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AMOROSA, LORENZO MARIO

AMOROSA, LORENZO MARIO  

DEI - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"  

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Titolo Autore(i) Anno Periodico Editore Tipo File
5G Architectures Enabling Remaining Useful Life Estimation for Industrial IoT: A Holistic Study Longhi, Nicolò; Amorosa, Lorenzo Mario; Cavallero, Sara; Buracchini, Enrico; Verdone, Roberto 2025-01-01 IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY - 1.01 Articolo in rivista 5G_Architectures_Enabling_Remaining_Useful_Life_Estimation_for_Industrial_IoT_A_Holistic_Study.pdf
GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation using Bayesian Learning Verdone, Roberto; Lombardi, Michele; Amorosa, Lorenzo Mario; Skocaj, Marco 2024-01-01 IEEE TRANSACTIONS ON MOBILE COMPUTING - 1.01 Articolo in rivista 2024_GUMBLE_Uncertainty_Aware_Conditional_Mobile_Data_Generation.pdf
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs Amorosa, L. M.; Skocaj, M.; Verdone, R.; Gunduz, D. 2024-01-01 - Institute of Electrical and Electronics Engineers Inc. 4.01 Contributo in Atti di convegno -
An End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks Amorosa, Lorenzo Mario; Longhi, Nicolò; Cuozzo, Giampaolo; Bachan, Weronika Maria; Lieti, Valerio... espandi; Buracchini, Enrico; Verdone, Roberto 2023-01-01 - IEEE 4.01 Contributo in Atti di convegno -
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs Amorosa, LORENZO MARIO; Skocaj, Marco; Verdone, Roberto; Gündüz, Deniz 2023-01-01 - - 4.01 Contributo in Atti di convegno -
Cellular network capacity and coverage enhancement with MDT data and Deep Reinforcement Learning Marco Skocaj; Lorenzo M. Amorosa; Giorgio Ghinamo; Giuliano Muratore; Davide Micheli; Flavio Zabi... espandini; Roberto Verdone 2022-01-01 COMPUTER COMMUNICATIONS - 1.01 Articolo in rivista cellular network post print.pdf