Titlebook: Knowledge Computing and Its Applications; Knowledge Manipulati S. Margret Anouncia,Uffe Kock Wiil Book 2018 Springer Nature Singapore Pte L

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Breast Cancer Classification Using Deep Neural Networksion rate than SVM. So, the researchers used deep learning method for hyper-spectral data classification. This chapter used DNN to learn deep features of data. The DNN with multiple layers of processing is applied to classify the breast cancer data. The system was experimented on Wisconsin Breast Can

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User Interface Design Recommendations Through Multi-Criteria Decision Analysissome amount of craft which may involve series of procedures, techniques, and tools. However, the decision making in dynamic environments to choose the techniques and tools is seemingly intractable and is complex because of natural trade-offs. Apparently, choosing from existing alternatives will freq

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S. Karthik,R. Srinivasa Perumal,P. V. S. S. R. Chandra Mouliof the late Boris Vasilievich Fedosov (1938–2011) who is best known for a simple and very natural construction of a deformation quantization for any symplectic manifold, and for his contributions to index theory.​978-3-0348-0781-4978-3-0348-0645-9Series ISSN 2297-0215 Series E-ISSN 2297-024X

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of the late Boris Vasilievich Fedosov (1938–2011) who is best known for a simple and very natural construction of a deformation quantization for any symplectic manifold, and for his contributions to index theory.​978-3-0348-0781-4978-3-0348-0645-9Series ISSN 2297-0215 Series E-ISSN 2297-024X

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D. Jyothi Ratnam,M. Anand Kumar,B. Premjith,K. P. Soman,S. Rajendranof the late Boris Vasilievich Fedosov (1938–2011) who is best known for a simple and very natural construction of a deformation quantization for any symplectic manifold, and for his contributions to index theory.​978-3-0348-0781-4978-3-0348-0645-9Series ISSN 2297-0215 Series E-ISSN 2297-024X

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ely related to inverse problems for kinetic and linear transport equations that are discussed in Section 3. In Section 4 we present some results on the nonlinear boundary rigidity problem whose derivation is based on stability estimates for the ray transform. Section 5 is devoted to the periodic ver

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H. Shaila Koppad,S. Anupama Kumaresearch trends in PDEs. In particular, the volume collects significant results for sub-elliptic equations, potential theory and diffusion equations, with an emphasis on comparing different methodologies and on their implications for theory and applications. .978-3-319-34699-1978-3-319-02666-4Series ISSN 2281-518X Series E-ISSN 2281-5198

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