Condition Monitoring Using Computational Intelligence Methods

This collection of thirteen essays on current research into the nexus of neuroscience and computer modeling in the development of artificial intelligence (AI) systems is divided into four sections cov

This volume provides principals and other school leaders with a framework for leading, monitoring, and facilitating school inclusion efforts using a four-step, research-based model. It incorporates re

An accessible introduction to the theoretical and computational aspects of linear algebra using MapleTMMany topics in linear algebra can be computationally intensive, and software programs often serve

Recent computational and modeling advances have produced methods for estimating species trees directly, avoiding the problems and limitations of the traditional phylogenetic paradigm where an estimat

The multiplicity of possible carbon structures has posed in the last two decades a formidable challenge to theoretical and computational physicists, since not only a number of different methods (such

The representation theory of finite groups has seen rapid growth in recent years with the development of efficient algorithms and computer algebra systems. This is the first book to provide an introduction to the ordinary and modular representation theory of finite groups with special emphasis on the computational aspects of the subject. Evolving from courses taught at Aachen University, this well-paced text is ideal for graduate-level study. The authors provide over 200 exercises, both theoretical and computational, and include worked examples using the computer algebra system GAP. These make the abstract theory tangible and engage students in real hands-on work. GAP is freely available from www.gap-system.org and readers can download source code and solutions to selected exercises from the book's web page.

Ecologists and managers of natural resources readily acknowledge the importance of long-term studies and monitoring for improved understanding and management of complex environmental systems. Long-ter

The contents of the conference proceedings provide the most updated knowledge of the development and application of computational methods in all aspects of engineering and science with special emphasi

This monograph provides a general introduction to advanced computational methods for free energy calculations, from the systematic and rigorous point of view of applied mathematics. Free energy calcu

A gold mine of articles by leading scholars on mixed methodsSurveying the differing viewpoints and disciplinary approaches to using mixed methods, this volume helps readers explore the answers to a w

Hemodynamic Monitoring Made Incredibly Visual! Second Edition approaches this challenging subject by presenting the basic principles and practice of hemodynamic monitoring in a visually innovative w

As early childhood programs implement response to intervention, the Individual Growth and Development Indecators (IGDIs) will be the tool of choice for reliable, ongoing progress monitoring. That's wh

With PowerPivot, Microsoft brings the power of Microsoft's business intelligence tools to Excel and SharePoint users. Self-service business intelligence today augments traditional BI methods, allowing

A collection of highly valuable statistical and computational approaches designed for developing powerful methods to analyze large-scale high-throughput data derived from studies of complex diseases.

Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data-based introduction to methods of survival analysis. Research

Research in computational group theory, an active subfield of computational algebra, has emphasised three areas: finite permutation groups, finite solvable groups, and finitely presented groups. This book deals with the third of these areas. The author emphasises the connections with fundamental algorithms from theoretical computer science, particularly the theory of automata and formal languages, computational number theory, and computational commutative algebra. The LLL lattice reduction algorithm and various algorithms for Hermite and Smith normal forms from computational number theory are used to study the abelian quotients of a finitely presented group. The work of Baumslag, Cannonito and Miller on computing nonabelian polycyclic quotients is described as a generalisation of Buchberger's Gröbner basis methods to right ideals in the integral group ring of a polycyclic group. Researchers in computational group theory, mathematicians interested in finitely presented groups and theore

A complete and up-to-date survey of microeconometric methods available in Stata, Microeconometrics Using Stata, Revised Edition is an outstanding introduction to microeconometrics and how to execute m

This book contains computational methods for numerically computing steady state and Hopf bifurcations. It is probably the first textbook to describe these types of numerical bifurcation techniques. Th

While many excellent texts and monographs exist which cover various aspects of immunohistochemistry, the lack of a concise comprehensive guide to using the field’s methods was a major motivation for t

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanc

Covers the most advanced computational and experimental methods for studying carbon-centered radical intermediates With its focus on the chemistry of carbon-centered radicals and radical cations, this

Methods, Management and Marketing; The Change of Libraries; Digital Resources and New Library Models; Focus to Users and User Groups; Information Literacy; Quality, Using Qualitative and Quantitative

STATISTICAL METHODS FOR ENGINEERS offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using re

Computational systems biology unifies the mechanistic approach of systems biologywith the data-driven approach of computational biology. Computational systems biology aims todevelop algorithms that un

Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are justified by asymptotic arguments but are still based on the concepts and principles that underlie exact statistical inference. With this in perspective, this book presents a broad view of exact statistical inference and the development of asymptotic statistical inference, providing a justification for the use of asymptotic methods for large samples. Methodological results are developed on a concrete and yet rigorous mathematical level and are applied to a variety of problems that include categorical data, regression, and survival analyses. This book is designed as a textbook for advanced undergraduate or beginning graduate students in statistics, biostatistics, or applied statistics but may also be used as a

This handbook offers guidance on selections of appropriate computational methods and software packages for specific genetic problems. Coverage strikes a balance between methodological expositions and

The book consists of 29 chapters which have been selected and invited from the submissions to the 1st International Conference on Collective Intelligence - Semantic Web, Social Networks & Multiage

Computational Vision and Medical Image Processing, VIPIMAGE 2009 contains the full papers presented at VIPIMAGE 2009 - Second ECCOMAS Thematic Conference on Computational Vision and Medical Image Proc

Whether to continue using traditional cost and benefit analysis methods such as systems and software engineering standards or to use a relatively new family of software development processes known as

Intelligence operations face the challenging task of predicting the shape of future wars. This task is hindered by their limited ability to warn of peacetime foreign military innovation. Using formerl

Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides exemplary studies dealing with computational issues arising from a wide spectrum of econ

A one-of-a-kind guide to using deterministic and probabilistic methods for solving problems in the biological sciences Highlighting the growing relevance of quantitative techniques in scientific rese

Emotional Intelligence, more commonly referred to as EQ (emotional quotient) is the ability to be aware of one's own emotions and those of other people. More and more companies are using EQ tests to

Ecotoxicology Modeling is a comprehensive and well-documented text providing a collection of computational methods to the ecotoxicologists primarily interested in the study of the adverse effects of c

Carbon nanotubes are the fabric of nanotechnology. Investigation into their properties has become one of the most active fields of modern research. This book presents the key computational modelling and numerical simulation tools to investigate carbon nanotube characteristics. In particular, methods applied to geometry and bonding, mechanical, thermal, transport and storage properties are addressed. The first half describes classic statistical and quantum mechanical simulation techniques, (including molecular dynamics, Monte Carlo simulations and ab initio molecular dynamics), atomistic theory and continuum based methods. The second half discusses the application of these numerical simulation tools to emerging fields such as nanofluidics and nanomechanics. With selected experimental results to help clarify theoretical concepts, this is a self-contained book that will be of interest to researchers in a broad range of disciplines, including nanotechnology, engineering, materials science

Part of Tsinghua University Texts, "Statistical Properties of Deterministic Systems" discusses the fundamental theory and computational methods of the statistical properties of deterministic discrete

Martin Charles Golumbic has been making seminal contributions to algorithmic graph theory and artificial intelligence throughout his career. He is universally admired as a long-standing pillar of the

A classic in its field, this best-selling book teaches general research methods using standard and contemporary examples of criminal justice and criminology research. Featuring both qualitative and qu

In our new century, the theory of fuzzy sets and systems is in the core of "Soft Computing" and "Computational Intelligence" and has become a normal scientific theory in the fields of exact sciences a

This book targets development of efficient parallel computational methods for different scientific and technical applications. Readers who wish to design and implement efficient solutions on parallel