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    Distributed Computer and Communication Networks: 27th International Conference, DCCN 2024, Moscow, Russia, September 23-27, 2024, Revised Selected Papers

    Distributed Computer and Communication Networks by Vishnevskiy, Vladimir M.; Samouylov, Konstantin E.; Kozyrev, Dmitry V.;

    27th International Conference, DCCN 2024, Moscow, Russia, September 23-27, 2024, Revised Selected Papers

    Series: Communications in Computer and Information Science; 2484;

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    Product details:

    • Publisher Springer
    • Date of Publication 25 May 2025
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031892103
    • Binding Paperback
    • No. of pages171 pages
    • Size 235x155 mm
    • Language English
    • Illustrations 92 Illustrations, black & white
    • 700

    Categories

    Long description:

    The proceedings constitute papers presented in the 27th International Conference, DCCN 2024, held in Moscow, Russia, during September 23–27, 2024.


    The 11 full papers and 1 short paper included in this book were carefully reviewed and selected from 90 submissions. They were organized in topical sections as follows: Computer and Communication Networks; Analytical Modeling of Distributed Systems; Distributed Systems Applications.

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    Table of Contents:

    .- Computer and Communication Networks.
    .- Software Implementation of the Guaranteed Data Transfer Method Based on Recurrent Sequences.
    .- Development of a Refined Method for Assessing the Dependability of Industrial Internet of Things Systems.
    .- Remote Discrimination of Applications’ Types in 6G Terahertz Systems with Directional Antennas.
    .- An Internet of Thing based Obstacle Avoidance Robotic Vehicle Using Ultrasonic Sensor and Arduino.
    .- Clustering Algorithm for Ultra Reliable and Low Latency Communications Based on Population Density.
    .- Analytical Modeling of Distributed Systems.
    .- On Optimal Exponential Splitting of Some Probability Density Functions.
    .- A Practical Solution to the Problem of High Quality Detecting People and Vehicles From Video Frames.
    .- Analysis of Functioning All-Optical Networks in Transient Mode Using Simulation Modeling.
    .- Towards Modeling Network Node Behavior in Decentralized Mobile Network.
    .- Distributed Systems Applications.
    .- Development of Distributed Digital Twins of Complex Technical Objects Based on an Agent-Oriented Software Architecture.
    .- Deep Learning Chest X-Rays of Pneumonia Binary Classification Based on Convolutional Neural Network for IoT networking.
    .- An Intelligent Approach for Early Detection of Potato Diseases.

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