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Maritime Federated Learning for Decentralized On-Ship Intelligence.

, , , , и . AIAI (2), том 676 из IFIP Advances in Information and Communication Technology, стр. 195-206. Springer, (2023)

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Krzysztof Giannopoulos

Nikos Giannopoulos

Athanassios Giannopoulos

Stavros Giannopoulos

Konstantinos Giannopoulos

 

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Towards Closed-loop Automation in 5G Open RAN: Coupling an Open-Source Simulator with xApps., , , , , и . EuCNC, стр. 232-237. IEEE, (2022)Improving Connectivity in 6G Maritime Communication Networks With UAV Swarms., , , , , и . IEEE Access, (2024)Intelligent Mission Critical Services over Beyond 5G Networks: Control Loop and Proactive Overload Detection., , , , , и . SmartNets, стр. 1-6. IEEE, (2023)Towards Zero-Defect Manufacturing: Machine Selection through Unsupervised Learning in the Printing Industry., , , , , и . I-ESA Workshops, том 3214 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Maritime Federated Learning for Decentralized On-Ship Intelligence., , , , и . AIAI (2), том 676 из IFIP Advances in Information and Communication Technology, стр. 195-206. Springer, (2023)Deep Reinforcement Learning for Smart Home Temperature Comfort in IoT-Edge Computing Systems., , , и . MECC@EuroSys, ACM, (2024)Learning to Fulfill the User Demands in 5G-enabled Wireless Networks through Power Allocation: a Reinforcement Learning approach., , , , и . DRCN, стр. 1-7. IEEE, (2023)ISLAND: An Interlinked Semantically-Enriched Blockchain Data Framework., , , , , , , , , и 1 other автор(ы). GECON, том 13072 из Lecture Notes in Computer Science, стр. 207-214. Springer, (2021)Allocating Orders to Printing Machines for Defect Minimization: A Comparative Machine Learning Approach., , , , , , и . AIAI (2), том 647 из IFIP Advances in Information and Communication Technology, стр. 79-88. Springer, (2022)WIP: Demand-Driven Power Allocation in Wireless Networks with Deep Q-Learning., , , , , , , и . WOWMOM, стр. 248-251. IEEE, (2021)