Marco Levorato
Marco Levorato
Computer Science Department, UC Irvine
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Zitiert von
Zitiert von
Residential demand response using reinforcement learning
D O'Neill, M Levorato, A Goldsmith, U Mitra
in Smart Grid Communications (SmartGridComm), 2010 First IEEE International …, 2010
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
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
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
Auction-based charging scheduling with deep learning framework for multi-drone networks
MJ Shin, J Kim, M Levorato
IEEE Transactions on Vehicular Technology 68 (5), 4235-4248, 2019
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
Cognitive interference management in retransmission-based wireless networks
M Levorato, U Mitra, M Zorzi
IEEE Transactions on Information Theory 58 (5), 3023-3046, 2012
KNOWME: a case study in wireless body area sensor network design
U Mitra, BA Emken, S Lee, M Li, V Rozgic, G Thatte, H Vathsangam, ...
IEEE Communications Magazine 50 (5), 116-125, 2012
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
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
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
A Markov framework for error control techniques based on selective retransmission in video transmission over wireless channels
L Badia, N Baldo, M Levorato, M Zorzi
IEEE Journal on Selected Areas in Communications 28 (3), 488-500, 2010
Markov analysis of selective repeat type II hybrid ARQ using block codes
L Badia, M Levorato, M Zorzi
IEEE Transactions on Communications 56 (9), 1434-1441, 2008
Residential Consumer-Centric Demand Side Management
N Ahmed, M Levorato, GP Li
IEEE Transactions on Smart Grid, 2017
Analysis of non-cooperative and cooperative type II hybrid ARQ protocols with AMC over correlated fading channels
JS Harsini, F Lahouti, M Levorato, M Zorzi
IEEE Transactions on Wireless Communications 10 (3), 877-889, 2011
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
Performance analysis of end-to-end security schemes in healthcare IoT
SR Moosavi, E Nigussie, M Levorato, S Virtanen, J Isoaho
Procedia computer science 130, 432-439, 2018
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
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
Adaptive wireless-powered relaying schemes with cooperative jamming for two-hop secure communication
K Lee, JP Hong, HH Choi, M Levorato
IEEE Internet of Things Journal 5 (4), 2793-2803, 2018
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