Francesco Valente

Orcid: 0000-0003-0220-8457

According to our database1, Francesco Valente authored at least 12 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Design and evaluation of strategies to minimize operating costs and support in-orbit Distributed Learning within satellite networks for Earth Observation.
PhD thesis, 2024

Proposal and investigation of a distributed learning strategy in Orbital Edge Computing-endowed satellite networks for Earth Observation applications.
Comput. Networks, 2024

Proposal and Investigation of a Lite Time Sensitive Networking Solution for the Support of Real Time Services in Space Launcher Networks.
IEEE Access, 2024

Proposal and Investigation of a Distributed Learning Strategy for training of Neural Networks in Earth Observation Application Scenarios.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

2023
Optimal bandwidth and computing resource allocation in low earth orbit satellite constellation for earth observation applications.
Comput. Networks, August, 2023

A max plus algebra based scheduling algorithm for supporting time triggered services in ethernet networks.
Comput. Commun., 2023

A Resource Allocation Strategy in Earth Observation Orbital Edge Computing-enabled Satellite Networks to minimize Ground Station Energy Consumption.
Proceedings of the NOMS 2023, 2023

Neural Graphs: an Effective Solution for the Resource Allocation in NFV Sites interconnected by Elastic Optical Networks.
Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023

Proposal and Investigation of a Processing and Bandwidth Resource Allocation Strategy in LEO Satellite Networks for Earth Observation Applications.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Perspectives on AI-based Algorithms Applied to C-RAN Functional Splitting and Advanced Antenna System Problem.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

2021
Proposal and Investigation of a Convolutional and LSTM Neural Network for the Cost-Aware Resource Prediction in Softwarized Networks.
Future Internet, 2021

AI-based Resource Prediction in Network Function Virtualization Architectures.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021


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