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Publications by Year: 2023

2023
Plikas JH, Trakadas P, Kenourgios D. Assessing the Ethical Implications of Artificial Intelligence (AI) and Machine Learning (ML) on Job Displacement Through Automation: A Critical Analysis of Their Impact on Society. In: International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications. Springer Nature Singapore Singapore; 2023. pp. 313–325.
Plikas JH, Trakadas P, Kenourgios D. On the Relationship Between Artificial Intelligence (AI) and Economic Growth (GDP)—the Case of Europe. In: International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications. Springer Nature Singapore Singapore; 2023. pp. 327–342.
Gkonis P, Giannopoulos A, Trakadas P, Masip-Bruin X, D’Andria F. A survey on IoT-edge-cloud continuum systems: status, challenges, use cases, and open issues. Future Internet. 2023;15:383.
Amidi A, Giannopoulos A, Trakadas P. Federated Learning Techniques: From Ethics to Regulation. Available at SSRN 4588972. 2023.
Tsinos C, Spantideas S, Giannopoulos A, Trakadas P. Over-the-Air Computation with Quantized CSI and Discrete Power Control Levels. Wireless Communications and Mobile Computing. 2023;2023:8559701.
Kalafatelis AS, Nomikos N, Angelopoulos A, Trochoutsos C, Trakadas P. An Effective Methodology for Imbalanced Data Handling in Predictive Maintenance for Offset Printing. In: International Conference on Mechatronics and Control Engineering. Springer Nature Singapore Singapore; 2023. pp. 89–98.
Giannopoulos A, Nomikos N, Ntroulias G, Syriopoulos T, Trakadas P. Maritime federated learning for decentralized on-ship intelligence. In: IFIP International Conference on Artificial Intelligence Applications and Innovations. Springer Nature Switzerland Cham; 2023. pp. 195–206.
Chochliouros IP, Kourtis M-A, Xilouris G, Tavernier W, Sanchez EA, Anastassova M, Bolzmacher C, Tcholtchev N, Corsi A, Trakadas P, et al. OASEES: An Innovative scope for a DAO-based programmable swarm solution, for decentralizing AI applications close to data generation locations. In: IFIP International Conference on Artificial Intelligence Applications and Innovations. Springer Nature Switzerland Cham; 2023. pp. 91–105.
Kalafatelis AS, Trochoutsos C, Giannopoulos AE, Angelopoulos A, Trakadas P. A Stacking Ensemble Learning Model for Waste Prediction in Offset Printing. In: Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications. ; 2023. pp. 267–272.
Skianis K, Giannopoulos A, Gkonis P, Trakadas P. Data aging matters: Federated learning-based consumption prediction in smart homes via age-based model weighting. Electronics. 2023;12:3054.
Lavdas S, Gkonis PK, Tsaknaki E, Sarakis L, Trakadas P, PAPADOPOULOS KONSTANTINOS. A Deep Learning Framework for Adaptive Beamforming in Massive MIMO Millimeter Wave 5G Multicellular Networks. Electronics. 2023;12:3555.
Sarlas A, Kalafatelis A, Alexandridis G, Kourtis M-A, Trakadas P. Exploring federated learning for speech-based parkinson’s disease detection. In: Proceedings of the 18th International Conference on Availability, Reliability and Security. ; 2023. pp. 1–6.
Prekas S, Karkazis P, Trakadas P. An energy-aware path enumeration solution based on the path algebra framework. IT Professional. 2023;25:29–35.
Spantideas S, Giannopoulos A, Cambeiro MA, Trullols-Cruces O, Atxutegi E, Trakadas P. Intelligent Mission Critical Services over Beyond 5G Networks: Control Loop and Proactive Overload Detection. In: 2023 International Conference on Smart Applications, Communications and Networking (SmartNets). IEEE; 2023. pp. 1–6.
Giannopoulos A, Spantideas S, Nomikos N, Kalafatelis A, Trakadas P. Learning to fulfill the user demands in 5G-enabled wireless networks through power allocation: A reinforcement learning approach. In: 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN). IEEE; 2023. pp. 1–7.
Nomikos N, Giannopoulos A, Trakadas P, Karagiannidis GK. Uplink NOMA for UAV-aided maritime Internet-of-Things. In: 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN). IEEE; 2023. pp. 1–6.
Skianis K, Giannopoulos A, Kalafatelis A, Trakadas P. Digital Twin for Automated Industrial Optimization: Intelligent Machine Selection via Process Modelling. In: 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT). IEEE; 2023. pp. 84–90.