Condition Monitoring Using Computational Intelligence Methods

Agent-Based Computational Demography (ABCD) aims at starting a new stream of research among social scientists whose interests lie in understanding demographic behaviour. The book takes a micro-demogra

Gene sequence data is the most abundant type of data available, and if you're interested in analyzing it, you'll find a wealth of computational methods and tools to help you. In fact, finding the dat

Making History Count introduces the main quantitative methods used in historical research. The emphasis is on intuitive understanding and application of the concepts, rather than formal statistics; no knowledge of mathematics beyond simple arithmetic is required. The techniques are illustrated by applications in social, political, demographic and economic history. Students will learn to read and evaluate the application of the quantitative methods used in many books and articles, and to assess the historical conclusions drawn from them. They will also see how quantitative techniques can open up new aspects of an enquiry, and supplement and strengthen other methods of research. This textbook will encourage students to recognize the benefits of using quantitative methods in their own research projects. The text is clearly illustrated with tables, graphs and diagrams, leading the student through key topics. Additional support includes five specific historical data-sets, available from the

In this study of the legal and social condition of Jews and Christians subjected to Islamic rule (the dhimmis), Bat Ye’or examines various religious and historical sources, using the new term ‘dhimmit

Using sentence comprehension as a case study for all of cognitive science, David Townsend and Thomas Bever offer an integration of two major approaches, the symbolic-computational and the associative-

The Society for the Foundations of Computational Mathematics supports fundamental research in a wide spectrum of computational mathematics and its application areas. As part of its endeavour to promote research in computational mathematics, the society regularly organises conferences and workshops which bring together leading researchers in the diverse fields impinging on all aspects of computation. This book presents thirteen papers written by plenary speakers from the 1999 conference, all of whom are the foremost figures in their respective fields. Topics covered include complexity theory, approximation theory, optimisation, computational geometry, stochastic systems and the computation of partial differential equations. The wide range of topics covered illustrates the diversity of contemporary computational mathematics and the intricate web of its interaction with pure mathematics and application areas. This book will be of interest to researchers and graduate students in all areas

The concept and measurement of intelligence present a curious paradox. On the one hand, scientists, fluent in the complex statistics of intelligence-testing theories, devote their lives to exploration

Monitoring hazardous gases is highly complex, yet critical to semiconductor manufacturing. This book includes excerpts from codes and standards relevant to the industry, including the latest editions

Symmetry is the key to solving differential equations. There are many well-known techniques for obtaining exact solutions, but most of them are special cases of a few powerful symmetry methods. Furthermore, these methods can be applied to differential equations of an unfamiliar type; they do not rely on special 'tricks'. Instead, a given differential equation is forced to reveal its symmetries, which are then used to construct exact solutions. This book is a straightforward introduction to the subject, and is aimed at applied mathematicians, physicists, and engineers. The presentation is informal, using many worked examples to illustrate the main symmetry methods. It is written at a level suitable for postgraduates and advanced undergraduates, and is designed to enable the reader to master the main techniques quickly and easily. The book contains methods that have not previously appeared in a text. These include methods for obtaining discrete symmetries and integrating factors.

This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation. Computational finance, an excit

This book reviews psychological research on practical intelligence and describes its importance in everyday life. The authors reveal the importance of tacit knowledge - what we have learned from our own experience, through action. Although it has been seen as an indispensable element of expertise, intelligence researchers have found it difficult to quantify. The data shows that practical intelligence is psychologically and statistically distinct from academic intelligence, and is distinct as well from personality and styles of thought. The data also indicates that practical intelligence predicts job performance and even aspects of school performance as well as or better than does academic intelligence. This volume thoroughly examines studies of practical intelligence in the United States and in many other parts of the world as well, and for varied occupations, such as management, military leadership, teaching, research, and sales.

Not since the landmark publication of Handbook of Human Intelligence in 1982 has the field of intelligence been more alive than it is today. Spurred by the new developments in this rapidly expanding field, Dr Sternberg has brought together a stellar list of contributors to provide a comprehensive, broad and deeply thematic review of intelligence that will be accessible to both scholar and student. The field of intelligence is lively on many fronts, and this volume provides full coverage on topics such as behavior-genetic models, evolutionary models, cognitive models, emotional intelligence, practical intelligence, and group difference. Handbook of Intelligence is largely expanded, covering areas such as animal and artificial intelligence, as well as human intelligence. It fully reflects important theoretical progress made since the early 1980s.

This 1998 book describes the sampling and statistical methods used most often by behavioral ecologists and field biologists. Written by a biologist and two statisticians, it provides a rigorous discussion together with worked examples of statistical concepts and methods that are generally not covered in introductory courses, and which are consequently poorly understood and applied by field biologists. The first section reviews important issues such as defining the statistical population and the sampling plan when using non-random methods for sample selection, bias, interpretation of statistical tests, confidence intervals and multiple comparisons. After a detailed discussion of sampling methods and multiple regression, subsequent chapters discuss specialized problems such as pseudoreplication, and their solutions. It will quickly become the statistical handbook for all field biologists.

The twin themes of computational complexity and information pervade this 1998 book. It starts with an introduction to the computational complexity of continuous mathematical models, that is, information-based complexity. This is then used to illustrate a variety of topics, including breaking the curse of dimensionality, complexity of path integration, solvability of ill-posed problems, the value of information in computation, assigning values to mathematical hypotheses, and new, improved methods for mathematical finance. The style is informal, and the goals are exposition, insight and motivation. A comprehensive bibliography is provided, to which readers are referred for precise statements of results and their proofs. As the first introductory book on the subject it will be invaluable as a guide to the area for the many students and researchers whose disciplines, ranging from physics to finance, are influenced by the computational complexity of continuous problems.

Offering a broad description of qualitative research, this book facilitates the integration of qualitative and quantitative methods in organizational research. It examines the methods and tactics for

Computational techniques have become indispensable tools in solving complex problems in transport phenomena. This book, first published in 1997, provides a clear, user-oriented introduction to the subject. Each self-contained chapter includes a detailed worked example and a discussion of the problem system equations. Also included are the numerical methods used; computer code for the solution of the problem system equations; discussion of the numerical solution with emphasis on physical interpretation; and when appropriate, a comparison of the numerical solution with an analytical solution or a discussion of how the numerical solution goes beyond what can be done analytically, especially for nonlinear problems. Intended for students and a broad range of scientists and engineers, the book includes computer code written in transportable Fortran so that readers can produce the numerical solutions and then extend them to other cases. The programs are also available on the author's web site

The Feldendrais Method is a revolutionary approach to health and fitness. Using what Dr. Moshe Feldenkrais called ”Awareness Through Movement,” people of any age or condition can learn to

Strong women who prevail by using their intelligence, courage, or resourcefulness are celebrated in this gathering of stories from around the world.

The groundbreaking bestseller that redefines intelligence and successDoes IQ define our destiny? Daniel Goleman argues that our view of human intelligence is far too narrow, and that our emotions play

This book deals primarily with the numerical solution of linear systems of equations by iterative methods. The first part of the book is intended to serve as a textbook for a numerical linear algebra course. The material assumes the reader has a basic knowledge of linear algebra, such as set theory and matrix algebra, however it is demanding for students who are not afraid of theory. To assist the reader, the more difficult passages have been marked, the definitions for each chapter are collected at the beginning of the chapter, and numerous exercises are included throughout the text. The second part of the book serves as a monograph introducing recent results in the iterative solution of linear systems, mainly using preconditioned conjugate gradient methods. This book should be a valuable resource for students and researchers alike wishing to learn more about iterative methods.

Computational modelling allows researchers to combine the rich detail of qualitative research with the rigour of quantitative and formal research, as well as to represent complex structures and proces

This book presents a coherent introduction to boundary integral, boundary element and singularity methods for steady and unsteady flow at zero Reynolds number. The focus of the discussion is not only on the theoretical foundation, but also on the practical application and computer implementation. The text is supplemented with a number of examples and unsolved problems, many drawn from the field of particulate creeping flows. The material is selected so that the book may serve both as a reference monograph and as a textbook in a graduate course on fluid mechanics or computational fluid mechanics.

The dynamics of physical, chemical, biological, or fluid systems generally must be described by nonlinear models, whose detailed mathematical solutions are not obtainable. To understand some aspects of such dynamics, various complementary methods and viewpoints are of crucial importance. In this book the perspectives generated by analytical, topological and computational methods, and interplays between them, are developed in a variety of contexts. This book is a comprehensive introduction to this field, suited to a broad readership, and reflecting a wide range of applications. Some of the concepts considered are: topological equivalence; embeddings; dimensions and fractals; Poincaré maps and map-dynamics; empirical computational sciences vis-á-vis mathematics; Ulam's synergetics; Turing's instability and dissipative structures; chaos; dynamic entropies; Lorenz and Rossler models; predator-prey and replicator models; FPU and KAM phenomena; solitons and nonsolitons; coupled maps and patt

Computational Morphology is the first book to present an integrated set of techniques for the rigorous description of morphological phenomena in English and similar languages. Previous work on morphol

By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains the application of IRT methods to problem

The 22 applications described in this volume range from support for existing economic infrastructures such as monitoring foreign exchange transactions, assisting in recruiting industrial personnel, or

Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neu

Integral equations form an important class of problems, arising frequently in engineering, and in mathematical and scientific analysis. This textbook provides a readable account of techniques for their numerical solution. The authors devote their attention primarily to efficient techniques using high order approximations, taking particular account of situations where singularities are present. The classes of problems which arise frequently in practice, Fredholm of the first and second kind and eigenvalue problems, are dealt with in depth. Volterra equations, although attractive to treat theoretically, arise less often in practical problems and so have been given less emphasis. Some knowledge of numerical methods and linear algebra is assumed, but the book includes introductory sections on numerical quadrature and function space concepts. This book should serve as a valuable text for final year undergraduate or postgraduate courses, and as an introduction or reference work for practisin

First published in 1985, this book presents a 'triarchic' theory of human intelligence that goes beyond IQ in its conceptualisation and implications for assessment. The theory has three parts. The first deals with relations between intelligence and experience; the second, with relations between intelligence and the external world; the third part with relations between intelligence and the internal world of the individual. Robert J. Sternberg begins by sketching the history of intelligence research. He then outlines the three parts of the theory and adduces supporting evidence, including evidence from studies of 'practical' as well as 'academic' intelligence. He considers the issues raised by exceptional intelligence and by intelligence testing. His conclusions will be of interest to all those concerned with intelligence, its development and its measurement.

Describes methods for the indoor cultivation of numerous varieties of flowering orchids using natural and artificial light

Research Methods for Business, 9th Edition explains the principles and practices of using a systematic, organized research approach, facilitating the development of effective solutions to business challenges. Designed to help students view research from the perspective of management, this leading textbook guides readers through the entire business research process while fostering a deeper understanding of how to conduct rigorous, relevant, and ethical research.Provides a clear, student-friendly introduction to business research with an informal and accessible writing styleCovers a wide range of business research methods and practices used in areas such as human resources management, strategic management, operations management, finance, and accountingIntegrates real-world case studies and examples from various business disciplines to illustrate key conceptsEmphasizes both scientific and pragmatic approaches to research to ensure a well-rounded understandingEnhances critical thinking and

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo

In the era of 'Algorithmic Medicine, ' the integration of Artificial Intelligence (AI) in healthcare holds immense potential to address critical challenges faced by the industry. Drawing upon the expertise and experience of the authors in medicine, data science, medical informatics, administration, and entrepreneurship, this textbook goes beyond theoretical discussions to outline practical steps for transitioning AI from the experimental phase to real-time clinical integration. Using the Translational Science methodology, each chapter of the book concisely and perspicuously addresses the key issues associated with AI implementation in healthcare. Covering technical, clinical, ethical, regulatory, and legal considerations, the authors present evidence-based solutions and frameworks to overcome these challenges. Engaging case studies and a literature review of peer-reviewed studies and official documents from reputed organizations provide a balanced perspective, bridging the gap between

Providing a unique interpretation of Kant’s theory of judgement as integral to his overall project, Claudia Brodsky explores his continued relevance to contemporary theoretical concerns. The Linguistic Condition traces how Kant combined sensus communis, or common sense with the communicative nature of judgement to reveal that, for him, acts of judgement are dependent on their linguistic articulation, so that in Kantian philosophy language and judgement are inextricably linked. In this first in-depth analysis of language in the Critique of Judgement , Brodsky forms creative connections between literature and philosophy.

For cloud environments to deliver the business benefits and value they promise, their monitoring and management services must be optimally designed and configured. This is a complete, best-practice guide to selecting, deploying, and running Microsoft Azure's comprehensive monitoring and management services. Writing for every professional involved in delivering Azure services, leading cloud consultant Avinash Valiramani shows how to simplify administration, reduce downtime, avoid unnecessary cost, uncover and solve problems faster, and prepare yourself to address any new cloud workload or requirement. Valiramani offers practical guidance for all stages of your Azure journey, and all environments, no matter how sophisticated. You'll find detailed coverage of Azure Backup and Site Recovery, Azure Migrate, Azure Monitor, Azure Service Health, Azure Cost Optimization & Billing Center, Azure Cloud Shell, Azure Policy, and more. Drawing on his wide-ranging Azure experience, he combines hands-

An interdisciplinary, cross-cultural collection that decenters familiar narratives to provide a fresh perspective on what artificial intelligence is today, and what it might become.Historians, media theorists, science-fiction writers, philosophers, and artists from China and elsewhere reexamine the nation’s intense engagement with AI, moving beyond the clichés that still dominate contemporary debate.Today, visions of the contested future of AI veer between common planetary goals and a new Cold War, as culturally-specific models of intelligence, speculative traditions, and thought experiments come up against the emergence of novel forms of cognition that cannot be reduced to any historical cultural tradition.This uniquely positioned volume provides expert insight into this tension, using China as a touchstone for rethinking "artificiality" and "intelligence" as sites of difference in a way that is already present in the difficulty of precisely translating the Chinese term 人工智能. Tracking

A bestselling author, neuroscientist, and computer engineer unveils a theory of intelligence that will revolutionize our understanding of the brain and the future of AI. For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world-not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word.

Excel Power Pivot & Power Query For Dummies, 2nd Edtion will give data professionals a foundation in the using Excel to transform their data. Use Power Query to get your data into Excel, and then enrich that data using Power Pivot. Integrate your data from multiple platforms, improve business intelligence, and analyze at a higher level when you follow the step-by-step guides in this book. Excel enables professionals to save time and increase efficiency. Trust Dummies to help you reach your full data potential!