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

  • Formaat: Paperback / softback, 173 pages, kõrgus x laius: 235x155 mm, 75 Illustrations, color; 22 Illustrations, black and white; XII, 173 p. 97 illus., 75 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2484
  • Ilmumisaeg: 13-May-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031892100
  • ISBN-13: 9783031892103
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  • Formaat: Paperback / softback, 173 pages, kõrgus x laius: 235x155 mm, 75 Illustrations, color; 22 Illustrations, black and white; XII, 173 p. 97 illus., 75 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2484
  • Ilmumisaeg: 13-May-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031892100
  • ISBN-13: 9783031892103

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.

.- 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.