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Digital Image Processing: PIKS Inside, Third Edition.The book is intended to be an “industrial strength” introduction to digital image processing to be used as a text for an electrical engineering or computer science course in the subject. Also, it can be used as a reference manual for scientists who are engaged in image processing research, developers of image processing... | | | | Introduction to AutoCAD 2008: 2D and 3D DesignMaster the art of 2D and 3D technical drawing with Alf Yarwood's comprehensive and highly practical introductory guide
Taking the reader step-by-step through the features of AutoCAD, Alf Yarwood provides a practical, structured course of work matched to the latest release of this software. After... |
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| | Computer Modeling in Bioengineering: Theoretical Background, Examples and SoftwareBioengineering is a broad-based engineering discipline that applies engineering principles and design to challenges in human health and medicine, dealing with bio-molecular and molecular processes, product design, sustainability and analysis of biological systems. Applications that benefit from bioengineering include medical devices, diagnostic... | | Handbook of Special Functions: Derivatives, Integrals, Series and Other FormulasBecause of the numerous applications involved in this field, the theory of special functions is under permanent development, especially regarding the requirements for modern computer algebra methods. The Handbook of Special Functions provides in-depth coverage of special functions, which are used to help solve many of the most difficult problems in... |
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Analog ElectronicsIan Hickman is looked to by thousands of circuit designers for his innovative design ideas and clear explanations of the fundamentals of analog circuit design. This book is a distillation of Hickman's design insights, introducing all the main areas of analog electronics.
THE professional text for analog electronics Includes numerous... | | | | Data Mining: Concepts, Models and Techniques (Intelligent Systems Reference Library)
Data Mining represents a complex of technologies that are rooted in many disciplines: mathematics, statistics, computer science, physics, engineering, biology, etc., and with diverse applications in a large variety of different domains: business, health care, science and engineering, etc. Basically, data mining can be seen as the science of... |
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