Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Constantinos S. Hilas"'
Publikováno v:
2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7524639a9d0160c29283585c76847704
https://doi.org/10.1109/blackseacom54372.2022.9858233
https://doi.org/10.1109/blackseacom54372.2022.9858233
Publikováno v:
MOCAST
This paper proposes the application of Reverse Direction (RD) protocol to enhance performance in future Full Duplex (FD) Wireless Local Area Networks (WLANs). Full duplex communications in WLANs will be possible when a receiving node has frames ready
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::658cc33707686fa2e0c18c69fcfc9392
https://doi.org/10.1109/mocast49295.2020.9200284
https://doi.org/10.1109/mocast49295.2020.9200284
Autor:
Konstantinos Papatheodorou, Theofilos Papadopoulos, Konstantinos Evangelidis, Constantinos S. Hilas, Paris Mastorokostas
Publikováno v:
Computers & Geosciences. 111:200-212
Digital Elevation Models (DEMs), in combination with high quality raster graphics provide realistic three-dimensional (3D) representations of the globe (virtual globe) and amazing navigation experience over the terrain through earth browsers. In addi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c9a5ed7c5f421084c0c2dc4cf044426
https://doi.org/10.1016/j.cageo.2017.11.007
https://doi.org/10.1016/j.cageo.2017.11.007
Publikováno v:
Electronics Letters. 54:764-766
An analytical model is described to estimate the performance of the carrier sense multiple access with collision avoidance (CSMA/CA) protocol during the simultaneous transmit/receive (STR) operation of the upcoming IEEE 802.11ax amendment for WLANs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4978518ceb5069ce5b2ddacb0fc427c2
https://doi.org/10.1049/el.2018.0716
https://doi.org/10.1049/el.2018.0716
Publikováno v:
Journal of Engineering Science and Technology Review. 9:93-96
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a63cc7a9a1319d7ab91e229266e7369
https://doi.org/10.25103/jestr.095.14
https://doi.org/10.25103/jestr.095.14
Publikováno v:
TSP
Transmission Opportunity (TXOP) sharing is the main Medium Access Control (MAC) layer contribution of the IEEE 802.11ac amendment. It is essentially an enhanced version of the standard TXOP mechanism initially introduced by the IEEE 802.11e amendment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a0cda0361fed1a636fffc6859af880e
https://doi.org/10.1109/tsp.2018.8441246
https://doi.org/10.1109/tsp.2018.8441246
Publikováno v:
MOCAST
Transmission Opportunity (TXOP) is the key Medium Access Control (MAC) layer mechanism that enables modern Wireless Local Area Networks (WLANs) to efficiently exploit network resources. It is essentially a resource allocation technique that enables a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab92ea5eb7a5c28be368d10f79307c82
https://doi.org/10.1109/mocast.2018.8376591
https://doi.org/10.1109/mocast.2018.8376591
Publikováno v:
Telecommunication Systems. 63:15-25
An application of computational intelligence to the problem of telecommunications call volume forecasting is proposed in this work. In particular, the forecasting system is a recurrent fuzzy-neural model. The premise and defuzzification parts of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fa50878247ac52046425378113bc7da
https://doi.org/10.1007/s11235-015-9968-x
https://doi.org/10.1007/s11235-015-9968-x
Publikováno v:
Informatica. 25:221-239
An application of fuzzy modeling to the problem of telecommunications time-series pre- diction is proposed in this paper. The model building process is a two-stage sequential algorithm, based on Subtractive Clustering (SC) and the Orthogonal Least Sq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f0a3fb7778dbaf57c3f8b5f231e9fd0
https://doi.org/10.15388/informatica.2014.12
https://doi.org/10.15388/informatica.2014.12
Publikováno v:
Applied Mathematics & Information Sciences. 7:1643-1650
A recurrent neural network-based forecasting system for telecommunications call volume is proposed in this work. In particular, the forecaster is a Block-Diagonal Recurrent Neural Network with internal feedback. Model's performance is evaluated by us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3299b856883876c40edf3680f911e04
https://doi.org/10.12785/amis/070501
https://doi.org/10.12785/amis/070501