Zobrazeno 1 - 10
of 2 568
pro vyhledávání: '"Martin Moreno"'
Publikováno v:
IEEE Access, Vol 12, Pp 55768-55783 (2024)
The prevalence of dangerous misinformation and extreme views online has intensified since the onset of Israel-Hamas war on 7 October 2023. Social media platforms have long grappled with the challenge of providing effective mitigation schemes that can
Externí odkaz:
https://doaj.org/article/ec82f21eb59744b2be82fcacb72b7471
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 8, p 89 (2024)
Accurate turbidity classification is essential for maintaining water quality in various contexts, from drinking water to industrial processes. Traditional turbidimeters face challenges, including interference from colored substances, particle shape a
Externí odkaz:
https://doaj.org/article/e94539671e474e9eb7e2909b2ad31825
Publikováno v:
Energies, Vol 17, Iss 12, p 2835 (2024)
Wind turbines are a solution for sustainable energy, significantly reducing carbon emissions and fostering a circular economy for more cost-effective and cleaner power generation, in line with worldwide environmental aspirations. In this context, thi
Externí odkaz:
https://doaj.org/article/3cff5506687c4f698842508d27f543e7
Autor:
Rene Francisco Santana-Cruz, Martin Moreno-Guzman, César Enrique Rojas-López, Ricardo Vázquez-Morán, Rubén Vázquez-Medina
Publikováno v:
Sensors, Vol 24, Iss 5, p 1482 (2024)
The proliferation of radio frequency (RF) devices in contemporary society, especially in the fields of smart homes, Internet of Things (IoT) gadgets, and smartphones, underscores the urgent need for robust identification methods to strengthen cyberse
Externí odkaz:
https://doaj.org/article/b16c724c24cb44c0b72c26681683674c
Publikováno v:
New J. Phys. 26, 073014 (2024)
Some popular mechanisms for restricting the diffusion of waves include introducing disorder (to provoke Anderson localization) and engineering topologically non-trivial phases (to allow for topological edge states to form). However, other methods for
Externí odkaz:
http://arxiv.org/abs/2407.05888
Publikováno v:
IEEE Access, Vol 9, Pp 15283-15294 (2021)
The LLC series resonant converter has emerged as a solution to applications requiring power conversion with isolation, reduced volume and high efficiency, such as PV systems and EV chargers. However, the LLC resonant converter is limited in power, so
Externí odkaz:
https://doaj.org/article/3772d0c17cc845c69f867e68cbfaa5d0
Autor:
Busquet-Duran X, Jiménez-Zafra EM, Manresa-Domínguez JM, Tura-Poma M, Bosch-delaRosa O, Moragas-Roca A, Galera Padilla MC, Martin Moreno S, Martínez-Losada E, Crespo-Ramírez S, López-Garcia AI, Torán-Monserrat P
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 13, Pp 297-308 (2020)
Xavier Busquet-Duran,1–3 Eva Maria Jiménez-Zafra,1 Josep Maria Manresa-Domínguez,2,4,5 Magda Tura-Poma,1 Olga Bosch-delaRosa,6 Anna Moragas-Roca,1 Maria Concepción Galera Padilla,1 Susana Martin Moreno,1 Emilio Martínez-Losada,1 Silvia Crespo-R
Externí odkaz:
https://doaj.org/article/4588b6993a594b6892fb2f17daa55494
Classical coupled harmonic oscillator models have been proven capable to describe successfully the spectra of many nanophotonic systems where an optical mode couples to a molecular or matter excitation. Although models with distinct coupling terms ha
Externí odkaz:
http://arxiv.org/abs/2402.11944
In recent studies on ultrastrong coupling between matter and light in cavities, the significance of gauge choice when employing the widely-used two-level approximation has been highlighted. Expanding upon these investigations, we extend the analysis
Externí odkaz:
http://arxiv.org/abs/2309.06500
We introduce a machine-learning approach (denoted Symmetry Seeker Neural Network) capable of automatically discovering discrete symmetry groups in physical systems. This method identifies the finite set of parameter transformations that preserve the
Externí odkaz:
http://arxiv.org/abs/2307.13457