74227 research outputs found
Sort by
Integrating imprecise data in generative models using interval-valued Variational Autoencoders
No full textVariational Autoencoders (VAEs) enable the integration of diverse data sources into a unified latent representation, facilitating the fusion of information from various inputs and the creation of disentangled representations that separate different factors of variation in the data. Traditional VAEs, however, are limited by assuming a single prior distribution for latent variables, which restricts their ability to handle epistemic uncertainty from imprecise measurements and incomplete data. This paper introduces the Interval-Valued Variational Autoencoder (iVAE), which employs a family of prior distributions and incorporates specialized neurons and redefined objective functions for handling interval-valued data. This architecture maintains computational efficiency while extending the model’s applicability to scenarios with pronounced epistemic uncertainty. The iVAE’s efficacy is demonstrated in managing two types of data: intrinsically interval-valued and noisy data preprocessed into interval formats. The first category is exemplified by a graphical analysis of questionnaires, while the second involves case studies focused on estimating the remaining useful life of aviation engines, where the iVAE outperforms traditional methods, thereby providing more accurate diagnostics and robust predictions.Supported by Ministerio de Economía e Industria de España, Spain,
grants PID2020-112726RB-I00 and PID2023-146257OB-I00
Implication of nano-scale grain refinement by severe shot peening on corrosion resistance of additively manufactured 316 L stainless steel
Get PDFMicrostructural analysis and electrochemical measurements were performed in a SLM 316 L steel that was
submitted to SSP. In comparison to the wrought steel, the greatly smaller grain size and higher dislocation
density promote nucleation sites for oxidation, and a thicker passive layer, with more stable Cr2O3 oxides, is
formed on the SLM steel. SSP produces a thick-gradient surface layer with a nanostructured surface. Overall
corrosion resistance decreased in comparison to the un-peened SLM. SSP induces decohesion along the MPBs,
leading to pitting. High-residual stresses, twins and dislocation break the cellular-walls, promoting the imperfect
cell-structure and jeopardizing the passive film stability.Spanish Government [TED2021-130306B-100]; MICINN [PID2021-124768OB-C21, TED2021-130413B-I00]; Next Generation EU fund
On The Use of PAM versus QAM Constellations in Rate-Splitting Multiple Access
Get PDFThis work was supported in part by the Ministerio de Ciencia e Innovación and Agencia Estatal de Investigación
(MICIN)/(AEI)/10.13039/501100011033 under Grant PID2020-114172RB-C21 and Grant PID2023-146246OB-C32, and in part by the Gobierno del Principado de Asturias under “Severo Ochoa” Program under Grant PA-22-BP21-116.This work was supported in part by the Ministerio de Ciencia e Innovación and Agencia Estatal de Investigación
(MICIN)/(AEI)/10.13039/501100011033 under Grant PID2020-114172RB-C21 and Grant PID2023-146246OB-C32, and in part by the Gobierno del Principado de Asturias under “Severo Ochoa” Program under Grant PA-22-BP21-116
Cross-contextual stress prediction: simple methodology for comparing features and sample domain adaptation techniques in vital sign analysis
No full textDespliegue de un entorno cloud privado basado en tecnologías de código abierto
Get PDFEl proyecto persigue realizar el despliegue de un entorno cloud privado basado en soluciones open source. Adicionalmente, se pretenden realizar pruebas de seguridad para verificar el estado final de la instalación
Síntesis y caracterización fisicoquímica de nuevos compuestos híbridos
No full textEsta tesis se centra en la síntesis y caracterización físico-química de nuevos compuestos híbridos basados en cobalto (Co), zinc (Zn) e indio (In). Este trabajo se dividió en tres partes; a compuestos a base de cobalto ((C7H7N2)2CoCl4 (H1), (C6H5N2)2CoCl4 (H2), [CoCl3(C2H5N4)2]2Cl2 (H3), a base de indio [(C7H11N2)2InCl5(H2O)] (H4) y [(C8H12N)2InCl5(H2O)·2(H2O)] (H5), y materiales a base de zinc ((C6H5N2)2ZnCl4) (H6). Estos materiales se han sintetizado mediante el método de evaporación lenta y se han caracterizado con éxito mediante análisis térmico (DSC, DTA/TG), propiedades ópticas mediante espectroscopías UV-Visible y fotoluminiscencia. También se estudió el comportamiento dieléctrico y magnético
Impact of mean stress on mooring line fatigue assessment: an analytical study
No full textMCIN/AEI; ERDF A way of making Europe; Basque Government [PIBA_2023_1_0052, KK-2024/00086, KK-2024/00048, . IT1505-22.]; [PID2021-124245OA-I00
