Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Martina Panfili"'
Autor:
Danilo Menegatti, Alessandro Giuseppi, Francesco Delli Priscoli, Antonio Pietrabissa, Alessandro Di Giorgio, Federico Baldisseri, Mattia Mattioni, Salvatore Monaco, Leonardo Lanari, Martina Panfili, Vincenzo Suraci
Publikováno v:
Healthcare, Vol 11, Iss 15, p 2199 (2023)
Data-driven algorithms have proven to be effective for a variety of medical tasks, including disease categorization and prediction, personalized medicine design, and imaging diagnostics. Although their performance is frequently on par with that of cl
Externí odkaz:
https://doaj.org/article/7790a50ef41b4456a68086712edb4662
Publikováno v:
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)
CoDIT
CoDIT
This paper discusses the problem of assembly line control and introduces an optimal control formulation that can be used to improve the performance of the assembly line, in terms of cycle time minimization, resources’ utilization, etc. A determinis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::263dc2a3d3bdf621ea0e8842bbbbcba4
http://arxiv.org/abs/2009.14549
http://arxiv.org/abs/2009.14549
Autor:
Martina Panfili, Andrea Fiaschetti, Alessandro Giuseppi, Antonio Pietrabissa, Homoud B. Al-Jibreen, Franchisco Delli Priscoli
Publikováno v:
MED
2018 26th Mediterranean Conference on Control and Automation (MED)
Sapienza Università di Roma-IRIS
2018 26th Mediterranean Conference on Control and Automation (MED)
Sapienza Università di Roma-IRIS
This paper presents a control strategy for CyberPhysical System defense developed in the framework of the European Project ATENA, that concerns Critical Infrastructure (CI) protection. The aim of the controller is to find the optimal security configu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8acb93ab8fe5d0305c81178ac9e1b0ae
https://doi.org/10.1109/med.2018.8442695
https://doi.org/10.1109/med.2018.8442695
Autor:
Alessandro Di Giorgio, Alessandro Giuseppi, Martina Panfili, Antonio Pietrabissa, Vincenzo Suraci, Francesco Delli Priscoli
The programmability and the virtualisation of network resources are crucial to deploy scalable Information and Communications Technology (ICT) services. The increasing demand of cloud services, mainly devoted to the storage and computing, requires a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9a26d40c8388e52335cb171d418d99d
http://hdl.handle.net/11573/898050
http://hdl.handle.net/11573/898050
Autor:
Federico Lisi, F. Delli Priscoli, Martina Panfili, A. Di Giorgio, Silvia Canale, L. Ricciardi Celsi, Vincenzo Suraci
Publikováno v:
MED
2016 24th Mediterranean Conference on Control and Automation (MED)
2016 24th Mediterranean Conference on Control and Automation (MED)
Intelligent Transportation Systems (ITS) arechanging the way people plan a journey and travel around theworld. Advanced mobility information systems, as well asintelligent multimodal mobility services, may take considerableadvantage of consolidated t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6072194a2d155182cb88eba588aa772f
https://doi.org/10.1109/med.2016.7535967
https://doi.org/10.1109/med.2016.7535967
This paper proposes a reinforcement learning-based lexicographic approach to the call admission control problem in communication networks. The admission control problem is modelled as a multi-constrained Markov decision process. To overcome the probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::645dcc6687ee2a2207df9ccd418ffc4d
http://hdl.handle.net/11573/787478
http://hdl.handle.net/11573/787478
Autor:
Salvatore Monaco, Claudio Gori Giorgi, Vincenzo Suraci, Martina Panfili, Lorenzo Ricciardi Celsi, Federico Cimorelli, Stefano Battilotti, Francesco Delli Priscoli
Publikováno v:
MED
The paper describes an innovative and fully cognitive approach which offers the opportunity to cope with some key limitations of the present telecommunication networks by means of the introduction of a novel architecture design in the perspective of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f13f3a9dcc55eae8c3eb7f9736f09051
https://doi.org/10.1109/med.2015.7158895
https://doi.org/10.1109/med.2015.7158895
Publikováno v:
CloudCom (1)
Cloud technologies can nowadays be considered as commodities. The possibility of getting access to storage, computing and networking virtual resources empowers any business that needs dynamic IT capabilities. The Cloud Management Broker (CMB) plays a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43e3c100fea3d4994647aa566dd225ec
https://doi.org/10.1109/cloudcom.2013.24
https://doi.org/10.1109/cloudcom.2013.24
Autor:
Antonio Pietrabissa, Martina Panfili
Publikováno v:
MED
This paper proposes a Reinforcement Learning-based lexicographic approach to the Call Admission Control (CAC) problem in communication networks. The CAC problem is modeled as a multi-constrained Markov Decision Problem (MDP). To overcome the problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27e5cadd8e89c9d18e8032ed65ebdc7d
http://hdl.handle.net/11573/536461
http://hdl.handle.net/11573/536461
Autor:
A. Di Giorgio, Martina Panfili, Andrea Lanna, Antonio Pietrabissa, Andrea Mercurio, Silvia Canale
Publikováno v:
IEEE Transactions on Smart Grid
This paper deals with the problem of deploying a PowerLine Communication (PLC) network over a medium voltage (MV) power grid. The PLC network is used to connect the end nodes (ENs) of the MV grid to the service provider by means of PLC network nodes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::606a18bc42229640426895c556e0351b
http://hdl.handle.net/11573/481604
http://hdl.handle.net/11573/481604