Computer science

Brings the latest advances in nanotechnology and biology to computing This pioneering book demonstrates how nanotechnology can create even faster, denser computing architectures and algorithms.

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This book deals with these parametric methods, first discussing those based on time series models, Capon s method and its variants, and then estimators based on the notions of sub-spaces.

Knowledge Management (KM) encompasses a wide range of tools and methods that are at the heart of the information and communication society and provide solutions that rely as much on organization as on technology.

PIONEERING WORK SHOWS HOW USING DIAGRAMS FACILITATES THE DESIGN OF BETTER AI SYSTEMS The publication of Diagrammatic Reasoning in AI marks an important milestone for anyone seeking to design graphical user interfaces to support decision-making and problem-solving tasks.

This title sets out to show that 2-D signal analysis has its own role to play alongside signal processing and image processing.

This book places IT in perspective by tracing its development through time, covering its origins in business, the massive expansion of the role of IT at the end of the 20th century, the growth of the internet, and the successes and failures of companies involved in this development.

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This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization, estimation of distribution algorithms, and artificial immune systems).

Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-destructive evaluation.

During the last decade, image and signal compression for storage and transmission purpose has seen a great expansion.

The latest techniques and principles of parallel and grid database processing The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS).

The first book to present a systematic and coherent picture of MIMO radars Due to its potential to improve target detection and discrimination capability, Multiple-Input and Multiple-Output (MIMO) radar has generated significant attention and widespread interest in academia, industry, government labs, and funding agencies.

Whether it's software, a cell phone, or a refrigerator, your customer wants - no, expects - your product to be easy to use.

No longer can the offline remain separate from the online.

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The rough and fuzzy set approaches presented here open up many new frontiers for continued research and development Computational Intelligence and Feature Selection provides readers with the background and fundamental ideas behind Feature Selection (FS), with an emphasis on techniques based on rough and fuzzy sets.

A self-contained approach to DSP techniques and applications in radar imaging The processing of radar images, in general, consists of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images.

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This is the first book to take a truly comprehensive look at clustering.

FPGA Prototyping Using Verilog Examples will provide you with a hands-on introduction to Verilog synthesis and FPGA programming through a learn by doing approach.

While digital technology has made acceptable photos easy to achieve, this book is about taking exceptional photos that preserve the essence of childhood.

The Nikon D40 and the D40x offer exciting new features that will enable you to take amazing digital photos.

Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations.

A unique, integrated treatment of computer modeling and simulation "e;The future of science belongs to those willing to make the shift to simulation-based modeling,"e; predicts Rice Professor James Thompson, a leading modeler and computational statistician widely known for his original ideas and engaging style.

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Spectral techniques facilitate the design and testing of today's increasingly complex digital devices There is heightened interest in spectral techniques for the design of digital devices dictated by ever increasing demands on technology that often cannot be met by classical approaches.

Discover the technology for the next generation of radar systems Here is the first book that brings together the key concepts essential for the application of Knowledge Based Systems (KBS) to radar detection, tracking, classification, and scheduling.

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Answers to your most pressing SOA development questions How do we start with service modeling?

A Step-by-Step Guide to Verification of Digital Systems This practical book provides a step-by-step, interactive introduction to formal verification of systems and circuits.

This description refers to the first edition of ActionScript 3.

This book uses a "e;learn by doing"e; approach to introduce the concepts and techniques of VHDL and FPGA to designers through a series of hands-on experiments.

A self-contained introduction to adaptive inverse control Now featuring a revised preface that emphasizes the coverage of both control systems and signal processing, this reissued edition of Adaptive Inverse Control takes a novel approach that is not available in any other book.

The only integrative approach to chaos and random fractal theory Chaos and random fractal theory are two of the most important theories developed for data analysis.

The only single, up-to-date source for Grid issues in bioinformatics and biology Bioinformatics is fast emerging as an important discipline for academic research and industrial applications, creating a need for the use of Grid computing techniques for large-scale distributed applications.

"e;In their fascinating analysis of the recent history of information technology, H.

A self-contained treatment of the fundamentals of quantum computing This clear, practical book takes quantum computing out of the realm of theoretical physics and teaches the fundamentals of the field to students and professionals who have not had training in quantum computing or quantum information theory, including computer scientists, programmers, electrical engineers, mathematicians, physics students, and chemists.

Knowing everything you can about each click to your Web site can help you make strategic decisions regarding your business.

"e;Much of pattern recognition theory and practice, including methods such as Support Vector Machines, has emerged in an attempt to solve the character recognition problem.

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing.

This comprehensive guide shows you how to integrate a variety of production tools for the Mac OS X platform into all stages of audio production so that you can create and produce music.

The book is designed to be accessible to motivated IT professionals who want to learn more about the specific attacks covered.

An accessible and up-to-date treatment featuring the connection between neural networks and statistics A Statistical Approach to Neural Networks for Pattern Recognition presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models.

Bringing together the results of more than 300 new design studies, an understanding of people, knowledge of hardware and software capabilities, and the author s practical experience gained from 45 years of work with display-based systems, this book addresses interface and screen design from the user s perspective.

An interdisciplinary framework for learning methodologies covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data.

This book focuses on systems analysis, broadly defined to also include problem formulation and interpretation of proposed alternatives in terms of the value systems of stakeholders.

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The Invocation Model of Process Expression argues that mathematics does not provide the most appropriate conceptual foundations for computer science, but, rather, that these foundations are a primary source of unnecessary complexity and confusion.

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