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michele.scarpiniti@uniroma1.it
Michele Scarpiniti
Professore Associato
Struttura:
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
E-mail:
michele.scarpiniti@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Publications
Title
Published on
Year
VirtFogSim: A parallel toolbox for dynamic energy-delay performance testing and optimization of 5G Mobile-Fog-Cloud virtualized platforms
APPLIED SCIENCES
2019
EcoMobiFog–Design and dynamic optimization of a 5G Mobile-Fog-Cloud Multi-Tier ecosystem for the real-time distributed execution of stream applications
IEEE ACCESS
2019
Frequency-domain adaptive filtering: from real to hypercomplex signal processing
2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019)
2019
SmartFog: Training the Fog for the energy-saving analytics of Smart-Meter data
APPLIED SCIENCES
2019
Convex combination of spline adaptive filters
Proceedings of the 27th European Signal Processing Conference (EUSIPCO2019)
2019
A multimodal dense U-Net for accelerating multiple sclerosis MRI
IEEE International Workshop on Machine Learning for Signal Processing, MLSP
2019
Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers
THE JOURNAL OF SUPERCOMPUTING
2018
A Supervised Machine Learning-Based Sound Identification for Construction Activity Monitoring and Performance Evaluation
Construction Research Congress 2018: Construction Information Technology
2018
Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications
THE JOURNAL OF SUPERCOMPUTING
2018
Fog-supported delay-constrained energy-saving live migration of VMs over multiPath TCP/IP 5G connections
IEEE ACCESS
2018
Fog of social IoT: when the fog becomes social
IEEE NETWORK
2018
Combined sparse regularization for nonlinear adaptive filters
Proceedings of the 26th European Signal Processing Conference (EUSIPCO)
2018
Sparse functional link adaptive filter using an ℓ1-norm regularization
Proceedings - IEEE International Symposium on Circuits and Systems
2018
Spline adaptive filters: Theory and applications
Adaptive Learning Methods for Nonlinear System Modeling
2018
Frequency domain quaternion adaptive filters: Algorithms and convergence performance
SIGNAL PROCESSING
2017
Q*: energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers
COMPUTER COMMUNICATIONS
2017
Combined nonlinear filtering architectures involving sparse functional link adaptive filters
SIGNAL PROCESSING
2017
Fog of everything: energy-efficient networked computing architectures, research challenges, and a case study
IEEE ACCESS
2017
Effective blind source separation based on the adam algorithm
Multidisciplinary approaches to neural computing
2017
On the influence of microphone array geometry on the behavior of hypercomplex adaptive filters
Proc. Microwaves, Radar and Remote Sensing Symposium (MRRS)
2017
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ERC
PE6_11
PE7_7
KET
Big data & computing
Interessi di ricerca
Keywords
audio
adaptive signal processing
complex nonlinear filters
energy aware machine learning
fog computing (FC)
Progetti di Ricerca
DeepFog-2: Optimized distributed implementation of Deep Learning models over networked multitier Fog platforms for IoT stream applications
Vehicular Fog for energy-efficient QoS mining and dissemination of multimedia Big Data streams 2 (V-Fog2)
End-to-End Learning for 3D Acoustic Scene Analysis (ELeSA)
SoFT-2: Fog of Social IoT
Gruppi di ricerca
ISPAMM - Intelligent Signal Processing and MulitiMedia
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