Eric Gyamfi

Orcid: 0000-0002-0744-4208

According to our database1, Eric Gyamfi authored at least 12 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Adaptation in Edge Computing: A Review on Design Principles and Research Challenges.
ACM Trans. Auton. Adapt. Syst., September, 2024

Quantum Deep Reinforcement Learning for Dynamic Resource Allocation in Mobile Edge Computing-Based IoT Systems.
IEEE Trans. Wirel. Commun., June, 2024

Maximization of sum rate for Wireless Powered Communication Network with Intelligent Reflecting Surface and NOMA in the nonappearance of uplink and downlink beamforming matrix, subject to transmit power and time.
Int. J. Commun. Syst., 2024

Multi-Objective Deep Reinforcement Learning for Efficient Workload Orchestration in Extreme Edge Computing.
IEEE Access, 2024

2023
Optimal Computation Resource Allocation in Energy-Efficient Edge IoT Systems With Deep Reinforcement Learning.
IEEE Trans. Green Commun. Netw., December, 2023

Stochastic geometry modelling and analysis for cooperative NOMA with large transmit antennas for 5G applications and beyond.
IET Commun., August, 2023

Novel Online Network Intrusion Detection System for Industrial IoT Based on OI-SVDD and AS-ELM.
IEEE Internet Things J., March, 2023

An Adaptive Network Security System for IoT-Enabled Maritime Transportation.
IEEE Trans. Intell. Transp. Syst., February, 2023

2022
Intrusion Detection in Internet of Things Systems: A Review on Design Approaches Leveraging Multi-Access Edge Computing, Machine Learning, and Datasets.
Sensors, 2022

M-TADS: A Multi-Trust DoS Attack Detection System for MEC-enabled Industrial loT.
Proceedings of the 27th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2022

2020
Energy efficient resource optimization in cooperative Internet of Things networks.
Internet Things, 2020

2019
ECC Based Lightweight Cybersecurity Solution For IoT Networks Utilising Multi-Access Mobile Edge Computing.
Proceedings of the Fourth International Conference on Fog and Mobile Edge Computing, 2019


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