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pro vyhledávání: '"Zurutuza A"'
Autor:
Soikkeli, Miika, Murros, Anton, Rantala, Arto, Txoperena, Oihana, Kilpi, Olli-Pekka, Kainlauri, Markku, Sovanto, Kuura, Maestre, Arantxa, Centeno, Alba, Tukkiniemi, Kari, Martins, David Gomes, Zurutuza, Amaia, Arpiainen, Sanna, Prunnila, Mika
The reliability of analysis is becoming increasingly important as point-of-care diagnostics are transitioning from single analyte detection towards multiplexed multianalyte detection. Multianalyte detection benefits greatly from complementary metal-o
Externí odkaz:
http://arxiv.org/abs/2305.08365
Autor:
Wu, Chenghan, Brems, Steven, Yudistira, Didit, Cott, Daire, Milenin, Alexey, Vandersmissen, Kevin, Maestre, Arantxa, Centeno, Alba, Zurutuza, Amaia, Van Campenhout, Joris, Huyghebaert, Cedric, Van Thourhout, Dries, Pantouvaki, Marianna
Graphene-based devices have shown great promise for several applications. For graphene devices to be used in real-world systems, it is necessary to demonstrate competitive device performance, repeatability of results, reliability, and a path to large
Externí odkaz:
http://arxiv.org/abs/2304.02646
Autor:
Sáez-de-Cámara, Xabier, Flores, Jose Luis, Arellano, Cristóbal, Urbieta, Aitor, Zurutuza, Urko
There is a growing trend of cyberattacks against Internet of Things (IoT) devices; moreover, the sophistication and motivation of those attacks is increasing. The vast scale of IoT, diverse hardware and software, and being typically placed in uncontr
Externí odkaz:
http://arxiv.org/abs/2303.15986
Autor:
Li, Sha, Wang, Zhenxing, Robertz, Bianca, Neumaier, Daniel, Txoperena, Oihana, Maestre, Arantxa, Zurutuza, Amaia, Bower, Chris, Rushton, Ashley, Liu, Yinglin, Harris, Chris, Bessonov, Alexander, Malik, Surama, Allen, Mark, Medina-Salazar, Ivonne, Ryhänen, Tapani, Lemme, Max C.
A 200 mm processing platform for the large-scale production of graphene field-effect transistor-quantum dot (GFET-QD) hybrid photodetectors is demonstrated. Comprehensive statistical analysis of electric data shows a high yield (96%) and low variatio
Externí odkaz:
http://arxiv.org/abs/2303.00406
Autor:
Sáez-de-Cámara, Xabier, Flores, Jose Luis, Arellano, Cristóbal, Urbieta, Aitor, Zurutuza, Urko
The growing adoption of the Internet of Things (IoT) has brought a significant increase in attacks targeting those devices. Machine learning (ML) methods have shown promising results for intrusion detection; however, the scarcity of IoT datasets rema
Externí odkaz:
http://arxiv.org/abs/2207.13981
Publikováno v:
Visual Review. 2024, Vol. 16 Issue 5, p64-79. 16p.
Publikováno v:
Revista Iberoamericana de Bioética, Iss 23, Pp 01-24 (2023)
La pandemia por SARS-CoV-2 y la enfermedad derivada, la COVID-19, representan un reto que pone a prueba la capacidad de respuesta de las instituciones de salud, pero que afecta todos los ámbitos de la práctica clínica, incluida la investigación.
Externí odkaz:
https://doaj.org/article/143ec725ebbd4a9495927677ba3c0967
Given the growing amount of industrial data spaces worldwide, deep learning solutions have become popular for predictive maintenance, which monitor assets to optimise maintenance tasks. Choosing the most suitable architecture for each use-case is com
Externí odkaz:
http://arxiv.org/abs/2010.03207
Attribute Oriented Induction (AOI) is a data mining algorithm used for extracting knowledge of relational data, taking into account expert knowledge. It is a clustering algorithm that works by transforming the values of the attributes and converting
Externí odkaz:
http://arxiv.org/abs/1912.00662
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