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 Handbook of Nanophysics: Nanomedicine and Nanorobotics
The tools of nanodiagnostics, nanotherapy, and nanorobotics are expected to revolutionize the future of medicine, leading to presymptomatic diagnosis of disease, highly effective targeted treatment therapy, and minimum side effects. Handbook of Nanophysics: Nanomedicine and Nanorobotics presents an up-to-date overview of... |  |  BeagleBone Robotic Projects (Community Experiences Distilled)
Developer or hobbyist, you'll love the way this book helps you turn the BeagleBone Black into a working robot. From listening and speaking to seeing and moving, we'll show you how - step by step.
Overview
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Get to grips with robotic systems
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Communicate with your robot and teach it to...
|  |  Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data
Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient dimensionality reduction schemes than the traditional... |
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 Rapid BeagleBoard Prototyping with MATLAB and Simulink
Leverage the power of BeagleBoard to develop and deploy practical embedded projects
Overview
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Develop and validate your own embedded audio/video applications rapidly with Beagleboard
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Create embedded Linux applications on a pure Windows PC
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Full of illustrations, diagrams, and...
|  |  Mathematical and Computational Modeling of Tonality: Theory and Applications
From the Preface:
Blending ideas from operations research, music psychology, music theory, and cognitive science, this book aims to tell a coherent story of how tonality pervades our experience, and hence our models, of music.
The story is told through the developmental stages of the Spiral Array model for tonality, a... |  |  The Structure of Complex Networks: Theory and Applications
This book deals with the analysis of the structure of complex networks by combining results from graph theory, physics, and pattern recognition. The book is divided into two parts. 11 chapters are dedicated to the development of theoretical tools for the structural analysis of networks, and 7 chapters are illustrating, in a critical way,... |
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