Table of Contents, vol 14, no 3&4, year 2021
pages: 1 - 9
A Probabilistic Learning Reinforcement Model for the Performance Analysis of Multimedia Indexing and Packet Switching
Clement Leung, Chinese University of Hong Kong, Shenzhen, China
Yao Tong, Chinese University of Hong Kong, Shenzhen, China
pages: 10 - 18
Software Environment for Performance Simulation of Three-hop Wireless Relay Channels under the Influence of Rician Fading
Dragana Krstic, University of Nis, Faculty of Electronic Engineering, Serbia
Petar Nikolic, TigarTyres, Pirot, Serbia
Nenad Petrovic, University of Nis, Faculty of Electronic Engineering, Serbia
Zoran Popovic, Higher Technical School of Professional Studies, Zvecan, Serbia
Sinisa Minic, Faculty of Teacher Education in Prizren – Leposavic, University of Pristina- Kosovska Mitrovica, Serbia
pages: 19 - 29
Next Generation IMPAQT Miniaturized Underwater Transmitter System Design
Hamed Jafarzadeh, Tyndall National Institute, University College Cork, Ireland
Marco Belcastro, Tyndall National Institute, University College Cork, Ireland
Brendan O'Flynn, Tyndall National Institute, University College Cork, Ireland
pages: 30 - 40
Requirements Identification for Vehicle-to-Everything and Internet of Vehicles dedicated 5G Slices
Eugen Borcoci, University POLITEHNICA of Bucharest - UPB, Romania
Marius-Constantin Vochin, University POLITEHNICA of Bucharest - UPB, Romania
Serban Georgica Obreja, University POLITEHNICA of Bucharest - UPB, Romania
Silvia Stanciu, University POLITEHNICA of Bucharest - UPB, Romania
pages: 41 - 50
Improving the Design Performance of Field Programmable Gate Array Devices with Efficient Approach to Measure Power Consumption
Esteve Hassan, Mohawk College, Canada
Bilal Al Momani, Mohawk College, Canada
pages: 51 - 69
Supervised Machine Learning in Inter-Level, Ultra-Low Frequency Power Line Communications
Kushal Thapa, Texas State University, United States
Stan McClellan, Texas State University, United States
Damian Valles, Texas State University, United States
pages: 70 - 99
Cloud Cost Optimization Based on Shifted N-policy M/M/M/K Queue Model
Zsolt Saffer, Vienna University of Technology, Vienna, Austria
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