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E-grāmata: High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production: 13th International Conference, HPCST 2023, Barnaul, Russia, May 19-20, 2023, Revised Selected Papers

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High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production: 13th International Conference, HPCST 2023, Barnaul, Russia, May 19-20, 2023, Revised Selected PapersPalielināt
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This book constitutes the revised selected papers of the 13th International Conference on HPCST 2023, held in Barnaul, Russia, during May 19–20, 2023.

The 21 full papers included in this book were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections as follows: 
Hardware for High-Performance Computing and Signal Processing; Information Technologies and Computer Simulation of Physical Phenomena; Computing Technologies in Data Analysis and Decision Making; Information and Computing Technologies in Automation and Control Science; Computing Technologies in Information Security Applications.

Hardware for High-Performance Computing and Signal Processing.- Design
of a Pipeline Computing Module as Part of a Specialized VLSI.- Speech
Enhancement based on Two-Stage Neural Network with Structured State Space for
Sequence Transformation.- Designing a Graphics Accelerator with Heterogeneous
Architecture.- Spectrophotometer for Field Studies.- Comparative Study of
Practical Implementation of Time Delay Estimation Methods on Single Board
Computer.- Information Technologies and Computer Simulation of Physical
Phenomena.- Study of the Functional Characteristics of TiNi Coating by the
Computer-Aided Simulation Using Parallel Computing.- On Hierarchical
Convergence of the Heterogeneous Multiscale Finite Element Method using
Polyhedral Supports.- Parallelization of Finite-Volume Numerical Methods of
Computational Fluid Dynamics by Means of Shared Memory Computing
Systems.- Computing Technologies in Data Analysis and Decision
Making.- Development and Comparative Study of Data Compression Methods Used
in Technical Monitoring Systems.- Object Recognition Based on
Three-Dimentional Computer Graphics.- Adaptive Methods for the Structural
Optimization of Neural Networks and Their Ensemble for Data Analysis.-
Self-Adaptation Method for Evolutionary Algorithms Based on the Selection
Operator.- Application of U-Net Architecture Neural Network for Segmentation
of Brain Cell Images Stained with Trypan Blue.- Language Model Architecture
based on the Syntactic Graph of Analyzed Text.- Information and Computing
Technologies in Automation and Control Science.- Classic and Modern Methods
of Automatic Parking Control of Self-Driving Car.- Application of Smoothing
Technique to Model Predictive Traffic Signal Control.- Design Features of the
Frequency-Controlled Electric Drive for Positioning Mechanisms.- Development
of a Mathematical Model to Study the Energy Indicators of Electric Drives
using the DFC-IM System.- Intelligent Data Analysis for Materials Obtained
Using Selective Laser Melting Technology.- Computing Technologies in
Information Security Applications.- Fourier Chromagrams for Fingerprinting,
Verification and Authentication of Digital Audio Recordings.- Methodology of
Expert-Agent Cognitive Modeling for Preventing Impact on Critical Information
Infrastructure.
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