Iacovos Ioannou

Orcid: 0000-0002-1562-5543

According to our database1, Iacovos Ioannou authored at least 32 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
A novel automated approach for fish biomass estimation in turbid environments through deep learning, object detection, and regression.
Ecol. Informatics, 2024

GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System based on Federated Learning for Medical IoT network security hardening.
Comput. Commun., 2024

AI/ML-aided capacity maximization strategies for URLLC in 5G/6G wireless systems: A survey.
Comput. Networks, 2024

DeepRISBeam: Deep Learning-Based RIS Beam Management for Radio Channel Optimization.
IEEE Access, 2024

A Distributed AI Framework for Nano-Grid Power Management and Control.
IEEE Access, 2024

Towards Accelerating the Network Performance on DPUs by optimising the P4 runtime.
Proceedings of the 32nd Euromicro International Conference on Parallel, 2024

Evaluating Localization Algorithms in IoT Networks Under Jamming Attacks.
Proceedings of the IFIP Networking Conference, 2024

Revolutionising IoT Network Security By Assessing ML Localisation Techniques Against Jamming Attacks.
Proceedings of the 22nd Mediterranean Communication and Computer Networking Conference, 2024

Deep Learning-Aided Channel Estimation for Large Scale Fading Decoding in Massive MIMO Systems.
Proceedings of the 30th IEEE International Conference on Telecommunications, 2024

Enhancing Edge Caching Efficiency: Leveraging Social and Context-Aware Popularity Rank Prediction via Transfer Learning.
Proceedings of the 30th IEEE International Conference on Telecommunications, 2024

Catalyzing Energy Balance: A Comparative Analysis of Optimization Algorithms in the DAI Framework.
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2024

Applying an Agent-based Distributed AI Framework to Forecast Power for the Mini-Grid Stability.
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2024

Detecting multiple jammers using Fuzzy-Logic Intrusion Detection System (FLIDS).
Proceedings of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2024

Safety Based Optimal Storage Capacity Sizing for Power System with Renewable Energy Sources.
Proceedings of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2024

Location-enabled IoT (LE-IoT): Indoor Localization for IoT Environments using Machine Learning.
Proceedings of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2024

2023
Detection of DDoS attacks in D2D communications using machine learning approach.
Comput. Commun., 2023

A novel power consumption optimization framework in 5G heterogeneous networks.
Comput. Networks, 2023

A Novel Deep Hierarchical Machine Learning Approach for Identification of Known and Unknown Multiple Security Attacks in a D2D Communications Network.
IEEE Access, 2023

Content-Aware Network Traffic Prediction Framework for Quality of Service-Aware Dynamic Network Resource Management.
IEEE Access, 2023

Performance evaluation of a Fuzzy Logic-based IDS (FLIDS) technique for the Detection of Different Types of Jamming Attacks in IoT Networks.
Proceedings of the 21st Mediterranean Communication and Computer Networking Conference, 2023

Metacities Excellence Hub: Exploiting Digital Twins and Metaverse Technologies in South-Eastern Europe.
Proceedings of the IEEE International Smart Cities Conference, 2023

Motivating an Agent-based Distributed AI Framework for Renewable Integration: Power Balancing.
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

Dual-Step Transfer Learning-Based Prediction Model for Next-Generation Intelligent Cellular Networks.
Proceedings of the IEEE International Conference on Communications, 2023


2022
A security protocol for D2D communications in 5G networks using elliptic curve cryptography.
Int. J. Inf. Sec., 2022

A novel Distributed AI framework with ML for D2D communication in 5G/6G networks.
Comput. Networks, 2022

A distributed AI/ML framework for D2D Transmission Mode Selection in 5G and beyond.
Comput. Networks, 2022

Dynamic D2D Communication in 5G/6G Using a Distributed AI Framework.
IEEE Access, 2022

Fuzzy-Logic Based IDS for Detecting Jamming Attacks in Wireless Mesh IoT Networks.
Proceedings of the 20th Mediterranean Communication and Computer Networking Conference, 2022

2021
5G D2D Transmission Mode Selection Performance & Cluster Limits Evaluation of Distributed Artificial Intelligence and Machine Learning Techniques.
CoRR, 2021

Performance Evaluation of Transmission Mode Selection in D2D communication.
Proceedings of the 11th IFIP International Conference on New Technologies, 2021

2020
Distributed Artificial Intelligence Solution for D2D Communication in 5G Networks.
IEEE Syst. J., 2020


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