Condition Monitoring Using Computational Intelligence Methods

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

This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and

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

An injury to the foot and ankle can be devastating to an athlete’s performance. Get your patients back to their peak physical condition using authoritative guidance from the only reference book focusi

Big ideas for curious minds are simply explained in this fascinating first introduction to artificial intelligence.Who invented the first artificial intelligence? How do machines listen without ears? And can I use artificial intelligence to talk to my pets?Learn what artificial intelligence is and how it works as you explore its impact on the environment, society and even our own bodies.Discover how artificial intelligence is used all around you, from smartphones and search engines to cars and prosthetic limbs, and how it might be used in the future!Fun, conversational text breaks down complex ideas so they are accessible to young readers.Created in consultation with experts from the University of Cambridge.Colourful and dynamic illustrations bring abstract concepts to life.For more big ideas, don't miss other titles in the series:Think Big: Secrets of BeesThink Big: The Speed of 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

This second edition volume brings together some of the best experts in the field of modern metabolomics to discuss the latest various techniques used to study specific metabolite classes, and metabolomics in bacterial and mammalian systems. The chapters in this book cover topics such as handling big data for metabolite identification and quantification, as well as building pathways for comparison with other omes, Isotopic Ratio Outlier Analysis (IROA) for quantitative analysis; cholesterol and derivatives in ocular tissues using LC-MS/MS methods; microbial metabolites analysis by mass spectrometry; the metabolomic study of tissues in different diseases; and NMR analysis in livestock metabolomics. It also includes several chapters on the emerging area of spatial metabolomics. Written in the highly successful Methods in Molecular Biology series format, the chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily repro

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

This reference book compiles the recent advances in computational and experimental modeling to screen and manage Alzheimer's disease. The book discusses how computer-aided drug design approaches reduc

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

Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially the last 25 years there has been an explosion of terms and methods born that automate and improve decision-making and operations. One term called Analytics is an overarching description of a compilation of methodologies. But, AI (Artificial Intelligence), statistics, decision science, optimization which have been around for decades has resurged. Also, things like business intelligence, On-line Analytical Processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology, terminology? Extending on the foundations introduced in the first book this book illustrates how professionals in healthcare, business and government are applying these disciplines, methods and technologies. The goal of this book is to get leaders and practitioners to start thinking about how they may deploy techniques outside their function or ind

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 expert offers a guide to where we should use artificial intelligence―and where we should not.Before we know it, artificial intelligence (AI) will work its way into every corner of our lives, making decisions about, with, and for us. Is this a good thing? There’s a tendency to think that machines can be more “objective” than humans―can make better decisions about job applicants, for example, or risk assessments. In Awkward Intelligence, AI expert Katharina Zweig offers readers the inside story, explaining how many levers computer and data scientists must pull for AI’s supposedly objective decision making. She presents the good and the bad: AI is good at processing vast quantities of data that humans cannot―but it’s bad at making judgments about people. AI is accurate at sifting through billions of websites to offer up the best results for our search queries and it has beaten reigning champions in games of chess and Go. But, drawing on her own research, Zweig shows how inac

This book mainly describes the basic concepts, fundamental theories and standard methods in essential Calculus of one single variable. It is written in English. The content is compact, popular and concise. Various types of examples and exercises have been devised in each section and chapter. The emphasis is on the fundamental computational abilities, especially the normal computation methods used in Calculus and subsequent courses. The main contents of this book includes Functions and Limits, Differentiation of Functions of One Single Variable, Integrals of Functions of One Single Variable and Applications of Integration, Differential Equations and Infinite Series. This book can serve as a textbook in English of essential Calculus taken by nonmathematics major students and international students, and is also suitable for other readers for reference purposes.

Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin

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.

Corpus linguistics continues to be a vibrant methodology applied across highly diverse fields of research in the language sciences. With the current steep rise in corpus sizes, computational power, statistical literacy and multi-purpose software tools, and inspired by neighbouring disciplines, approaches have diversified to an extent that calls for an intensification of the accompanying critical debate. Bringing together a team of leading experts, this book follows a unique design, comparing advanced methods and approaches current in corpus linguistics, to stimulate reflective evaluation and discussion. Each chapter explores the strengths and weaknesses of different datasets and techniques, presenting a case study and allowing readers to gauge methodological options in practice. Contributions also provide suggestions for further reading, and data and analysis scripts are included in an online appendix. This is an important and timely volume, and will be essential reading for any lingui

We’re not just smart computers! We do stuff that you humans think only you can do such as reasoning, recognizing faces, playing games, and even making art.Basher Science Mini: Artificial Intelligence

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!

Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVI

A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessibl

Artificial Intelligence is here, today. How can society make the best use of it?Until recently, "artificial intelligence" sounded like something out of science fiction. But the technology of artificial intelligence, AI, is becoming increasingly common, from self-driving cars to e-commerce algorithms that seem to know what you want to buy before you do. Throughout the economy and many aspects of daily life, artificial intelligence has become the transformative technology of our time.Despite its current and potential benefits, AI is little understood by the larger public and widely feared. The rapid growth of artificial intelligence has given rise to concerns that hidden technology will create a dystopian world of increased income inequality, a total lack of privacy, and perhaps a broad threat to humanity itself.In their compelling and readable book, two experts at Brookings discuss both the opportunities and risks posed by artificial intelligence--and how near-term policy decisions coul

Providing a detailed and pedagogical account of the rapidly-growing field of computational statistical physics, this book covers both the theoretical foundations of equilibrium and non-equilibrium statistical physics, and also modern, computational applications such as percolation, random walks, magnetic systems, machine learning dynamics, and spreading processes on complex networks. A detailed discussion of molecular dynamics simulations is also included, a topic of great importance in biophysics and physical chemistry. The accessible and self-contained approach adopted by the authors makes this book suitable for teaching courses at graduate level, and numerous worked examples and end of chapter problems allow students to test their progress and understanding.

This Element provides a basic introduction to sentiment analysis, aimed at helping students and professionals in corpus linguistics to understand what sentiment analysis is, how it is conducted, and where it can be applied. It begins with a definition of sentiment analysis and a discussion of the domains where sentiment analysis is conducted and used the most. Then, it introduces two main methods that are commonly used in sentiment analysis known as supervised machine-learning and unsupervised learning (or lexicon-based) methods, followed by a step-by-step explanation of how to perform sentiment analysis with R. The Element then provides two detailed examples or cases of sentiment and emotion analysis, with one using an unsupervised method and the other using a supervised learning method.

Leuprecht and McNorton offer the only systematic comparison of the world's most powerful intelligence alliance, colloquially known as the Five Eyes: the United States, the United Kingdom, Canada, Aust

Clinicians recognize that monitoring psychotropic levels provides invaluable information to optimize therapy and track treatment adherence, but they lack formal training specifically focused on the use of plasma antipsychotic levels for these purposes. As new technologies emerge to rapidly provide these results, the opportunity to integrate this information into clinical care will grow. This practical handbook clarifies confusing concepts in the literature on use of antipsychotic levels, providing clear explanations for the logic underlying clinically relevant concepts such as the therapeutic threshold and the point of futility, and how these apply to individual antipsychotics. It offers accessible information on the expected correlation between dosages and trough levels, and also provides a clear explanation of how to use antipsychotic levels for monitoring oral antipsychotic adherence, and methods to help clinicians differentiate between poor adherence and variations in drug metaboli

The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting.This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice.

This book focuses on the practical application of statistical techniques for assessing measurement invariance with less emphasis on theoretical development or exposition. Instead, it describes the methods using a pedagogical framework followed by extensive illustrations that demonstrate how to use software to analyze real data. The chapters illustrate the practical methods to assess measurement invariance and shows how to apply them to a range of data. The computer syntax and data sets used in this book are available for download here: people.umass.edu/cswells.

Malicious hackers utilize the World Wide Web to share knowledge. Analyzing the online communication of these threat actors can help reduce the risk of attacks. This book shifts attention from the defender environment to the attacker environment, offering a new security paradigm of 'proactive cyber threat intelligence' that allows defenders of computer networks to gain a better understanding of their adversaries by analyzing assets, capabilities, and interest of malicious hackers. The authors propose models, techniques, and frameworks based on threat intelligence mined from the heart of the underground cyber world: the malicious hacker communities. They provide insights into the hackers themselves and the groups they form dynamically in the act of exchanging ideas and techniques, buying or selling malware, and exploits. The book covers both methodology - a hybridization of machine learning, artificial intelligence, and social network analysis methods - and the resulting conclusions, det

The study of complex variables is beautiful from a purely mathematical point of view, and very useful for solving a wide array of problems arising in applications. This introduction to complex variables, suitable as a text for a one-semester course, has been written for undergraduate students in applied mathematics, science, and engineering. Based on the authors' extensive teaching experience, it covers topics of keen interest to these students, including ordinary differential equations, as well as Fourier and Laplace transform methods for solving partial differential equations arising in physical applications. Many worked examples, applications, and exercises are included. With this foundation, students can progress beyond the standard course and explore a range of additional topics, including generalized Cauchy theorem, Painlevé equations, computational methods, and conformal mapping with circular arcs. Advanced topics are labeled with an asterisk and can be included in the syllabus

The study of complex variables is beautiful from a purely mathematical point of view, and very useful for solving a wide array of problems arising in applications. This introduction to complex variables, suitable as a text for a one-semester course, has been written for undergraduate students in applied mathematics, science, and engineering. Based on the authors' extensive teaching experience, it covers topics of keen interest to these students, including ordinary differential equations, as well as Fourier and Laplace transform methods for solving partial differential equations arising in physical applications. Many worked examples, applications, and exercises are included. With this foundation, students can progress beyond the standard course and explore a range of additional topics, including generalized Cauchy theorem, Painlevé equations, computational methods, and conformal mapping with circular arcs. Advanced topics are labeled with an asterisk and can be included in the syllabus

Business Research Methods, 14e, contains stand-alone chapters that reflect research industry practices using real examples from all areas of business. In collaborations with over two dozen industry researchers, Schindler writes a real-world research methods book that distinguishes between big data analytics and small data with an emphasis on decision making. She eloquently covers ethical issues and their solutions, and has added more coverage of process models, sampling how-to, and data preparation.Conscious of the different learning styles of students, Schindler provides appropriate cues for both visual and verbal learners through the use of in-text exhibits, bolded key terms, conceptual photos throughout and research though-leader quotes in PowerPoints for each chapter. She also used various interim GreenBook Research Industry Trends (GRIT) reports to guide the research for this revision. The latest GRIT Report is based on the largest study of research suppliers and users ever conduc

The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.

The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.