Isaac Ampratwum

Orcid: 0009-0009-9333-8759

Affiliations:
  • University of Ottawa, School of Electrical Engineering and Computer Science, Canada


According to our database1, Isaac Ampratwum authored at least 10 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Predictive Maintenance and Reliability in Intelligent 5G Networks Based on Graph Neural Networks.
IEEE Access, 2026

2025
Hybrid Approach for WDM Network Restoration: Deep Reinforcement Learning and Graph Neural Networks.
IEEE Open J. Comput. Soc., 2025

Radio link failure prediction in 5G networks using graph neural networks.
Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Graph Neural Network-Based Internet Traffic Prediction in 6G Networks with Genetic Algorithm Hyperparameter Optimization.
Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

2024
On Using Genetic Algorithm for Optimal Controller Placement in Software-Defined Networks.
Proceedings of the International Conference on Information Networking, 2024

Optimizing WDM Network Restoration with Deep Reinforcement Learning and Graph Neural Networks Integration.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
A Nested Genetic Algorithm-Based Optimized Topology and Routing Scheme for WSN.
Proceedings of the International Symposium on Networks, Computers and Communications, 2023

A Genetic Algorithm-Based Improved Availability Framework for Controller Placement in SDN.
Proceedings of the International Symposium on Networks, Computers and Communications, 2023

2020
A Framework for QoS-based Routing in SDNs Using Deep Learning.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020

An Intelligent Traffic Classification in SDN-IoT: A Machine Learning Approach.
Proceedings of the IEEE International Black Sea Conference on Communications and Networking, 2020


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