Distributed Computer and Communication Networks (eBook, PDF)

27th International Conference, DCCN 2024, Moscow, Russia, September 23-27, 2024, Revised Selected Papers
Redaktion: Vishnevskiy, Vladimir M.; Kozyrev, Dmitry V.; Samouylov, Konstantin E.

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 173
• Erscheinungstermin: 12. Mai 2025
• Englisch
• ISBN-13: 9783031892110
• Artikelnr.: 74187789

Inhaltsangabe

.- 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.