Zobrazeno 1 - 10
of 4 228
pro vyhledávání: '"Lopez, Martin"'
Autor:
Gil-Rodrigo, Sofia, López-Martín, Raúl, Yener, Görsev, Wiersema, Jan R., Güntekin, Bahar, Zanin, Massimiliano
Functional networks representing human brain dynamics have become a standard tool in neuroscience, providing an accessible way of depicting the computation performed by the brain in healthy and pathological conditions. Yet, these networks share multi
Externí odkaz:
http://arxiv.org/abs/2411.01522
This study investigates the generalization capabilities and robustness of purely deep learning (DL) models and hybrid models based on physical principles in fluid dynamics applications, specifically focusing on iteratively forecasting the temporal ev
Externí odkaz:
http://arxiv.org/abs/2404.17884
The effectiveness of network intrusion detection systems, predominantly based on machine learning, are highly influenced by the dataset they are trained on. Ensuring an accurate reflection of the multifaceted nature of benign and malicious traffic in
Externí odkaz:
http://arxiv.org/abs/2310.10661
Autor:
Hetherington, A., Corrochano, A., Abadía-Heredia, R., Lazpita, E., Muñoz, E., Díaz, P., Moira, E., López-Martín, M., Clainche, S. Le
This article presents an innovative open-source software named ModelFLOWs-app, written in Python, which has been created and tested to generate precise and robust hybrid reduced order models (ROMs) fully data-driven. By integrating modal decompositio
Externí odkaz:
http://arxiv.org/abs/2305.17150
Fluid Dynamics problems are characterized by being multidimensional and nonlinear. Therefore, experiments and numerical simulations are complex and time-consuming. Motivated by this, the need arises to find new techniques to obtain data in a simpler
Externí odkaz:
http://arxiv.org/abs/2305.08832
Autor:
Mata, León, Abadía-Heredia, Rodrigo, Lopez-Martin, Manuel, Pérez, José M., Clainche, Soledad Le
This work aims to improve fuel chamber injectors' performance in turbofan engines, thus implying improved performance and reduction of pollutants. This requires the development of models that allow real-time prediction and improvement of the fuel/air
Externí odkaz:
http://arxiv.org/abs/2212.12731
Autor:
Mohsen Habibnia, Eric Catalina-Hernandez, Mario Lopez-Martin, David Masnou-Sanchez, Alex Peralvarez-Marin
Publikováno v:
iScience, Vol 27, Iss 11, Pp 111187- (2024)
Summary: Tachykinins are short neuropeptides, such as substance P and neurokinin B, that have been shown to interact with Alzheimer’s β-amyloid (Aβ) peptide. Neurokinin A (NKA) is a secreted tachykinin neuropeptide that binds to neurokinin recept
Externí odkaz:
https://doaj.org/article/db91f38c681244fbb49201595a2eebb2
Publikováno v:
Torture, Vol 34, Iss 1, Pp 4-21 (2024)
The main cause of serious ophthalmological injuries, including violent eye amputations in the context of so-called less lethal weapons, is the use of blunt objects, such as batons or extendable sticks and the use of kinetic energy projectiles (rubber
Externí odkaz:
https://doaj.org/article/0e0a8592d71b4c2f9422bbae417b19dd
As the number of heterogenous IP-connected devices and traffic volume increase, so does the potential for security breaches. The undetected exploitation of these breaches can bring severe cybersecurity and privacy risks. Anomaly-based \acp{IDS} play
Externí odkaz:
http://arxiv.org/abs/2205.01432
Autor:
López-Martín, Elena, Sueiro-Benavides, Rosana, Leiro-Vidal, José M., Rodríguez-González, Juan A., Ares-Pena, Francisco J.
Publikováno v:
In Science of the Total Environment 25 November 2024 953