Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sandra Gomez-Canaval"'
Autor:
Antonio Pastor, Alberto Mozo, Stanislav Vakaruk, Daniele Canavese, Diego R. Lopez, Leonardo Regano, Sandra Gomez-Canaval, Antonio Lioy
Publikováno v:
IEEE Access, Vol 8, Pp 158036-158055 (2020)
Nowadays, malware has become an epidemic problem. Among the attacks exploiting the computer resources of victims, one that has become usual is related to the massive amounts of computational resources needed for digital currency cryptomining. Cybercr
Externí odkaz:
https://doaj.org/article/24d35bc9b1b2475c9b705ae4e82ef39a
Publikováno v:
IEEE Access, Vol 7, Pp 179779-179798 (2019)
The complexity of cloud datacenter scenarios poses new challenges in infrastructure management processes such as the impracticality of collecting specific service level events from inside the datacenter infrastructure, and the scalability issues that
Externí odkaz:
https://doaj.org/article/61593530185f47e9b0a82537f294e47f
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6497 (2024)
Indigenous languages are a fundamental legacy in the development of human communication, embodying the unique identity and culture of local communities in America. The Second AmericasNLP Competition Track 1 of NeurIPS 2022 proposed the task of traini
Externí odkaz:
https://doaj.org/article/5b630b83bc5e4798bf410871446e72f5
Autor:
Alberto Mozo, Jesús Morón-López, Stanislav Vakaruk, Ángel G. Pompa-Pernía, Ángel González-Prieto, Juan Antonio Pascual Aguilar, Sandra Gómez-Canaval, Juan Manuel Ortiz
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-23 (2022)
Abstract Harmful algal blooms (HABs) are a growing concern to public health and aquatic ecosystems. Long-term water monitoring conducted by hand poses several limitations to the proper implementation of water safety plans. This work combines automati
Externí odkaz:
https://doaj.org/article/693bc68f9c5740aa85823d50647534b9
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-27 (2022)
Abstract Due to the growing rise of cyber attacks in the Internet, the demand of accurate intrusion detection systems (IDS) to prevent these vulnerabilities is increasing. To this aim, Machine Learning (ML) components have been proposed as an efficie
Externí odkaz:
https://doaj.org/article/cfa22fa15e2a4471b6b069b148161e9c
Autor:
Alberto Mozo, Amit Karamchandani, Luis de la Cal, Sandra Gómez-Canaval, Antonio Pastor, Lluis Gifre
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 4914 (2023)
The rapid evolution of network infrastructure through the softwarization of network elements has led to an exponential increase in the attack surface, thereby increasing the complexity of threat protection. In light of this pressing concern, European
Externí odkaz:
https://doaj.org/article/ae115c3760ae41e0bc1cd1c930d88014
Autor:
Stanislav Vakaruk, Amit Karamchandani, Jesús Enrique Sierra-García, Alberto Mozo, Sandra Gómez-Canaval, Antonio Pastor
Publikováno v:
Sensors, Vol 23, Iss 7, p 3516 (2023)
Recently, a novel approach in the field of Industry 4.0 factory operations was proposed for a new generation of automated guided vehicles (AGVs) that are connected to a virtualized programmable logic controller (PLC) via a 5G multi-access edge-comput
Externí odkaz:
https://doaj.org/article/8830a699fc4148409fa48a8c322ae146
Autor:
Alberto Mozo, Amit Karamchandani, Sandra Gómez-Canaval, Mario Sanz, Jose Ignacio Moreno, Antonio Pastor
Publikováno v:
Sensors, Vol 22, Iss 11, p 4106 (2022)
Network Digital Twin (NDT) is a new technology that builds on the concept of Digital Twins (DT) to create a virtual representation of the physical objects of a telecommunications network. NDT bridges physical and virtual spaces to enable coordination
Externí odkaz:
https://doaj.org/article/3aa51bf8b35940e5a9579c8e8bdb71d6
Publikováno v:
Mathematics, Vol 9, Iss 4, p 325 (2021)
Generative Adversarial Networks (GANs) are powerful machine learning models capable of generating fully synthetic samples of a desired phenomenon with a high resolution. Despite their success, the training process of a GAN is highly unstable, and typ
Externí odkaz:
https://doaj.org/article/1475bb9f7176473c883cb2508003cde5
Publikováno v:
Mathematics, Vol 8, Iss 12, p 2160 (2020)
Networks of picture processors is a massively distributed and parallel computational model inspired by the evolutionary cellular processes, which offers efficient solutions for NP-complete problems. This bio-inspired model computes two-dimensional st
Externí odkaz:
https://doaj.org/article/89b397be730c45dcb4a09df5aa6df13a