Risultati ricerca pubblicazioni

Differentiable branching in deep networks for fast inference

pubblicato su: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings - 2020
Scardapane S., Comminiello D., Scarpiniti M., Baccarelli E., Uncini A.

Why should we add early exits to neural networks?

pubblicato su: COGNITIVE COMPUTATION - 2020
Scardapane S., Scarpiniti M., Baccarelli E., Uncini A.

Energy-efficient adaptive resource management for real-time vehicular cloud services

pubblicato su: IEEE TRANSACTIONS ON CLOUD COMPUTING - 2019
Shojafar M., Cordeschi N., Baccarelli Enzo

VirtFogSim: A parallel toolbox for dynamic energy-delay performance testing and optimization of 5G Mobile-Fog-Cloud virtualized platforms

pubblicato su: APPLIED SCIENCES - 2019
Scarpiniti Michele, Baccarelli Enzo, Momenzadeh Alireza

EcoMobiFog–Design and dynamic optimization of a 5G Mobile-Fog-Cloud Multi-Tier ecosystem for the real-time distributed execution of stream applications

pubblicato su: IEEE ACCESS - 2019
Baccarelli Enzo, Scarpiniti Michele, Momenzadeh Alireza

SmartFog: Training the Fog for the energy-saving analytics of Smart-Meter data

pubblicato su: APPLIED SCIENCES - 2019
Scarpiniti M., Baccarelli E., Momenzadeh A., Uncini A.

Fairness-constrained optimized time-window controllers for secondary-users with primary-user reliability guarantees

pubblicato su: COMPUTER COMMUNICATIONS - 2018
Cordeschi Nicola, Amendola Danilo, Baccarelli Enzo

Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers

pubblicato su: THE JOURNAL OF SUPERCOMPUTING - 2018
Scarpiniti Michele, Baccarelli Enzo, Vinueza Naranjo Paola G., Uncini Aurelio

Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications

pubblicato su: THE JOURNAL OF SUPERCOMPUTING - 2018
Vinueza Naranjo Paola G., Baccarelli Enzo, Scarpiniti Michele

Fog-supported delay-constrained energy-saving live migration of VMs over multiPath TCP/IP 5G connections

pubblicato su: IEEE ACCESS - 2018
Baccarelli Enzo, Scarpiniti Michele, Momenzadeh Alireza

Fog of social IoT: when the fog becomes social

pubblicato su: IEEE NETWORK - 2018
Baccarelli Enzo, Scarpiniti Michele, Naranjo Paola G. Vinueza, Vaca-Cardenas Leticia

A multi-hop broadcast wave approach for floating car data collection in vehicular networks

pubblicato su: VEHICULAR COMMUNICATIONS - 2020
Turcanu Ion, Salvo Pierpaolo, Baiocchi Andrea, Cuomo Francesca, Engel Thomas

‘Good to repeat’: Making random access near-optimal with repeated contentions

pubblicato su: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS - 2020
Baiocchi Andrea, Garlisi Domenico, Valvo Alice Lo, Santaromita Giuseppe, Tinnirello Ilenia

Frame-by-frame Wi-Fi attack detection algorithm with scalable and modular machine-learning design

pubblicato su: APPLIED SOFT COMPUTING - 2020
RIZZI Antonello, GRANATO GIUSEPPE, BAIOCCHI Andrea

Epidemic and timer-based message dissemination in VANETs: A performance comparison

pubblicato su: ELECTRONICS - 2020
Spadaccino P., Cuomo F., Baiocchi A.

Network Traffic Engineering - Stochastic Models and Applications

pubblicato su: - 2020
Baiocchi Andrea

Traffic management and networking for autonomous vehicular highway systems

pubblicato su: AD HOC NETWORKS - 2019
Rubin Izhak, Baiocchi Andrea, Sunyoto Yulia, Turcanu Ion

EPIC: an epidemic based dissemination algorithm for VANETs

pubblicato su: 1st ACM MobiHoc Workshop on Technologies, mOdels, and Protocols for Cooperative Connected Cars - 2019
Spadaccino Pietro, Conti Pierfrancesco, Boninsegna Elia, Cuomo Francesca, Baiocchi Andrea

Moving RTS/CTS to the frequency domain: an efficient contention scheme for 802.11ax networks

pubblicato su: Proceedings of the 31st International Teletraffic Congress, ITC 2019 - 2019
Baiocchi A., Garlisi D., Santaromita G., Tinnirello I.

Duplicate suppression for efficient floating car data collection in heterogeneous LTE-DSRC vehicular networks

pubblicato su: COMPUTER COMMUNICATIONS - 2018
Turcanu Ion, Klingler Florian, Sommer Christoph, Baiocchi Andrea, Dressler Falko

Analysis of pure and slotted ALOHA with multi-packet reception and variable packet size

pubblicato su: IEEE COMMUNICATIONS LETTERS - 2018
Baiocchi Andrea, Ricciato Fabio

From raw data packets to ingress egress traffic matrix: the distributed mapreduce-based solution

pubblicato su: IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018 - 2018
Polverini Marco, Cianfrani Antonio, Baiocchi Andrea, Listanti Marco, Salvatore Valentina

Routing perturbation for traffic matrix evaluation in a segment routing network

pubblicato su: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT - 2018
Polverini Marco, Cianfrani Antonio, Listanti Marco, Baiocchi Andrea

Poster: Performance evaluation of an open-source audio-video bridging/time-sensitive networking testbed for automotive ethernet

pubblicato su: IEEE Vehicular Networking Conference, VNC - 2018
Xu TENG ANDREA, Adamsky F., Turcanu I., Soua R., Kobel C., Engel T., Baiocchi A.

Low-power global navigation satellite system-enabled wireless sensor network for acoustic emission localisation in aerospace components

pubblicato su: STRUCTURAL CONTROL & HEALTH MONITORING - 2020
Gianni C., Balsi M., Esposito S., Ciampa F.

Machine learning algorithms to predict tree-related microhabitats using airborne laser scanning

pubblicato su: REMOTE SENSING - 2020
Santopuoli Giovanni, Di Febbraro Mirko, Maesano Mauro, Balsi Marco, Marchetti Marco, Lasserre Bruno

ALS data for detecting habitat trees in a multi-layered mediterranean forest

pubblicato su: Earth observation advancements in a changing world - 2019
Santopuoli G., Di Febbraro M., Alvites C., Balsi M., Marchetti M., Lasserre B.

Hyperspectral characterization of marine plastic litters

pubblicato su: 2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2018 - Proceedings - 2019
Balsi Marco, Esposito Salvatore, Moroni Monica

Operational characterization of CSFH MEMS technology based hinges

pubblicato su: JOURNAL OF MICROMECHANICS AND MICROENGINEERING - 2018
Crescenzi Rocco, Balucani Marco, Belfiore Nicola Pio

Graph signal processing in the presence of topology uncertainties

pubblicato su: IEEE TRANSACTIONS ON SIGNAL PROCESSING - 2020
Ceci Elena, Barbarossa Sergio

Dynamic computation offloading in multi-access edge computing via ultra-reliable and low-latency communications

pubblicato su: IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS - 2020
Merluzzi M., Di Lorenzo P., Barbarossa S., Frascolla V.

Distributed signal processing and optimization based on in-network subspace projections

pubblicato su: IEEE TRANSACTIONS ON SIGNAL PROCESSING - 2020
Di Lorenzo Paolo, Barbarossa Sergio, Sardellitti Stefania

Dynamic resource allocation for wireless edge machine learning with latency and accuracy guarantees

pubblicato su: Prooceedings of IEEE International Conference on Acoustic Speech and Signal Processing (ICASSP 2020) - 2020
Merluzzi Mattia, Di Lorenzo Paolo, Barbarossa Sergio

Graph-based learning under perturbations via total least-squares

pubblicato su: IEEE TRANSACTIONS ON SIGNAL PROCESSING - 2020
Ceci Elena, Shen Yanning, Giannakis Georgios B., Barbarossa Sergio

Topological signal processing over simplicial complexes

pubblicato su: IEEE TRANSACTIONS ON SIGNAL PROCESSING - 2020
Barbarossa Sergio, Sardellitti Stefania

Learning and management for internet of things. Accounting for adaptivity and scalability

pubblicato su: PROCEEDINGS OF THE IEEE - 2019
Chen Tianyi, Barbarossa Sergio, WANG XIN, Giannakis Georgios B., Zhang Zhi-Li

Graph topology inference based on sparsifying transform learning

pubblicato su: IEEE TRANSACTIONS ON SIGNAL PROCESSING - 2019
Sardellitti Stefania, Barbarossa Sergio, Di Lorenzo Paolo

Dynamic joint resource allocation and user assignment in multi-access edge computing

pubblicato su: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - 2019
Merluzzi Mattia, DI LORENZO Paolo, Barbarossa Sergio

Joint resource allocation for latency-constrained dynamic computation offloading with MEC

pubblicato su: IEEE Wireless Communications and Networking Conference - 2019
MERLUZZI MATTIA, DI LORENZO PAOLO, BARBAROSSA Sergio, Frascolla Valerio

Latency-constrained dynamic computation offloading with energy harvesting IoT devices

pubblicato su: IEEE International Conference on Computer Communications - 2019
MERLUZZI MATTIA, DI LORENZO PAOLO, BARBAROSSA Sergio

6G: The next frontier: From holographic messaging to artificial intelligence using subterahertz and visible light communication

pubblicato su: IEEE VEHICULAR TECHNOLOGY MAGAZINE - 2019
Calvanese Strinati E., Barbarossa S., Gonzalez-Jimenez J. L., Ktenas D., Cassiau N., Maret L., Dehos C.

Network energy efficient mobile edge computing with reliability guarantees

pubblicato su: 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings - 2019
Merluzzi Mattia, dI Pietro Nicola, DI LORENZO PAOLO, Calvanese Strinati Emilio, Barbarossa Sergio

Enabling prediction via multi-layer graph inference and sampling

pubblicato su: 2019 13th International Conference on Sampling Theory and Applications, SampTA 2019 - 2019
Sardellitti S., Barbarossa S., Di Lorenzo P.

Distributed signal recovery based on in-network subspace projections

pubblicato su: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings - 2019
Di Lorenzo P., Barbarossa S., Sardellitti S.

Distributed adaptive learning of graph processes via in-network subspace projections

pubblicato su: Conference Record - Asilomar Conference on Signals, Systems and Computers - 2019
DI Lorenzo P., Barbarossa S., Sardellitti S.

Optimal association of mobile users to multi-access edge computing resources

pubblicato su: IEEE International Conference on Communications Workshops 2018 - Proceedings - 2018
Sardellitti Stefania, Merluzzi Mattia, Barbarossa Sergio

Adaptive graph signal processing: algorithms and optimal sampling strategies

pubblicato su: IEEE TRANSACTIONS ON SIGNAL PROCESSING - 2018
Di Lorenzo P., Banelli P., Isufi E., Leus G., Barbarossa S.

Sampling and recovery of graph signals

pubblicato su: Cooperative and Graph Signal Processing - 2018
DI LORENZO PAOLO, BARBAROSSA Sergio, BANELLI PAOLO

Optimal power and bit allocation for graph signal interpolation

pubblicato su: IEEE ICASSP 2018 - 2018
DI LORENZO Paolo, Barbarossa Sergio, Banelli Paolo

Learning from signals defined over simplicity complexes

pubblicato su: 2018 IEEE Data Science Workshop, DSW 2018 - Proceedings - 2018
Barbarossa S., Sardellitti S., Ceci E.

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