Approach to combustion calculation using neural network von Nikitin, V.F., Karandashev, I.M., Malsagov, M. Yu, Mikhalchenko, E.V.

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Simulation of Hydrogen Combustion at Different Pressures Using a Neural Network von Mal’sagov, M. Yu, Mikhal’chenko, E. V., Karandashev, I. M., Nikitin, V. F.

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Neural network approach to solve gas dynamics problems with chemical transformations von Betelin, V.B., Kryzhanovsky, B.V., Smirnov, N.N., Nikitin, V.F., Karandashev, I.M., Malsagov, M.Yu, Mikhalchenko, E.V.

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Machine learning methods for modeling the kinetics of combustion in problems of space safety von Malsagov, M.Yu, Mikhalchenko, E.V., Karandashev, I.M., Stamov, L.I.

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Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Network. Part II: Correlation Maximization von Pushkareva, M. M., Karandashev, I. M.

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Investigating the Efficiency of Using U-Net, Erf-Net and DeepLabV3 Architectures in Inverse Lithography-based 90-nm Photomask Generation von Karandashev, I. M., Teplov, G. S., Karmanov, A. A., Keremet, V. V., Kuzovkov, A. V.

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Using Machine Learning Methods to Predict the Magnitude and the Direction of Mask Fragments Displacement in Optical Proximity Correction (OPC) von Tryasoguzov, P. E., Kuzovkov, A. V., Karandashev, I. M., Teplov, G. S.

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Analytical expressions for a finite-size 2D Ising model von Karandashev, I. M., Kryzhanovsky, B. V., Malsagov, M. Yu

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Change in Density of States of 2D Ising Model when Next-Neighbor Interaction Is Introduced von Karandashev, I. M., Kryzhanovsky, B. V.

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Next Neighbors Addition-Induced Change of 2D Ising Model Critical Parameters von Kryzhanovsky, B. V., Karandashev, I. M.

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Dependence of Critical Parameters of 2D Ising Model on Lattice Size von Kryzhanovsky, B. V., Malsagov, M. Yu, Karandashev, I. M.

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Spectral Characteristics of a Finite 2D Ising Model von Karandashev, I. M., Kryzhanovsky, B. V., Malsagov, M. Yu

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Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Networks von Malsagov, M. Yu, Khayrov, E. M., Pushkareva, M. M., Karandashev, I. M.

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Computational verification of approximate probabilistic estimates of operational efficiency of random neural networks von Karandashev, I. M., Dunin-Barkowski, W. L.

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Linear Prediction Algorithms for Lossless Audio Data Compression von Telyatnikov, L. S., Karandashev, I. M.

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Post-training Quantization of Deep Neural Network Weights von Khayrov, E. M., Malsagov, M. Yu, Karandashev, I. M.

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Transformation of Edge Weights in a Graph Bipartitioning Problem von Karandashev, I. M., Kryzhanovsky, B. V.

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The Analytical Expressions for a Finite-Size 2D Ising Model von Malsagov, M. Yu, Karandashev, I. M, Kryzhanovsky, B. V

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The Analytical Expressions for a Finite-Size 2D Ising Model von M Yu Malsagov, Karandashev, I M, Kryzhanovsky, B V

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An Approximate Backpropagation Learning Rule for Memristor Based Neural Networks Using Synaptic Plasticity von Negrov, D. V, Karandashev, I. M, Shakirov, V. V, Matveyev, Yu. A, Dunin-Barkowski, W. L, Zenkevich, A. V

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