Results 41 to 50 of about 1,047,492 (261)
Mobile devices and the immense amount and variety of data they generate are key enablers of machine learning (ML)-based applications. Traditional ML techniques have shifted toward new paradigms such as federated (FL) and split learning (SL) to improve the protection of user's data privacy. However, these paradigms often rely on server(s) located in the
Kortoçi, Pranvera +7 more
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DC-DC Converter Design Issues for High-Efficient DC Microgrid
In this article, the electrical properties, as well as the economic aspects of the modular and non-modular solution of the DC-DC photovoltaic converter for DC microgrid subsystem, are described.
Michal Frivaldsky, Jan Morgos
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The existence of clouds is one of the main factors that contributes to missing information in optical remote sensing images, restricting their further applications for Earth observation, so how to reconstruct the missing information caused by clouds is ...
Jianhao Gao +4 more
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Active Damping in Series Connected Power Modules with Continuous Output Voltage
This paper presents a modular and scalable power electronics concept for motor control with continuous output voltage. In contrast to multilevel concepts, modules with continuous output voltage are connected in series.
Ulmer Sabrina +2 more
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Offsets and polarization at strained AlN/GaN polar interfaces
The strain induced by lattice mismatch at the interface is responsible for the different value of the band discontinuities observed recently for the AlN/GaN (AlN on GaN) and the GaN/AlN (GaN on AlN) polar (0001) interface.
Bernardini, Fabio +2 more
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Poly-GAN: Multi-conditioned GAN for fashion synthesis [PDF]
We present Poly-GAN, a novel conditional GAN architecture that is motivated by Fashion Synthesis, an application where garments are automatically placed on images of human models at an arbitrary pose. Poly-GAN allows conditioning on multiple inputs and is suitable for many tasks, including image alignment, image stitching, and inpainting.
Pandey, Nilesh, Savakis, Andreas
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BiVi-GAN: Bivariate Vibration GAN
In the domain of prognosis and health management (PHM) for rotating machinery, the criticality of ensuring equipment reliability cannot be overstated. With developments in artificial intelligence (AI) and deep learning, there have been numerous attempts to use those methodologies in PHM.
HoeJun Jeong +3 more
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Growth condition dependence of unintentional oxygen incorporation in epitaxial GaN
Growth conditions have a tremendous impact on the unintentional background impurity concentration in gallium nitride (GaN) synthesized by molecular beam epitaxy and its resulting chemical and physical properties.
Felix Schubert +5 more
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Heat and Fluid Flow in Solvothermal Autoclave for Single-Crystal Growth Process
We report and discuss an experiment and numerical simulation of heat transfer by natural convection inside an autoclave for the solvothermal growth of bulk crystalline GaN.
Yoshio MASUDA +3 more
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Communication et études de l’IA : mémoire du futur
Pour aborder la question de la mémoire du futur, ce texte se centre sur un récit de vie que nous avons recueilli auprès de Grégory Chatonsky, artiste dont la production est fortement imprégnée par les outils d’intelligence artificielle. Parmi ces outils,
Franck Renucci +2 more
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