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Marcia Kaufman Cognitive Computing and Big Data Analytics


A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computings underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Todays cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.

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Zhang Honggang Cognitive Communications. Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation


This book discusses in-depth the concept of distributed artificial intelligence (DAI) and its application to cognitive communications In this book, the authors present an overview of cognitive communications, encompassing both cognitive radio and cognitive networks, and also other application areas such as cognitive acoustics. The book also explains the specific rationale for the integration of different forms of distributed artificial intelligence into cognitive communications, something which is often neglected in many forms of technical contributions available today. Furthermore, the chapters are divided into four disciplines: wireless communications, distributed artificial intelligence, regulatory policy and economics and implementation. The book contains contributions from leading experts (academia and industry) in the field. Key Features: Covers the broader field of cognitive communications as a whole, addressing application to communication systems in general (e.g. cognitive acoustics and Distributed Artificial Intelligence (DAI) Illustrates how different DAI based techniques can be used to self-organise the radio spectrum Explores the regulatory, policy and economic issues of cognitive communications in the context of secondary spectrum access Discusses application and implementation of cognitive communications techniques in different application areas (e.g. Cognitive Femtocell Networks (CFN) Written by experts in the field from both academia and industry Cognitive Communications will be an invaluable guide for research community (PhD students, researchers) in the areas of wireless communications, and development engineers involved in the design and development of mobile, portable and fixed wireless systems., wireless network design engineer. Undergraduate and postgraduate students on elective courses in electronic engineering or computer science, and the research and engineering community will also find this book of interest.

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Frederic Magoules Data Mining and Machine Learning in Building Energy Analysis. Towards High Performance Computing


Focusing on up-to-date artificial intelligence models to solve building energy problems, Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues, including detailed and simplified engineering methods, statistical methods, and artificial intelligence methods. The text also simulates energy consumption profiles for single and multiple buildings. Based on these datasets, Support Vector Machine (SVM) models are trained and tested to do the prediction. Suitable for novice, intermediate, and advanced readers, this is a vital resource for building designers, engineers, and students.

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Hojjat Adeli Computational Intelligence. Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing


Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems. Applications to linear and non-linear systems are discussed with examples. Key features: Covers all the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB® exercises and applications in each chapter Presents the synergies of technologies of computational intelligence such as evolutionary fuzzy neural fuzzy and evolutionary neural systems Considers real world problems in the domain of systems modelling, control and optimization Contains a foreword written by Lotfi Zadeh Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing is an ideal text for final year undergraduate, postgraduate and research students in electrical, control, computer, industrial and manufacturing engineering.

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Tobias Egner The Wiley Handbook of Cognitive Control


Covering basic theory, new research, and intersections with adjacent fields, this is the first comprehensive reference work on cognitive control – our ability to use internal goals to guide thought and behavior. Draws together expert perspectives from a range of disciplines, including cognitive psychology, neuropsychology, neuroscience, cognitive science, and neurology Covers behavioral phenomena of cognitive control, neuroanatomical and computational models of frontal lobe function, and the interface between cognitive control and other mental processes Explores the ways in which cognitive control research can inform and enhance our understanding of brain development and neurological and psychiatric conditions

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Kai Hwang Big-Data Analytics for Cloud, IoT and Cognitive Computing


The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

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Laurence Yang T. Mobile Intelligence


* Focuses on learning patterns and knowledge from data generated by mobile users and mobile technology. * Covers research and application issues in applying computational intelligence applications to mobile computing * Delivers benefits to a wide range of applications * Introduces the state of the art of computational intelligence to the mobile paradigm

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Mark Muse Cognitive Behavioral Psychopharmacology. The Clinical Practice of Evidence-Based Biopsychosocial Integration


Outlines a comprehensive, evidence-based approach to coordinating psychopharmacological and psychotherapeutic treatments Cognitive Behavioral Psychopharmacology takes an evidence-based approach to demonstrating the advantages of biopsychosocial integration in interventions for the major psychiatric diagnoses. It is the first and only book to translate the current evidence for cognitive behavioral, psychosocial, and pharmacologic approaches to mental health disorders into clear guidance for clinical practice. There is a burgeoning movement in mental health to acknowledge the entire person’s functioning across physical, psychological and social spheres, and to integrate medical as well as psychological and social interventions to address the entire spectrum of presenting problems. This book bridges a gap in the professional mental health literature on the subject of standalone versus combined treatment approaches. It reviews the current state of integrative care, and makes a strong case that optimal outcomes are best achieved by an awareness of how and why the cognitive-behavioral aspects of prescribed medical and psychological interventions influence treatment. Each disorder-specific chapter is authored by a prescriber and psychotherapist team who consider all the evidence around treatments and combinations, providing outcome conclusions and concise tables of recommended front-line interventions. Provides a biopsychsocial perspective that integrates the medical, psychotherapeutic, family, and community aspects of the therapeutic process Brings together and compares the current evidence for and against treatments that combine psychopharmacology and cognitive behavioral psychotherapy for major psychiatric diagnoses Outlines an evidence-based approach to determining which combination of treatments is most appropriate for each of the major psychiatric diagnoses Describes, in a way that is accessible to both prescribers and therapists, when and how cognitive behavioral therapy can be integrated into pharmacotherapy The book will appeal to a wide range of mental health professionals, including psychologists, psychiatrists, clinical social workers, licensed professional counselors, marriage and family therapists, and addictions counselors. It also will be of interest to primary care physicians and nurse practitioners who work side by side with mental health professionals.

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Robin Murphy A. The Wiley Handbook on the Cognitive Neuroscience of Learning


The Wiley Handbook on the Cognitive Neuroscience of Learning charts the evolution of associative analysis and the neuroscientific study of behavior as parallel approaches to understanding how the brain learns that both challenge and inform each other. Covers a broad range of topics while maintaining an overarching integrative approach Includes contributions from leading authorities in the fields of cognitive neuroscience, associative learning, and behavioral psychology Extends beyond the psychological study of learning to incorporate coverage of the latest developments in neuroscientific research

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Simon Haykin Fundamentals of Cognitive Radio


A comprehensive treatment of cognitive radio networks and the specialized techniques used to improve wireless communications The human brain, as exemplified by cognitive radar, cognitive radio, and cognitive computing, inspires the field of Cognitive Dynamic Systems. In particular, cognitive radio is growing at an exponential rate. Fundamentals of Cognitive Radio details different aspects of the human brain and provides examples of how it can be mimicked by cognitive dynamic systems. The text offers a communication-theoretic background, including information on resource allocation in wireless networks and the concept of robustness. The authors provide a thorough mathematical background with data on game theory, variational inequalities, and projected dynamic systems. They then delve more deeply into resource allocation in cognitive radio networks. The text investigates the dynamics of cognitive radio networks from the perspectives of information theory, optimization, and control theory. It also provides a vision for the new world of wireless communications by integration of cellular and cognitive radio networks. This groundbreaking book: Shows how wireless communication systems increasingly use cognition to enhance their networks Explores how cognitive radio networks can be viewed as spectrum supply chain networks Derives analytic models for two complementary regimes for spectrum sharing (open-access and market-driven) to study both equilibrium and disequilibrium behaviors of networks Studies cognitive heterogeneous networks with emphasis on economic provisioning for resource sharing Introduces a framework that addresses the issue of spectrum sharing across licensed and unlicensed bands aimed for Pareto optimality Written for students of cognition, communication engineers, telecommunications professionals, and others, Fundamentals of Cognitive Radio offers a new generation of ideas and provides a fresh way of thinking about cognitive techniques in order to improve radio networks.

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Mircea Eremia Advanced Solutions in Power Systems. HVDC, FACTS, and Artificial Intelligence


Provides insight on both classical means and new trends in the application of power electronic and artificial intelligence techniques in power system operation and control This book presents advanced solutions for power system controllability improvement, transmission capability enhancement and operation planning. The book is organized into three parts. The first part describes the CSC-HVDC and VSC-HVDC technologies, the second part presents the FACTS devices, and the third part refers to the artificial intelligence techniques. All technologies and tools approached in this book are essential for power system development to comply with the smart grid requirements. Discusses detailed operating principles and diagrams, theory of modeling, control strategies and physical installations around the world of HVDC and FACTS systems Covers a wide range of Artificial Intelligence techniques that are successfully applied for many power system problems, from planning and monitoring to operation and control Each chapter is carefully edited, with drawings and illustrations that helps the reader to easily understand the principles of operation or application Advanced Solutions in Power Systems: HVDC, FACTS, and Artificial Intelligence is written for graduate students, researchers in transmission and distribution networks, and power system operation. This book also serves as a reference for professional software developers and practicing engineers.

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Athena Drewes A. Blending Play Therapy with Cognitive Behavioral Therapy. Evidence-Based and Other Effective Treatments Techniques


In todays managed-care environment, therapeutic techniques must be proven to be effective to be reimbursable. This comprehensive volume is written by leaders in the field and collects classic and emerging evidence-based and cognitive behavioral therapy treatments therapists can use when working with children and adolescents. Step-by-step instruction is provided for implementing the treatment protocol covered. In addition, a special section is included on therapist self-care, including empirically supported studies. For child and play therapists, as well school psychologists and school social workers.

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Jim Sterne Artificial Intelligence for Marketing. Practical Applications


A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your companys marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the «need-to-know» aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.

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Graham Bodie D. The Sourcebook of Listening Research. Methodology and Measures


Essential reading for listening researchers across a range of disciplines, The Sourcebook of Listening Research: Methodology and Measures is a landmark publication that defines the field of listening research and its best practices. the definitive guide to listening methodology and measurement with contributions from leading listening scholars and researchers Evaluates current listening methods and measures, with attention to scale development, qualitative methods, operationalizing cognitive processes, and measuring affective and behavioral components A variety of theoretical models for assessing the cognitive, affective, and behavioral facets of listening are presented alongside 65 measurement profiles Outlines cutting-edge trends in listening research, as well as the complexities involved in performing successful research in this area

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With coverage of the latest theory and research, this is a complete guide to implementing cognitive behavioral group therapy for practitioners and trainees in a range of mental health disciplines. Presents evidence-based protocols for depression, panic, social anxiety, generalized anxiety, posttraumatic stress, OCD, compulsive hoarding, psychosis, and addiction Provides innovative solutions for achieving efficient, effective therapy as mandated by emerging health care priorities, as well as trouble-shoots for common problems such as dropouts Details unique strategies for working with ethnic minorities and clients across the age spectrum, along with material on mindfulness augmentation and transdiagnostic approaches Includes clear, accessible instructions, complete with references to DSM-5 diagnostic changes, real-life clinical examples, and group session transcripts

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