Triantafyllos Kanakis

According to our database, Triantafyllos Kanakis authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Map Matching Accuracy Using Backtracking Technique.

Hussein Alkhazraji, Triantafyllos Kanakis, Ali Al-Sherbaz, Wesam Sameer Bhaya, Michael Opoku Agyeman

Int. J. Appl. Earth Obs. Geoinformation, 2024

Survey on the Impact of AI, Robotics and 6G Networks on the Remote Surgery.

Noor Abdalkarem Mohammedali, Triantafyllos Kanakis, Michael Opoku Agyeman

Proceedings of the International Conference on Software, 2024

2023

An Intelligent Routing Approach for Multimedia Traffic Transmission Over SDN.

Mohammed Al Jameel, Triantafyllos Kanakis, Scott J. Turner, Ali Al-Sherbaz, Wesam Sameer Bhaya, Mohammed Al-Khafajiy

Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

2022

Overhead Reduction Technique for Software-Defined Network Based Intrusion Detection Systems.

Ahmed H. Janabi, Triantafyllos Kanakis, Mark Johnson

IEEE Access, 2022

Convolutional Neural Network Based Algorithm for Early Warning Proactive System Security in Software Defined Networks.

Ahmed H. Janabi, Triantafyllos Kanakis, Mark Johnson

IEEE Access, 2022

Performance Evaluation for End-to-End Slice Management in 5G/B5G Cellular Networks.

Noor Abdalkarem Mohammedali, Triantafyllos Kanakis, Ali Al-Sherbaz, Michael Opoku Agyeman

Proceedings of the 30th International Conference on Software, 2022

Traffic Classification using Deep Learning Approach for End-to-End Slice Management in 5G/B5G.

Noor Abdalkarem Mohammedali, Triantafyllos Kanakis, Ali Al-Sherbaz, Michael Opoku Agyeman

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

2021

A Survey of Mobility Management as a Service in Real-Time Inter/Intra Slice Control.

Noor A. Mohammedali, Triantafyllos Kanakis, Michael Opoku Agyeman, Ali Al-Sherbaz

IEEE Access, 2021

A Deep Neural Network-Based Prediction Model for Students' Academic Performance.

Ghaith Al-Tameemi, James Xue, Suraj Ajit, Triantafyllos Kanakis, Israa Hadi, Thar Baker, Mohammed Al-Khafajiy, Rawaa Al-Jumeily

Proceedings of the 14th International Conference on Developments in eSystems Engineering, 2021

2020

Heuristic Optimization for Microload Shedding in Generation Constrained Power Systems.

Julius Quarshie Azasoo, Triantafyllos Kanakis, Ali Al-Sherbaz, Michael Opoku Agyeman

IEEE Access, 2020

2019

Optimal Demand Side Management in Generation Constrained Power Systems.

Julius Quarshie Azasoo, Triantafyllos Kanakis, Ali Al-Sherbaz, Michael Opoku Agyeman

Proceedings of the 2019 IEEE SmartWorld, 2019

Improving Electricity Network Efficiency and Customer Satisfaction in Generation Constrained Power System.

Julius Quarshie Azasoo, Triantafyllos Kanakis, Ali Al-Sherbaz, Michael Opoku Agyeman

Proceedings of the 6th International Conference on Control, 2019

2017

Enhancing BER Performance Limit of BCH and RS Codes Using Multipath Diversity.

Alyaa Al-Barrak, Ali Al-Sherbaz, Triantafyllos Kanakis, Robin Crockett

Comput., 2017

2016

Utilisation of multipath phenomenon to improve the performance of BCH and RS codes.

Alyaa Al-Barrak, Ali Al-Sherbaz, Triantafyllos Kanakis, Robin Crockett

Proceedings of the 2016 8th Computer Science and Electronic Engineering Conference, 2016