Titlebook: Nanotechnology for Biomedical Applications; Sreerag Gopi,Preetha Balakrishnan,Nabisab Mujawar Book 2022 The Editor(s) (if applicable) and

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Composites in Hydrogel State with Nanostructured Components for Biomedical Applications,l applications. Different nanostructured components, such as cellulose, hydroxyapatite (HAp), nanoparticles based on Si, Au, Ag, and Fe, carbon nanotubes, graphene, metal–organic frameworks (MOFs), genes, and proteins, have been coupled in matrices in the hydrogel state, generating novel composites

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Sujata Maurya,Manish Kumar Mishra,Brijesh Rathi,Dhruv Kumaropriately treat local structures and semantic information, deep convolutional neural network features are investigated. The resulting model is formulated directly in terms of a variational time discretization developed for the classical metamorphosis model by Berkels, Effland and Rumpf. The key ingr

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Shikha Indoria,Madhu Bala,Vickramjeet Singhgle numerical algorithm for all methods. It combines conjugate gradients with pseudodifferential operator evaluations in the Fourier domain. Our experiments show that the linear PDE- and the RBF-based communities have developed concepts of comparable quality.

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Souravi Bardhan,Shubham Roy,Sukhen Das-dimensional Gaussian signals and a second one is estimating a circle’s radius and location in random grayscale images of disks. By training various networks, either naive custom designed or well-established ones, with various amounts of training data, we find that networks require tens of thousands

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