Articles with "generation deep" as a keyword



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Synthetic seismic data generation with deep learning

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Published in 2021 at "Journal of Applied Geophysics"

DOI: 10.1016/j.jappgeo.2021.104347

Abstract: Abstract We study the applicability of deep learning (DL) methods to generate acoustic synthetic data from 1D models of the subsurface. We designed and implemented a Neural Network (NN) and we trained it to generate… read more here.

Keywords: synthetic seismic; generation deep; seismic data; methodology ... See more keywords
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Next-generation deep learning based on simulators and synthetic data

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Published in 2022 at "Trends in Cognitive Sciences"

DOI: 10.1016/j.tics.2021.11.008

Abstract: Deep learning (DL) is being successfully applied across multiple domains, yet these models learn in a most artificial way: they require large quantities of labeled data to grasp even simple concepts. Thus, the main bottleneck… read more here.

Keywords: synthetic data; deep learning; next generation; based simulators ... See more keywords
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Toroidal Dipole-Enhanced Third Harmonic Generation of Deep Ultraviolet Light Using Plasmonic Meta-atoms.

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Published in 2019 at "Nano letters"

DOI: 10.1021/acs.nanolett.8b04798

Abstract: The harmonic generation of light with plasmonic and all-dielectric nanostructures has gained much recent interest. This approach is especially promising for short wavelength (i.e., ultraviolet (UV)) generation, where conventional nonlinear crystals reach their limits both… read more here.

Keywords: third harmonic; meta atoms; harmonic generation; generation ... See more keywords
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All-fiber sixth harmonic generation of deep UV: erratum.

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Published in 2019 at "Optics letters"

DOI: 10.1364/ol.44.005185

Abstract: This erratum corrects the mistyped pump repetition rate in Opt. Lett.42, 4671 (2017)OPLEDP0146-959210.1364/OL.42.004671. read more here.

Keywords: fiber sixth; harmonic generation; deep erratum; sixth harmonic ... See more keywords