AI-based Resource Prediction in Network Function Virtualization Architectures. - Vincenzo Eramo; Francesco Valente; Francesco Giacinto Lavacca; Tiziana Catena (ICTC, 2021)

Proposal and Investigation of a Convolutional and LSTM Neural Network for the Cost-Aware Resource Prediction in Softwarized Networks. - Vincenzo Eramo; Francesco Valente; Tiziana Catena; Francesco Giacinto Lavacca (Future Internet, 2021)

Perspectives on AI-based Algorithms Applied to C-RAN Functional Splitting and Advanced Antenna System Problem. - Francesco Giacinto Lavacca; Vincenzo Eramo; Antonio Cianfrani; Marco Listanti; Francesco Valente (NOMS, 2022)

Proposal and Investigation of a Processing and Bandwidth Resource Allocation Strategy in LEO Satellite Networks for Earth Observation Applications. - Francesco Valente; Francesco Giacinto Lavacca; Vincenzo Eramo (ICC, 2023)

Neural Graphs: an Effective Solution for the Resource Allocation in NFV Sites interconnected by Elastic Optical Networks. - Vincenzo Eramo; Francesco Giacinto Lavacca; Francesco Valente; V. Filippetti; Antonello Rosato; Alessio Verdone; Massimo Panella (ICTON, 2023)

A Resource Allocation Strategy in Earth Observation Orbital Edge Computing-enabled Satellite Networks to minimize Ground Station Energy Consumption. - Francesco Valente; Francesco Giacinto Lavacca; Vincenzo Eramo (NOMS, 2023)

A max plus algebra based scheduling algorithm for supporting time triggered services in ethernet networks. - Vincenzo Eramo; Tiziana Fiori; Francesco Giacinto Lavacca; Francesco Valente; Andrea Baiocchi; Simone Ciabuschi; Marta Albano; Enrico Cavallini (Comput. Commun., 2023)

Optimal bandwidth and computing resource allocation in low earth orbit satellite constellation for earth observation applications. - Francesco Valente; Vincenzo Eramo; Francesco Giacinto Lavacca (Comput. Networks, 2023)

Proposal and Investigation of a Distributed Learning Strategy for training of Neural Networks in Earth Observation Application Scenarios. - Francesco Valente; Francesco Giacinto Lavacca; Tiziana Fiori; Vincenzo Eramo (NOMS, 2024)

Proposal and Investigation of a Lite Time Sensitive Networking Solution for the Support of Real Time Services in Space Launcher Networks. - Tiziana Fiori; Francesco Giacinto Lavacca; Francesco Valente; Vincenzo Eramo (IEEE Access, 2024)

Proposal and investigation of a distributed learning strategy in Orbital Edge Computing-endowed satellite networks for Earth Observation applications. - Francesco Valente; Francesco Giacinto Lavacca; Tiziana Fiori; Vincenzo Eramo (Comput. Networks, 2024)

Design and evaluation of strategies to minimize operating costs and support in-orbit Distributed Learning within satellite networks for Earth Observation. - Francesco Valente (2024)