Condition Monitoring Using Computational Intelligence Methods

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.

Papers from the Second International Conference on TDM Toxicology (date and place not stated) describe research on various aspects of therapeutic monitoring pharmacology, selected high-performance liq

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

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

Reflecting Alan Robinson's fundamental contribution to computational logic, this book brings together seminal papers in inference, equality theories, and logic programming. It is an exceptional collec

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

Bruce Berkowitz and Allan Goodman draw on historical analysis, interviews, and their own professional experience in the intelligence community to provide an evaluation of U.S. strategic intelligence.

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

This book provides an introduction to the theory and application of the solution of differential equations using symmetries, a technique of great value in mathematics and the physical sciences. In many branches of physics, mathematics, and engineering, solving a problem means a set of ordinary or partial differential equations. Nearly all methods of constructing closed form solutions rely on symmetries. The theory and application of such methods have therefore attracted increasing attention in the last two decades. In this text the emphasis is on how to find and use the symmetries in different cases. Many examples are discussed, and the book includes more than 100 exercises. This book will form an introduction accessible to beginning graduate students in physics, applied mathematics, and engineering. Advanced graduate students and researchers in these disciplines will find the book an invaluable reference.

This book is an account of current developments in computational chemistry, a new multidisciplinary area of research. Experts in computational chemistry, the editors use and develop techniques for com

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

Discover a practical, streamlined approach to systems development that focuses on the latest developments with Tilley's Systems Analysis and Design, Cengage International Edition, 13th, and MindTap digital resources. Real examples clearly demonstrate both traditional and emerging approaches to systems analysis and design, including object-oriented and agile methods. You also study emerging technologies such as artificial intelligence (AI), machine learning (ML), cloud computing and cybersecurity. Meaningful projects, insightful assignments and both online and printed exercises emphasize the critical thinking and IT skills that are most important in today's dynamic, business-related environment.

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

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding bot

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

The book elucidates the revolutionary and riveting research in the ultramodern domain of drone technologies, drone-enabled IoT applications, and artificial intelligence-based smart surveillance. The book explains the most recent developments in the field, challenges, and future scope of drone technologies. Beyond that, it discusses the importance of a wide range of design applications, drone/UAV development, and drone-enabled smart healthcare systems for smart cities. It describes pioneering work on mitigating cyber security threats by employing intelligent machine learning models in the designing of IoT-aided drones. The book also has a fascinating chapter on application intrusion detection by drones using recurrent neural networks. Other chapters address interdisciplinary fields like artificial intelligence, deep learning, the role of drones in healthcare in smart cities, and the importance of drone technology in agriculture.

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-

Have you found some exciting images that you want to explore but don’t know how to start your research or what methods to choose? Do you have a question about an aspect of visual culture that you want to answer?Whatever level of experience you have, this classic text will provide you with the key skills you need to complete a visual methods research project, understand the rationale behind each step, and engage with the contexts and power relations that shape our interpretation of visual images.With a clear step-by-step approach that is easy to dip in and out of, the book features:•Key examples in every methods chapter to demonstrate how the methods work in practice and with different visual materials•‘Focus’ and ‘Discussion’ features that help you practice your skills at specific parts of the methods and understand some of the method’s complexities•Guidance on researching using digital visual media, such as Instagram and TikTok, integrated throughout the book This bestselling critical

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

Probabilistic numerical computation formalises the connection between machine learning and applied mathematics. Numerical algorithms approximate intractable quantities from computable ones. They estimate integrals from evaluations of the integrand, or the path of a dynamical system described by differential equations from evaluations of the vector field. In other words, they infer a latent quantity from data. This book shows that it is thus formally possible to think of computational routines as learning machines, and to use the notion of Bayesian inference to build more flexible, efficient, or customised algorithms for computation. The text caters for Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. Extensive background material is provided along with a wealth of figures, worked examples, and exercises (with solutions) to develop intuition.

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

This book argues that lawyers must often rely on contestable ethical and strategic intuitions when dealing with legal and factual uncertainties in 'hard cases' of resort to force. This area of international law relies on multiple tests which can be interpreted in different ways, do not yield binary 'yes/no' answers, and together define 'paradigms' of lawful and unlawful force. Controversial cases of force differ from these paradigms, requiring lawyers to assess complex, incomplete factual evidence, and to forecast the immediate and long-term consequences of using and not using force. Legal rules cannot resolve such uncertainties; instead, techniques from legal risk management, strategic intelligence assessment and political forecasting may help. This study develops these arguments using the philosophy of knowledge, socio-legal, politico-strategic and ethical theory, structured interviews and a survey with 31 UK-based international lawyers, and systematic analysis of key International C

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