Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Marco, Re"'
Autor:
Lorenzo Canese, Gian Carlo Cardarilli, Riccardo la Cesa, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Marco Re, Sergio Spano
Publikováno v:
IEEE Access, Vol 12, Pp 92560-92572 (2024)
Hardware implementations represent the major challenges when digital signal processors for ultra-wideband (UWB) signals must be developed. Due to the limitation of the maximum clock rate in digital devices, systems with high sampling rates (above GHz
Externí odkaz:
https://doaj.org/article/d12e704da9d14109a5c21878b9b76b97
Autor:
Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Marco Re, Sergio Spanò
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This paper proposes DQ-RTS, a novel decentralized Multi-Agent Reinforcement Learning algorithm designed to address challenges posed by non-ideal communication and a varying number of agents in distributed environments. DQ-RTS incorporates an
Externí odkaz:
https://doaj.org/article/6395a4506cfd4295970d589f66104e77
Design Space Exploration for Edge Machine Learning Featured by MathWorks FPGA DL Processor: A Survey
Autor:
Stefano Bertazzoni, Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Marco Re, Sergio Spano
Publikováno v:
IEEE Access, Vol 12, Pp 9418-9439 (2024)
This paper proposes a Design Space Exploration for Edge machine learning through the utilization of the novel MathWorks FPGA Deep Learning Processor IP, featured in the HDL Deep Learning toolbox. With the ever-increasing demand for real-time machine
Externí odkaz:
https://doaj.org/article/154825a88684484eaaaf5bb2425c3f6a
Autor:
Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Marco Re, Alberto Nannarelli, Sergio Spano
Publikováno v:
IEEE Access, Vol 11, Pp 98586-98595 (2023)
In digital systems, the Residue Number System (RNS) represents an interesting alternative to the traditional two’s complement representation. Its performance and low-power properties have attracted significant research interest over the years. In t
Externí odkaz:
https://doaj.org/article/a9f881b779a547f89c263bb080f9d9d8
Autor:
Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Alberto Nannarelli, Marco Re, Sergio Spanò
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract In this work a novel architecture, named pseudo-softmax, to compute an approximated form of the softmax function is presented. This architecture can be fruitfully used in the last layer of Neural Networks and Convolutional Neural Networks fo
Externí odkaz:
https://doaj.org/article/7fd239c516c54de8b74b325a8777bbfd
Autor:
Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Hamed Famil Ghadakchi, Marco Re, Sergio Spanò
Publikováno v:
Sensors, Vol 22, Iss 22, p 8830 (2022)
Traffic sign detection systems constitute a key component in trending real-world applications such as autonomous driving and driver safety and assistance. In recent years, many learning systems have been used to help detect traffic signs more accurat
Externí odkaz:
https://doaj.org/article/e8ddb9426685480d96d7cb19b03884bb
Autor:
Sergio Spano, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Marco Matta, Alberto Nannarelli, Marco Re
Publikováno v:
IEEE Access, Vol 7, Pp 186340-186351 (2019)
In this paper we propose an efficient hardware architecture that implements the Q-Learning algorithm, suitable for real-time applications. Its main features are low-power, high throughput and limited hardware resources. We also propose a technique ba
Externí odkaz:
https://doaj.org/article/f1701f938224454db48a67f74210b57d
Autor:
Marco Matta, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Alberto Nannarelli, Marco Re, Sergio Spano
Publikováno v:
IEEE Access, Vol 7, Pp 124147-124157 (2019)
Machine Learning (ML) based on supervised and unsupervised learning models has been recently applied in the telecommunication field. However, such techniques rely on application-specific large datasets and the performance deteriorates if the statisti
Externí odkaz:
https://doaj.org/article/52c83e439292474382c3dc74e78b62d0
Autor:
Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Alberto Nannarelli, Marco Re, Sergio Spanò
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-2 (2021)
Externí odkaz:
https://doaj.org/article/d4c7081cfe924628802e14077928617c
Autor:
Morena Petrini, Margherita Tumedei, Alessandro Cipollina, Simonetta D’Ercole, Maria Stella Di Carmine, Adriano Piattelli, Marco Re, Giovanna Iezzi
Publikováno v:
Applied Sciences, Vol 12, Iss 5, p 2683 (2022)
(1) Background: Recently, novel dental implants that are characterized by different levels of surface roughness in the distinct parts of the fixture’s body have been introduced in the market. These surface characteristics could affect the primary s
Externí odkaz:
https://doaj.org/article/3142eee03e6442a2ba8aa2e0c0a6480b