Zobrazeno 1 - 10
of 256
pro vyhledávání: '"Iakovos S. Venieris"'
Publikováno v:
IEEE Access, Vol 11, Pp 65153-65169 (2023)
The ever-increasing and diverse user demands as well as the need for uninterrupted access to the medium with minimum latency in dense machine type communication networks, are the key driving forces to a holistic network redesign. In this context, fif
Externí odkaz:
https://doaj.org/article/f0541a5e61914a0fa0c2d7de398ae24e
Publikováno v:
IEEE Access, Vol 10, Pp 83507-83528 (2022)
In this survey, a comprehensive study is provided, regarding the use of machine learning (ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) wireless cellular networks. The ever-increasing user requirements, thei
Externí odkaz:
https://doaj.org/article/db313be6a851486581073a19366ab587
Autor:
Maria A. Seimeni, Panagiotis K. Gkonis, Dimitra I. Kaklamani, Iakovos S. Venieris, Christos A. Papavasiliou
Publikováno v:
ICT Express, Vol 1, Iss 3, Pp 110-115 (2015)
The primary goal of this study is to develop a simulation platform that ensures a synergy between WiMAX and WiFi at the PHY and MAC layers, manages the available resources efficiently, mitigates electromagnetic interference (EMI), and enhances the ov
Externí odkaz:
https://doaj.org/article/f04e2a05e49848fca1949ee04c40fdd8
Autor:
Panagiotis K. Gkonis, Maria A. Seimeni, Nikolaos P. Asimakis, Dimitra I. Kaklamani, Iakovos S. Venieris
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
The goal of the study presented in this paper is to investigate the performance of a new subcarrier allocation strategy for Orthogonal Frequency Division Multiple Access (OFDMA) multicellular networks which employ Multiple Input Multiple Output (MIMO
Externí odkaz:
https://doaj.org/article/9c26f5bdf3f34f8abf2dd35dd7c16af6
Autor:
Andreas P. Kapsalis, Georgios Lamprinakos, Konstantinos A. Papadopoulos, Dimitra I. Kaklamani, Iakovos S. Venieris
Publikováno v:
International Journal of Integrated Care, Vol 12, Iss 4 (2012)
Externí odkaz:
https://doaj.org/article/bd299b06b4ad477c9fe50c792cd619ec
Publikováno v:
ASAP
The unprecedented performance of deep neural networks (DNNs) has led to large strides in various Artificial Intelligence (AI) inference tasks, such as object and speech recognition. Nevertheless, deploying such AI models across commodity devices face
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54337960d1915ece2e95984446c06db2
http://arxiv.org/abs/2106.15021
http://arxiv.org/abs/2106.15021
Autor:
Maria A. Seimeni, Penny Alevizaki, Panagiotis K. Gkonis, Dimitra I. Kaklamani, Iakovos S. Venieris
Publikováno v:
Physical Communication. 53:101725
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76e669d079742d7154521287c7f7366d
https://doi.org/10.1016/j.phycom.2022.101725
https://doi.org/10.1016/j.phycom.2022.101725
Publikováno v:
SMARTCOMP
Radical progress in the field of deep learning (DL) has led to unprecedented accuracy in diverse inference tasks. As such, deploying DL models across mobile platforms is vital to enable the development and broad availability of the next-generation in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebcabeda742078a14b2f00739056c421
Autor:
Andreas Kapsalis, Panagiotis Kasnesis, Charalampos Z. Patrikakis, Dimitra I. Kaklamani, Iakovos S. Venieris
Publikováno v:
IEEE Cloud Computing. 4:36-45
Fog Computing is an emerging paradigm, suitable to serve the particular needs of IoT networks. It includes the deployment of computational devices at the edge of the network facilitating faster real-time processing of time-sensitive data. In this art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0b89c0351cb67dbaa4098e5e5da1b5a
https://doi.org/10.1109/mcc.2017.25
https://doi.org/10.1109/mcc.2017.25
Autor:
Panagiotis Kasnesis, Dimitris ogias, Charalampos Z. Patrikakis, Iakovos S. Venieris, Lazaros Toumanidis
Publikováno v:
Computers & Electrical Engineering. 58:412-428
Use of smart software agents for enabling SIoT in the cloud.Definition of the smart object's profile and life cycle.Use of two ontologies for handling the social relationships of the smart entities.Manifest needs and services of smart objects through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c152fa2109e36e9cbb71406a629bf615
https://doi.org/10.1016/j.compeleceng.2016.09.024
https://doi.org/10.1016/j.compeleceng.2016.09.024