamma (\tfrac s2+1).
Vaughan, RC, Wooley, TD
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Functional Distributional Semantics [PDF]
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016 Published at Representation Learning for NLP workshop at ACL 2016, https://sites.google.com/site/repl4nlp2016/
Guy Emerson, Ann A. Copestake
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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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