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Antonio Di Maio
Antonio Di Maio
Postdoctoral Researcher, University of Bern, Switzerland
Dirección de correo verificada de unibe.ch - Página principal
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Enabling SDN in VANETs: What is the impact on security?
A Di Maio, MR Palattella, R Soua, L Lamorte, X Vilajosana, ...
Sensors 16 (12), 2077, 2016
682016
A novel approach to evaluate blood parameters using computer vision techniques
V Bevilacqua, G Dimauro, F Marino, A Brunetti, F Cassano, A Di Maio, ...
2016 IEEE international symposium on medical measurements and applications …, 2016
642016
Ares: Adaptive resource-aware split learning for internet of things
E Samikwa, A Di Maio, T Braun
Computer Networks 218, 109380, 2022
602022
SDN coordination for CCN and FC content dissemination in VANETs
R Soua, E Kalogeiton, G Manzo, JM Duarte, MR Palattella, A Di Maio, ...
Ad Hoc Networks: 8th International Conference, ADHOCNETS 2016, Ottawa …, 2017
532017
A multi-pronged approach to adaptive and context aware content dissemination in VANETs
JM Duarte, E Kalogeiton, R Soua, G Manzo, MR Palattella, AD Maio, ...
Mobile Networks and Applications 23, 1247-1259, 2018
452018
A centralized approach for setting floating content parameters in VANETs
A Di Maio, R Soua, MR Palattella, T Engel, GA Rizzo
2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC …, 2017
242017
Adaptive early exit of computation for energy-efficient and low-latency machine learning over iot networks
E Samikwa, A Di Maio, T Braun
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC …, 2022
232022
Predictive UAV base station deployment and service offloading with distributed edge learning
Z Zhao, L Pacheco, H Santos, M Liu, A Di Maio, D Rosário, E Cerqueira, ...
IEEE Transactions on Network and Service Management 18 (4), 3955-3972, 2021
222021
Multi-flow congestion-aware routing in software-defined vehicular networks
A Di Maio, MR Palattella, T Engel
2019 IEEE 90th vehicular technology conference (VTC2019-Fall), 1-6, 2019
222019
Disnet: Distributed micro-split deep learning in heterogeneous dynamic iot
E Samikwa, A Di Maio, T Braun
IEEE internet of things journal 11 (4), 6199-6216, 2023
142023
ROADNET: Fairness-and throughput-enhanced scheduling for content dissemination in VANETs
A Di Maio, R Soua, MR Palattella, T Engel
2018 IEEE International Conference on Communications Workshops (ICC …, 2018
132018
Coordination mechanisms for floating content in realistic vehicular scenario
G Manzo, R Soua, A Di Maio, T Engel, MR Palattella, G Rizzo
2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2017
112017
Performance analysis of MANET routing protocols in urban VANETs
A Di Maio, MR Palattella, T Engel
Ad-Hoc, Mobile, and Wireless Networks: 18th International Conference on Ad …, 2019
102019
A computer vision and control algorithm to follow a human target in a generic environment using a drone
V Bevilacqua, A Di Maio
Intelligent Computing Methodologies: 12th International Conference, ICIC …, 2016
102016
An online multi-dimensional knapsack approach for slice admission control
J Ajayi, A Di Maio, T Braun, D Xenakis
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 152-157, 2023
92023
Service chaining graph: Latency-and energy-aware mobile vr deployment over mec infrastructures
A Medeiros, A Di Maio, T Braun, A Neto
GLOBECOM 2022-2022 IEEE Global Communications Conference, 6133-6138, 2022
82022
DFL: Dynamic federated split learning in heterogeneous IoT
E Samikwa, A Di Maio, T Braun
IEEE transactions on machine learning in communications and networking, 2024
72024
Deepndn: Opportunistic data replication and caching in support of vehicular named data
G Manzo, E Kalogeiton, A Di Maio, T Braun, MR Palattella, I Turcanu, ...
2020 IEEE 21st International Symposium on" A World of Wireless, Mobile and …, 2020
72020
Tenet: Adaptive service chain orchestrator for mec-enabled low-latency 6dof virtual reality
A Medeiros, A Di Maio, T Braun, A Neto
IEEE Transactions on Network and Service Management 21 (2), 1894-1911, 2023
62023
Rc-tl: Reinforcement convolutional transfer learning for large-scale trajectory prediction
N Emami, L Pacheco, A Di Maio, T Braun
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2022
62022
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Artículos 1–20