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Dimitri Belli
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2020 – today
- 2024
- [j8]Dimitri Belli
, Paolo Barsocchi
Connectivity Standards Alliance Matter: State of the art and opportunities. Internet Things 25: 101005 (2024) - 2023
- [c10]Dimitri Belli, Alessandro Fantechi, Stefania Gnesi, Laura Masullo, Franco Mazzanti, Lisa Quadrini, Daniele Trentini, Carlo Vaghi:
The 4SECURail Case Study on Rigorous Standard Interface Specifications. FMICS 2023: 22-39 - [i1]Gabriele Tolomei, Edoardo Gabrielli, Dimitri Belli, Vittorio Miori:
A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates. CoRR abs/2303.16668 (2023) - 2022
- [c9]Dimitri Belli, Paolo Barsocchi, Edoardo Gabrielli, Davide La Rosa, Vittorio Miori, Filippo Palumbo, Dario Russo, Gabriele Tolomei:
ChAALenge: An Ambient Assisted Living Project to Promote an Active and Health Ageing. AIxAS@AI*IA 2022: 42-58 - [c8]Franco Mazzanti
The 4SECURail Formal Methods Demonstrator. RSSRail 2022: 149-165 - [c7]Dimitri Belli
A Case Study in Formal Analysis of System Requirements. SEFM Workshops 2022: 164-173 - [c6]Franco Mazzanti, Dimitri Belli:
Formal Modeling and Initial Analysis of the 4SECURail Case Study. MARS@ETAPS 2022: 118-144 - 2021
- [j7]Michele Girolami
How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing. Sensors 21(19): 6397 (2021) - 2020
- [b1]Dimitri Belli:
Edge Selection Strategies for Human-enabled Sensing Architectures. University of Pisa, Italy, 2020 - [j6]Dimitri Belli
Optimization strategies for the selection of mobile edges in hybrid crowdsensing architectures. Comput. Commun. 157: 132-142 (2020) - [j5]Dimitri Belli
A Probabilistic Model for the Deployment of Human-Enabled Edge Computing in Massive Sensing Scenarios. IEEE Internet Things J. 7(3): 2421-2431 (2020) - [j4]Dimitri Belli
The rhythm of the crowd: Properties of evolutionary community detection algorithms for mobile edge selection. Pervasive Mob. Comput. 67: 101231 (2020) - [c5]Paolo Barsocchi
Impact of Evolutionary Community Detection Algorithms for Edge Selection Strategies. GLOBECOM 2020: 1-6
2010 – 2019
- 2019
- [j3]Paolo Bellavista
A Social-Driven Edge Computing Architecture for Mobile Crowd Sensing Management. IEEE Commun. Mag. 57(4): 68-73 (2019) - [j2]Dimitri Belli
Toward Fog-Based Mobile Crowdsensing Systems: State of the Art and Opportunities. IEEE Commun. Mag. 57(12): 78-83 (2019) - [j1]Michele Girolami
Collaborative Service Discovery in Mobile Social Networks. J. Netw. Syst. Manag. 27(1): 233-268 (2019) - [c4]Dimitri Belli
Selection of Mobile Edges for a Hybrid CrowdSensing Architecture. ISCC 2019: 1-6 - [c3]Dimitri Belli
A Capacity-Aware User Recruitment Framework for Fog-Based Mobile Crowd-Sensing Platforms. ISCC 2019: 1-6 - 2018
- [c2]Dimitri Belli
Enhancing Mobile Edge Computing Architecture with Human-Driven Edge Computing Model. Intelligent Environments 2018: 95-98 - [c1]Dimitri Belli
A Social-Based Approach to Mobile Edge Computing. ISCC 2018: 292-297
Coauthor Index
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last updated on 2024-06-10 20:30 CEST by the dblp team
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