Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Miguel Camelo"'
Autor:
David Goez, Esra Aycan Beyazit, Luis A. Fletscher, Juan F. Botero, Natalia Gaviria, Steven Latre, Miguel Camelo
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 3066-3088 (2024)
Traffic Classification (TC) systems are designed to identify the applications generating network traffic. Recent advancements in TC leverage Deep Learning (DL) techniques, surpassing traditional methods in complex scenarios, including those with encr
Externí odkaz:
https://doaj.org/article/05f1953b0e8a4f19a2f833e2849b7f47
Publikováno v:
Algorithms, Vol 15, Iss 12, p 441 (2022)
Next-generation communication systems will face new challenges related to efficiently managing the available resources, such as the radio spectrum. DL is one of the optimization approaches to address and solve these challenges. However, there is a ga
Externí odkaz:
https://doaj.org/article/827773dea3ff4cafbc5b62750a23fa57
Publikováno v:
Cuestiones Teológicas, Vol 37, Iss 87 (2020)
A partir de un acercamiento al desarrollo histórico de la Teología Bíblica el estudio resalta los principales enfoques y métodos para su elaboración y presenta algunas reflexiones e interrogantes en relación la problemática en la elaboración
Externí odkaz:
https://doaj.org/article/0500bba6e7c5464d96a23af514a46e46
Autor:
Paola Soto, Miguel Camelo, Kevin Mets, Francesc Wilhelmi, David Góez, Luis A. Fletscher, Natalia Gaviria, Peter Hellinckx, Juan F. Botero, Steven Latré
Publikováno v:
Sensors, Vol 21, Iss 13, p 4321 (2021)
IEEE 802.11 (Wi-Fi) is one of the technologies that provides high performance with a high density of connected devices to support emerging demanding services, such as virtual and augmented reality. However, in highly dense deployments, Wi-Fi performa
Externí odkaz:
https://doaj.org/article/29b9fd7450694075819ffd7ebd383030
Autonomous network management is crucial for Fifth Generation (5G) and Beyond 5G (B5G) networks, where a constantly changing environment is expected and network configuration must adapt accordingly. Modeling tools are required to predict the impact o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e59ce90fb1b0f027052627d53b9b3f9a
Autor:
Nina Slamnik-Kriještorac, Miguel Camelo Botero, Luca Cominardi, Steven Latré, Johann M. Marquez-Barja
Publikováno v:
Consumer Communications and Networking Conference, CCNC IEEE
To properly orchestrate challenging services such as those deployed for Vehicle-to-Everything (V2X) use cases, MANO systems need to be intelligent and automated. Network Function Virtualization (NFV) and Machine Learning (ML) provide opportunities fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f7dce43f9f44bf8e74e3f1a56cb4114
https://repository.uantwerpen.be/docstore/d:irua:17659
https://repository.uantwerpen.be/docstore/d:irua:17659
Autor:
Lidia Fuentes, Mercedes Amor, Ángel Cañete, Marco Fiore, Sergi Alcalá, Sokratis Barmpounakis, Ioannis Chondroulis, Ioannis Belikaidis, Evangelos Kosmatos, Andres Garcia Saavedra, Josep Xavier Salvat, Miguel Camelo, Paola Soto, Andra Lutu, George Iosifidis, Danny De Vleeschauwer, Chia-Yu Chang, Angelos Pentelas
This deliverable reports the progress made by DAEMON on the design and development of NI-assisted functionalities for Beyond fifth Generation (B5G) mobile networks, with a focus on the area of service and resource management and orchestration. To ach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bf2afea59050ccc87895af91cb52a3f
Autor:
Nina Slamnik-Kriještorac, Miguel Camelo, Luca Cominardi, Steven Latré, Johann M. Marquez-Barja
Publikováno v:
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 8-11 January, 2022, Las Vegas, USA
IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
The plethora of heterogeneous and diversified services in 5G and beyond requires from networks to be flexible, adaptable, and programmable, i.e., to be able to correspondingly adapt to changes. As human intervention might significantly increase delay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5549687b6077686ac7be83b36e7861ed
https://hdl.handle.net/10067/1859020151162165141
https://hdl.handle.net/10067/1859020151162165141
Publikováno v:
IEEE transactions on network and service management
Traffic Classification (TC) systems allow inferring the application that is generating the traffic being analyzed. State-of-the-art TC algorithms are based on Deep Learning (DL) and have outperformed traditional methods in complex and modern scenario
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f391195f63928e4157ec60275aef4c15
https://hdl.handle.net/10067/1953620151162165141
https://hdl.handle.net/10067/1953620151162165141
Autor:
Paola Soto, Danny De Vleeschauwer, Miguel Camelo, Yorick De Bock, Koen De Schepper, Chia-Yu Chang, Peter Hellinckx, Juan F. Botero, Steven Latré
Publikováno v:
8th International Conference on Software Defined Systems (SDS), DEC 06-09, 2021, ELECTR NETWORK
2021 Eighth International Conference on Software Defined Systems (SDS)
2021 Eighth International Conference on Software Defined Systems (SDS)
Network Function Virtualization (NFV) is one of the main enablers behind the promised improvements in the Fifth Generation (5G) networking era. Thanks to this concept, Network Functions (NFs) are evolving into software components (e.g., Virtual Netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54161fff1c06da0fca6205661a51b8fe