Zobrazeno 1 - 10
of 8 478
pro vyhledávání: '"Hernández, Jose A."'
Autor:
Ghasemi, Saeideh
Publikováno v:
Estudios de Asia y Africa, 2023 Jan 01. 581 (180), 199-204.
Externí odkaz:
https://www.jstor.org/stable/27194061
Autor:
Cáceres, Carlos de Quinto, Navarro, Andrés, Navarro, Alejandro Leonardo García, Martínez, Tomás, Otero, Gabriel, Hernández, José Alberto
In this article, we describe the components and procedures for building a drone ready for networking experimentation. In particular, our drone design includes multiple technologies and elements such as 4G/5G connectivity for real-time data transmissi
Externí odkaz:
http://arxiv.org/abs/2409.19337
Autor:
Deshpande, Yash, Diederich, Philip, Luthfi, Muhamad, Becker, Laura, Fontalvo-Hernández, José, Kellerer, Wolfgang
The rising prevalence of real-time applications that require deterministic communication over mobile networks necessitates the joint operation of both mobile and fixed network components. This joint operation requires designing components that intera
Externí odkaz:
http://arxiv.org/abs/2409.13400
Autor:
Sánchez-Macián, Alfonso, Koneva, Nataliia, Quagliotti, Marco, Rivas-Moscoso, José M., Arpanaei, Farhad, Hernández, José Alberto, Fernández-Palacios, Juan P., Zhang, Li, Riccardi, Emilio
Model networks and their underlying topologies have been used as a reference for techno-economic studies for several decades. Existing reference topologies for optical networks may cover different network segments such as backbone, metro core, metro
Externí odkaz:
http://arxiv.org/abs/2408.01721
Lexicase selection is a successful parent selection method in genetic programming that has outperformed other methods across multiple benchmark suites. Unlike other selection methods that require explicit parameters to function, such as tournament si
Externí odkaz:
http://arxiv.org/abs/2407.15056
Autor:
Navarro, Alejandro L. García, Koneva, Nataliia, Sánchez-Macián, Alfonso, Hernández, José Alberto
Python has gained widespread popularity in the fields of machine learning, artificial intelligence, and data engineering due to its effectiveness and extensive libraries. R, on its side, remains a dominant language for statistical analysis and visual
Externí odkaz:
http://arxiv.org/abs/2407.14695
Autor:
Koneva, Nataliia, Sánchez-Macián, Alfonso, Hernández, José Alberto, Arpanaei, Farhad, de Dios, Óscar González
Accurate estimation of queuing delays is crucial for designing and optimizing communication networks, particularly in the context of Deterministic Networking (DetNet) scenarios. This study investigates the approximation of Internet queuing delays usi
Externí odkaz:
http://arxiv.org/abs/2406.16452
Peter Higgs was a British theoretical physicist, famous for his work published in 1964, where he proposed a mechanism that can generate masses for elementary particles, while respecting gauge invariance. Half a century later, two experiments at CERN
Externí odkaz:
http://arxiv.org/abs/2406.15706
Autor:
Navarro, A. L. García, Koneva, Nataliia, Sánchez-Macián, Alfonso, Hernández, José Alberto, de Dios, Óscar González, Rivas-Moscoso, J. M.
Publikováno v:
The 28th International Conference on Optical Network Design and Modelling (ONDM 2024)
This article provides a methodology and open-source implementation of Reinforcement Learning algorithms for finding optimal routes in a packet-optical network scenario. The algorithm uses measurements provided by the physical layer (pre-FEC bit error
Externí odkaz:
http://arxiv.org/abs/2406.12602
Publikováno v:
The 28th International Conference on Optical Network Design and Modelling (ONDM 2024)
The power of Machine Learning and Artificial Intelligence algorithms based on collected datasets, along with the programmability and flexibility provided by Software Defined Networking can provide the building blocks for constructing the so-called Ze
Externí odkaz:
http://arxiv.org/abs/2406.12594