Mostrando 201 - 220 Resultados de 4,709 Para Buscar '"Blur"', tiempo de consulta: 0.13s Limitar resultados
  1. 201
    “…It also provides an original viewpoint on interpreting the strategies’ proactivity or reactivity as their boundary is increasingly blurred. Lastly, the study opens up to future investigations of the antecedents of the design and utilisation/activation of resilience strategies, as companies could rethink their managerial decisions based on the continuous evolution of their operating environment.…”
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    por Yosef, Erez, Elmalem, Shay, Giryes, Raja
    Publicado 2023
    “…Video reconstruction from a single motion-blurred image is a challenging problem, which can enhance the capabilities of existing cameras. …”
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    Online Artículo Texto
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    “…As palmprints are captured using non-contact devices, image blur is inevitably generated because of the defocused status. …”
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    Online Artículo Texto
  7. 207
    “…In order to quickly and accurately recognize traffic signs in motion-blurred images in DAS, a new image restoration algorithm based on border deformation detection in the spatial domain is proposed in this paper. …”
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    por Lim, Jayoung, Lim, Dong Jun
    Publicado 2019
    “…After two weeks, she presented to our hospital for blurred vision of left eye. Papilledema and inferior visual field defect of left eye were observed in ophthalmology examination. …”
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    Online Artículo Texto
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    “…Binocular spherical blur had the most detrimental effect (p<0.001), followed by binocular astigmatic blur (p<0.001) then monocular spherical blur (p = 0.022). …”
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    “…Overall, it has been shown the use of blur can enhance performance and learning of sporting tasks in novice participants, especially when the blur is applied to peripheral stimuli. …”
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  15. 215
    por Li, Shangjin, Zhao, Yijun
    Publicado 2022
    “…Inspired by the recent success of deep learning models in medical image analysis, we investigate the efficacy of employing generative adversarial networks (GANs) to address motion blurs in brain MRI scans. We cast the problem as a blind deconvolution task where a neural network is trained to guess a blurring kernel that produced the observed corruption. …”
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