Upper Bounds of the Complexity of Functions over Finite Fields in Some Classes of Kroneker Forms
Известия Иркутского государственного университета: Серия "Математика", 2015 Polynomial representations of Boolean functions have been studied well enough. Recently, the interest to polynomial representations of functions over finite fields and over finite rings is being increased.
A.S. Baliuk, G.V. Yanushkovsky
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An Approach for Reconfigurable Intelligent Surface (RIS) design for MIMO-NOMA Transmission: theoretical study [PDF]
, 2022 The approach (Paradigm) presented hereafter was inspired by two basic ideas: assuming the MIMO-RIS-NOMA communication channel as a dispersive channel with fading and representing the later by means of Generalized Kroneker Channel model (GKCM) applying ...
Valeri Kontorovich (12091406)
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Lower Bound of the Complexity of Seven-Valued Functions in the Class of Polarized Polynomials
Известия Иркутского государственного университета: Серия "Математика", 2017 One of the directions of the investigation of functions over finite fields is the study of their representations, including polynomial ones. In the area of polynomial representations of functions the problem of estimating the complexity of such ...
A.S. Baliuk, A.S. Zinchenko
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Известия Иркутского государственного университета: Серия "Математика", 2016 The representations, including polynomial, of functions over final fields have been actively investigated. The complexity of such representations is the main stream of research.
A. Baliuk, A.S. Zinchenko
doaj
Bipartite Consensus of Nonlinear Agents in the Presence of Communication Noise. [PDF]
Sensors (Basel), 2022 Mondal S, Tsourdos A.
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Neuro-adaptive augmented distributed nonlinear dynamic inversion for consensus of nonlinear agents with unknown external disturbance. [PDF]
Sci Rep, 2022 Mondal S, Tsourdos A.
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Subgraphs of Interest Social Networks for Diffusion Dynamics Prediction. [PDF]
Entropy (Basel), 2021 Guleva VY, Andreeva PO, Vaganov DA.
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Deconvolution of ferromagnetic resonance spectrum of magnetic nanoparticle assembly using genetic algorithm. [PDF]
Sci Rep, 2022 Usov NA, Serebryakova ON.
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Fuzzy-clustering and fuzzy network based interpretable fuzzy model for prediction. [PDF]
Sci Rep, 2022 Wang X, Chen Y, Jin J, Zhang B.
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Autonomous Addition of Agents to an Existing Group Using Genetic Algorithm. [PDF]
Sensors (Basel), 2020 Mondal S, Tsourdos A.
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