Titlebook: Neural Networks and Statistical Learning; Ke-Lin Du,M. N. S. Swamy Textbook 2019Latest edition Springer-Verlag London Ltd., part of Spring

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Ke-Lin Du,M. N. S. Swamycharides, lipids, etc. and their assembly, although preference to respe- ive subjects may be different among readers who are more interested in their biological significance or industrial and/or medical applications. Nevert- less, characterizing or revealing their secondary structure and dynamics ma

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Ke-Lin Du,M. N. S. Swamytrically active solid-state nanopore. Emphasis is placed on bio-detection via in-plane electronic current variations across semiconducting membranes made of two-dimensional (2D) materials, such as monolayer graphene and molybdenum disulfide. This approach that consists in coupling molecular dynamics

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Ke-Lin Du,M. N. S. Swamyn vitro diagnostics, drug discovery, and?next-generation information storage. While several proof-of-concept studies have been demonstrated the feasibility of many of these promising applications, work involving solid-state nanopores has been limited to research labs with specific nanofabrication ex

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Principal Component Analysis,rocessing setting, and is related to eigenvalue decomposition and singular value decomposition. This chapter introduces PCA, and the associated methods such as minor component analysis, generalized eigenvalue decomposition, singular value decomposition, factor analysis, and canonical correlation analysis.

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