Titlebook: Data Science for Nano Image Analysis; Chiwoo Park,Yu Ding Book 2021 Springer Nature Switzerland AG 2021 Nano Image Analysis.Data Science.M

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Garrett Nicolai,Robert Hildermanry, e.g., why do the size and shape distributions change as tracked, how do individual material objects evolve over time, and what type of chemical kinetics drives the evolution? If one is interested in explaining individualized evolutions or in learning the relationship between the chemical kinetic

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Computational Swarm Intelligenceion and low-resolution patch pairs are learned through a training dataset. When given a single new low-resolution image, which may not necessarily be related to any of the images in the training set, the learned algorithm is supposedly able to boost its resolution to a higher level. This second bran

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Book 2021e-consuming operations for material engineering and enhancing decision making for nano material exploration. A broad set of data science methods are covered, including the representations of images, shape analysis, image pattern analysis, and analysis of streaming images, change points detection, gr

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0884-8289 erial exploration. A broad set of data science methods are covered, including the representations of images, shape analysis, image pattern analysis, and analysis of streaming images, change points detection, gr978-3-030-72824-3978-3-030-72822-9Series ISSN 0884-8289 Series E-ISSN 2214-7934

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Lattice Pattern Analysis,dislocations, and defects in atom’s locations. Quantification of these spatial features allows material scientists to map material performance as a function of the features. In this chapter, we introduce the relevant state-of-the-art approaches regarding the lattice pattern analysis.

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