Articles with public access mandates - Marco LevoratoLearn more
Not available anywhere: 10
Energy-efficient, heterogeneous sensor selection for physical activity detection in wireless body area networks
DS Zois, M Levorato, U Mitra
IEEE Transactions on signal processing 61 (7), 1581-1594, 2013
Mandates: US National Institutes of Health
Aging aware random channel access for battery-powered wireless networks
R Valentini, M Levorato, F Santucci
IEEE Wireless Communications Letters 5 (2), 176-179, 2016
Mandates: Government of Italy
Optimal aging–aware channel access and power allocation for battery–powered devices with radio frequency energy harvesting
R Valentini, M Levorato, F Santucci
IEEE Transactions on Communications 66 (11), 5773-5787, 2018
Mandates: Government of Italy
Kalman-like state tracking and control in POMDPs with applications to body sensing networks
DS Zois, M Levorato, U Mitra
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Mandates: US National Institutes of Health
Optimal aging-aware channel access control for wireless networks with energy harvesting
R Valentini, M Levorato
2016 IEEE International Symposium on Information Theory (ISIT), 2754-2758, 2016
Mandates: Government of Italy
Non-linear smoothers for discrete-time, finite-state Markov chains
DS Zois, M Levorato, U Mitra
2013 IEEE International Symposium on Information Theory, 2099-2103, 2013
Mandates: US National Institutes of Health
Heterogeneous time-resource allocation in wireless body area networks for green, maximum likelihood activity detection
DS Zois, M Levorato, U Mitra
2012 IEEE International Conference on Communications (ICC), 3399-3403, 2012
Mandates: US National Institutes of Health
Cloud-backed mobile cognition: Power-efficient deep learning in the autonomous vehicle era
A Vega, A Buyuktosunoglu, D Callegaro, M Levorato, P Bose
Computing, 1-19, 2022
Mandates: US Department of Defense
Benchmarking Different Strategies for Offloading ROS2 Computation to the Edge
D Cacciabue, J Marino, F Aglieco, M Levorato, D Perroni, F Risso
2024 IEEE 10th International Conference on Network Softwarization (NetSoft …, 2024
Mandates: European Commission
Edge Computing with Early Exiting for Adaptive Inference in Mobile Autonomous Systems
S Angelucci, R Valentini, M Levorato, F Santucci, CF Chiasserini
ICC 2024-IEEE International Conference on Communications, 2980-2985, 2024
Mandates: European Commission
Available somewhere: 54
Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing
W Xu, Z Yang, DWK Ng, M Levorato, YC Eldar, M Debbah
IEEE journal of selected topics in signal processing 17 (1), 9-39, 2023
Mandates: Australian Research Council, National Natural Science Foundation of China
HiCH: Hierarchical fog-assisted computing architecture for healthcare IoT
I Azimi, A Anzanpour, AM Rahmani, T Pahikkala, M Levorato, P Liljeberg, ...
ACM Transactions on Embedded Computing Systems (TECS) 16 (5s), 1-20, 2017
Mandates: European Commission
Split computing and early exiting for deep learning applications: Survey and research challenges
Y Matsubara, M Levorato, F Restuccia
ACM Computing Surveys 55 (5), 1-30, 2022
Mandates: US National Science Foundation
Extended range electric vehicle with driving behavior estimation in energy management
K Vatanparvar, S Faezi, I Burago, M Levorato, MA Al Faruque
IEEE transactions on Smart Grid 10 (3), 2959-2968, 2018
Mandates: US National Science Foundation
FlyNetSim: An open source synchronized UAV network simulator based on ns-3 and ardupilot
S Baidya, Z Shaikh, M Levorato
Proceedings of the 21st ACM International Conference on Modeling, Analysis …, 2018
Mandates: US National Science Foundation
Distilled split deep neural networks for edge-assisted real-time systems
Y Matsubara, S Baidya, D Callegaro, M Levorato, S Singh
Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and …, 2019
Mandates: US Department of Defense
Residential Consumer-Centric Demand Side Management
N Ahmed, M Levorato, GP Li
IEEE Transactions on Smart Grid, 2017
Mandates: US National Science Foundation
Head network distillation: Splitting distilled deep neural networks for resource-constrained edge computing systems
Y Matsubara, D Callegaro, S Baidya, M Levorato, S Singh
IEEE Access 8, 212177-212193, 2020
Mandates: US National Science Foundation, US Department of Defense
Supervised compression for resource-constrained edge computing systems
Y Matsubara, R Yang, M Levorato, S Mandt
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
Mandates: US National Science Foundation, US Department of Defense
Neural compression and filtering for edge-assisted real-time object detection in challenged networks
Y Matsubara, M Levorato
2020 25th International Conference on Pattern Recognition (ICPR), 2272-2279, 2021
Mandates: US National Science Foundation, US Department of Defense
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