Deep Learning Network for Speckle De-Noising in Severe Conditions

Digital holography is well adapted to measure any modifications related to any objects.The method refers to digital holographic interferometry where the phase change between two states of the object is of interest.However, the phase images are corrupted by the speckle decorrelation noise.In this paper, we address the question of de-noising in holog

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96 details: the web is a place to give and share

As the World Wide Web became Lord of the Rings accessible to society on a global scale during the 1990s, artists that stepped into this technological and aesthetic environment experienced transformative effects to their craft and creativity.For dance, a traditionally ephemeral and corporeal action, the limits and values associated with this conditi

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Data-driven decision support system for degrading assets and its application under the perspective of a railway component

Transportation plays a crucial role in facilitating economic and social interactions, but also significantly contributes to global pollution.To address this sustainability challenge, smart use of resources and transport modes is needed.To contribute to more efficient mobility in worldwide transportation, railways should have better maintenance.With

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