- Table View
- List View
Intelligent Computing and Optimization for Sustainable Development
by Veena Grover Rajesh Kumar Dhanaraj Balamurugan Balusamy Gopal RathinamThis book presents insights into how Intelligent Computing and Optimization techniques can be used to attain the goals of Sustainable Development. It provides a comprehensive overview of the latest breakthroughs and recent developments in sustainable, intelligent computing technologies, applications, and optimization techniques across various industries, including business process management, manufacturing, financial sector, agriculture, financial sector, supply chain management, and healthcare. It focuses on computational intelligent techniques and optimization techniques to provide sustainable solutions to many problems. Features: Provides insights into the theory, implementation, and application of computational intelligence techniques in many industries Includes industry practitioner perspectives and case studies for a better understanding of sustainable solutions Highlights the role of intelligent computing and optimization as key technologies in decision-making processes and in providing cutting-edge solutions to real-world problems Addresses the challenges and limitations of computational approaches in sustainability, such as data availability, model uncertainty, and computational complexity, while also discusses emerging opportunities and future directions in the field This book will be useful for professionals and scholars looking for up-to-date research on cutting-edge perspectives in the field of computational intelligent and optimization techniques in the areas of agriculture, industry, financial sector, business automation, renewable energy, optimization, and smart cities.
Intelligent Computing, Information and Control Systems: ICICCS 2019 (Advances in Intelligent Systems and Computing #1039)
by Klimis Ntalianis A. Pasumpon Pandian Ram PalanisamyFrom past decades, Computational intelligence embraces a number of nature-inspired computational techniques which mainly encompasses fuzzy sets, genetic algorithms, artificial neural networks and hybrid neuro-fuzzy systems to address the computational complexities such as uncertainties, vagueness and stochastic nature of various computational problems practically. At the same time, Intelligent Control systems are emerging as an innovative methodology which is inspired by various computational intelligence process to promote a control over the systems without the use of any mathematical models. To address the effective use of intelligent control in Computational intelligence systems, International Conference on Intelligent Computing, Information and Control Systems (ICICCS 2019) is initiated to encompass the various research works that helps to develop and advance the next-generation intelligent computing and control systems. This book integrates the computational intelligence and intelligent control systems to provide a powerful methodology for a wide range of data analytics issues in industries and societal applications. The recent research advances in computational intelligence and control systems are addressed, which provide very promising results in various industry, business and societal studies. This book also presents the new algorithms and methodologies for promoting advances in common intelligent computing and control methodologies including evolutionary computation, artificial life, virtual infrastructures, fuzzy logic, artificial immune systems, neural networks and various neuro-hybrid methodologies. This book will be pragmatic for researchers, academicians and students dealing with mathematically intransigent problems. It is intended for both academicians and researchers in the field of Intelligent Computing, Information and Control Systems, along with the distinctive readers in the fields of computational and artificial intelligence to gain more knowledge on Intelligent computing and control systems and their real-world applications.
Intelligent Control
by Alan Hall Willem De LintMassive public protests have had a prominent presence at the turn of the millennium, with many thousands of protestors controlled by small, yet, increasingly specialized police forces. Investigating the ways in which police practices have evolved in relation to labour strikes and protests, Intelligent Control examines the means by which police forces have developed more coercive and consent-based approaches to regulating social unrest. Willem de Lint and Alan Hall argue that police forces have been gradually adapting public order operations to match or reflect wider trends in politics and society. The main such development is the enfolding of neoliberalism. Police and labour and protester adaptations have followed a fine line between legitimacy and illegitimacy, consent and coercion. The authors explore the development of consent policing from its roots in labour strike countering and the emergence of what they call 'intelligent control' from expanded covert, intelligence-gathering operations. A concise study of how police practices changed from the 1960s to the present day, Intelligent Control is an informative account of a revolution in modern policing.
Intelligent Control and Smart Energy Management: Renewable Resources and Transportation (Springer Optimization and Its Applications #181)
by Maude Josée Blondin João Pedro Fernandes Trovão Hicham Chaoui Panos M. PardalosThis volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy management. Techniques, combined with technological advances, have enabled the deployment of new operating systems in many engineering applications, especially in the domain of transport and renewable resources. The control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating. As a result, these techniques, also referred to as autonomous control and energy management, will become practically ubiquitous soon. The discussions include methods, based on neural control (and others) as well as distributed and intelligent optimization. While the theoretical concepts are detailed and explained, the techniques presented are tailored to transport and renewable resources applications, such as smart grids and automated vehicles. The reader will grasp the most important theoretical concepts as well as to fathom the challenges and needs related to timely practical applications. Additional content includes research perspectives and future direction as well as insight into the devising of techniques that will meet tomorrow’s scientific needs. This contributed volume is for researchers, graduate students, engineers and practitioners in the domains of control, energy, and transportation.
Intelligent Credit Scoring: Building and Implementing Better Credit Risk Scorecards (Second Edition) (Wiley And Sas Business Ser. #3)
by Naeem SiddiqiIntelligent Credit Scoring presents a business-oriented process for the development and implementation of risk prediction scorecards. The credit scorecard is a powerful tool for measuring the risk of individual borrowers, gauging overall risk exposure and developing analytically driven, risk-adjusted strategies for existing customers. In the past 10 years, hundreds of banks worldwide have brought the process of developing credit scoring models in-house, while ‘credit scores' have become a frequent topic of conversation in many countries where bureau scores are used broadly. In the United States, the ‘FICO' and ‘Vantage' scores continue to be discussed by borrowers hoping to get a better deal from the banks. While knowledge of the statistical processes around building credit scorecards is common, the business context and intelligence that allows you to build better, more robust, and ultimately more intelligent, scorecards is not. As the follow-up to Credit Risk Scorecards, this updated second edition includes new detailed examples, new real-world stories, new diagrams, deeper discussion on topics including WOE curves, the latest trends that expand scorecard functionality and new in-depth analyses in every chapter. Expanded coverage includes new chapters on defining infrastructure for in-house credit scoring, validation, governance, and Big Data. Black box scorecard development by isolated teams has resulted in statistically valid, but operationally unacceptable models at times. This book shows you how various personas in a financial institution can work together to create more intelligent scorecards, to avoid disasters, and facilitate better decision making. Intelligent Credit Scoring helps you organise resources, streamline processes, and build more intelligent scorecards that will help achieve better results.
An Intelligent Customer Complaint Management System with Application to the Transport and Logistics Industry (Springer Theses)
by Alireza FaedThis thesis addresses the issue of customer complaints in the context of Customer Relationship Management (CRM). After a comprehensive survey of the current literature on CRM, the thesis describes the development of a new intelligent CRM (I-CRM) framework, which integrates text analytics, type mapping, SPSS, structural equation modeling, and linear and fuzzy approaches. This new methodology, in contrast to previous ones, is able to handle customer complaints with respect to different variables, thus allowing organizations to find their key customers and key complaints, and to address and provide solution to the major complaints of the key customers, hence promoting business development. The thesis also describes the successful application of the method to a real-world case, represented by the immeasurable truck drivers complaints at the Fremantle port in Western Australia.
Intelligent Cyber-Physical Systems for Healthcare Solutions: From Theory to Practice
by Mamta Mittal Jyotindra NarayanThis book widens the insights with the advent of data-driven techniques using intelligent Cyber-Physical Systems to monitor and diagnose patients, provide personalized treatments, and enhance the overall quality of care. Intelligent Cyber-Physical Systems for healthcare solutions is an emerging area of research that aims to integrate advanced technologies, such as sensors, actuators, artificial intelligence, and the Internet of things, with healthcare systems to improve patient outcomes. This book provides an overview of the state-of-the-art in this field, showcasing the latest advances in cyber-physical systems design and implementation—the challenges and opportunities in applying CPS to healthcare. The book covers various aspects of intelligent cyber-physical systems in healthcare, including architecture, communication protocols, data processing, monitoring, diagnosis, rehabilitation, and assistive technologies. It also addresses important issues such as security, privacy, and ethics considerations and presents best practices for ensuring the safety and reliability of CPS in healthcare. The book offers a valuable resource for researchers, practitioners, and students to transform healthcare and improve patient outcomes while highlighting the need for interdisciplinary collaboration and ethical considerations in its design and implementation.
Intelligent Data Analytics in Business: Select Proceedings of ICDABM 2022 (Lecture Notes in Electrical Engineering #1068)
by Kiran Chaudhary Mansaf Alam Narayan C. DebnathThis book includes peer-reviewed contributions presented at the International Conference on Data Analytics in Business and Marketing, ICDABM 2022. The book covers topics in data analytics, intelligent data, data management in business and marketing, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from the industry, which is helpful for young researchers and students.
Intelligent Decarbonisation: Can Artificial Intelligence and Cyber-Physical Systems Help Achieve Climate Mitigation Targets? (Lecture Notes in Energy #86)
by Oliver Inderwildi Markus KraftThe book explains the need to decarbonise energy supplies, urban systems and industrial processes to reduce global greenhouse gases and meet the ambitious emissions reduction goals set out in the Paris Agreement 2016. It discusses how the introduction of AI to cyber-physical systems (CPS) can do this, using illustrations throughout to highlight the potential impacts.Intelligent Decarbonisation comprehensively assesses the current and future impact of digital technologies and artificial intelligence (AI) on the decarbonisation of key economic sectors.The book is divided into four parts – Technology, Impact, Implications and Incubation – moving clearly from the theoretical and technical to the real-world effects and areas for future development. It also presents insights into the economic and environmental transformation fostered by digital technologies.Intelligent Decarbonisation brings together work from private and public sector professionals, academics and think tank experts, and provides truly comprehensive insights into the topic. It is an interesting and informative text for policymakers, researchers and industry professionals alike.
Intelligent Decision Making in Quality Management
by Cengiz Kahraman Seda YanıkThis book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.
Intelligent Decision-making Models for Production and Retail Operations
by Zhaoxia GuoThis book provides an overview of intelligent decision-making techniques and discusses their application in production and retail operations. Manufacturing and retail enterprises have stringent standards for using advanced and reliable techniques to improve decision-making processes, since these processes have significant effects on the performance of relevant operations and the entire supply chain. In recent years, researchers have been increasingly focusing attention on using intelligent techniques to solve various decision-making problems. The opening chapters provide an introduction to several commonly used intelligent techniques, such as genetic algorithm, harmony search, neural network and extreme learning machine. The book then explores the use of these techniques for handling various production and retail decision-making problems, such as production planning and scheduling, assembly line balancing, and sales forecasting.
Intelligent Decision Support Systems
by Miquel Sànchez-MarrèThis book presents the potential use and implementation of intelligent techniques in decision making processes involved in organizations and companies. It provides a thorough analysis of decisions, reviewing the classical decision theory, and describing usual methods for modeling the decision process. It describes the chronological evolution of Decision Support Systems (DSS) from early Management Information Systems until the appearance of Intelligent Decision Support Systems (IDSS). It explains the most commonly used intelligent techniques, both data-driven and model-driven, and illustrates the use of knowledge models in Decision Support through case studies. The author pays special attention to the whole Data Science process, which provides intelligent data-driven models in IDSS. The book describes main uncertainty models used in Artificial Intelligence to model inexactness; covers recommender systems; and reviews available development tools for inducing data-driven models, for using model-driven methods and for aiding the development of Intelligent Decision Support Systems
Intelligent Decision Support Systems: Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Słowiński (Multiple Criteria Decision Making)
by Constantin Zopounidis Jerzy Stefanowski Vincent Mousseau Salvatore GrecoThis book presents a collection of essays written by leading researchers to honor Roman Słowiński’s major scholarly interests and contributions. He is well-known for conducting extensive research on methodologies and techniques for intelligent decision support, where he combines operational research and artificial intelligence. The book reconstructs his main contributions, presents cutting-edge research and provides an outlook on the most promising and advanced domains of computer science and multiple criteria decision aiding. The respective chapters cover a wide range of related research areas, including decision sciences, ordinal data mining, preference learning and multiple criteria decision aiding, modeling of uncertainty and imprecision in decision problems, rough set theory, fuzzy set theory, multi-objective optimization, project scheduling and decision support applications. As such, the book will appeal to researchers and scholars in related fields.
Intelligent Decision Technologies
by Rui Neves-Silva Lakhmi C. Jain Robert J. HowlettThis book presents the 57 papers accepted for presentation at the Seventh KES International Conference on Intelligent Decision Technologies (KES-IDT 2015), held in Sorrento, Italy, in June 2015. The conference consists of keynote talks, oral and poster presentations, invited sessions and workshops on the applications and theory of intelligent decision systems and related areas. The conference provides an opportunity for the presentation and discussion of interesting new research results, promoting knowledge transfer and the generation of new ideas. The book will be of interest to all those whose work involves the development and application of intelligent decision systems.
Intelligent Decision Technology Support in Practice
by Jeffrey W. Tweedale Rui Neves-Silva Lakhmi C. Jain Gloria Phillips-Wren Junzo Watada Robert J. HowlettThis book contains a collection of innovative chapters emanating from topics raised during the 5th KES International Conference on Intelligent Decision Technologies (IDT), held during 2013 at Sesimbra, Portugal. The authors were invited to expand their original papers into a plethora of innovative chapters espousing IDT methodologies and applications. This book documents leading-edge contributions, representing advances in Knowledge-Based and Intelligent Information and Engineering System. It acknowledges that researchers recognize that society is familiar with modern Advanced Information Processing and increasingly expect richer IDT systems. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications. Anyone that wants to work with IDT or simply process knowledge should consider reading one or more chapters and focus on their technique of choice. Most readers will benefit from reading additional chapters to access alternative technique that often represent alternative approaches. This book is suitable for anyone interested in or already working with IDT or Intelligent Decision Support Systems. It is also suitable for students and researchers seeking to learn more about modern Artificial Intelligence and Computational Intelligence techniques that support decision-making in modern computer systems.
Intelligent Disobedience: The Difference between Good and Great Leaders
by Bob McGannonObeying all of the rules rarely generates breakthrough business performance because it does not generate new approaches. Breaking the rules randomly does not work either. Intelligent disobedience values improved business performance over compliance with the rules, when conditions permit. This is the essence of intelligent disobedience: knowing when and how to break, bend, or invent new rules to get better outcomes. This book promotes enhanced performance by promoting a higher form of ethics. Intelligent disobedience seeks to surface hidden truth and to produce actions that are of higher integrity to yield superior results. The book guides the reader to evaluate their work environment, current business results, and risk, to determine if, when, and how acting with intelligent disobedience can enhance their business outcomes and their career. Intelligent Disobedience: The Difference between Good and Great Leaders seeks to: enhance the reader’s business success; help the reader examine methods for proposing potentially unpopular directions or opinions; propose a decision-making process for when the reader should "bend or break the rules" – leveraging common sense over common processes on an exception basis; guide the reader to determine instances in which improved outcomes are better than ensuring compliance with corporate norms or management directions. This rich and sophisticated book interweaves real-life experiences from successful leaders with the themes of human psychology, ethics, decision making, delegation, communicating upwards and downwards ... Everything the senior manager needs to survive and thrive in a complex, uncertain, ambiguous, and fast-changing world.
Intelligent Disobedience
by Philip Zimbardo Ira ChaleffWhen It's Smart to Say NoNearly every week we read about a tragedy or scandal that could have been prevented if individuals had said no to ill-advised or illegitimate orders. In this timely book, Ira Chaleff explores when and how to disobey inappropriate orders, reduce unacceptable risk, and find better ways to achieve legitimate goals.The inspiration for the book, and its title, comes from the concept of intelligent disobedience used in guide dog training. Guide dogs must recognize and resist a command that would put their human and themselves at risk and identify safer options for achieving the goal. This is precisely what Chaleff helps humans do. Using both deeply disturbing and uplifting examples, as well as critical but largely forgotten research, he shows how to create a culture where, rather than "just following orders," people hold themselves accountable to do the right thing, always.
Intelligent Energy Demand Forecasting
by Wei-Chiang HongAs industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management. Intelligent Energy Demand Forecasting offers approaches and methods to calculate optimal electric energy allocation to reach equilibrium of the supply and demand. Evolutionary algorithms and intelligent analytical tools to improve energy demand forecasting accuracy are explored and explained in relation to existing methods. To provide clearer picture of how these hybridized evolutionary algorithms and intelligent analytical tools are processed, Intelligent Energy Demand Forecasting emphasizes on improving the drawbacks of existing algorithms. Written for researchers, postgraduates, and lecturers, Intelligent Energy Demand Forecasting helps to develop the skills and methods to provide more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools.
Intelligent Engineering and Management for Industry 4.0
by Yong-Hong Kuo Yelin Fu Peng-Chu Chen Calvin Ka-lun Or George G. Huang Junwei WangIndustry 4.0 is changing how we manage operations to drive systems more intelligently. Technologies and applications are rapidly evolving. Disruptive technologies, such as artificial intelligence, big data, cloud computing and digital twin, are shaking up different industries and have motivated us to revisit engineering and management tools for improving system design, efficiency, effectiveness, reliability, and responsiveness. While these emerging technologies have powered new applications, novel industrial engineering methodologies are required to achieve the goals.Industrial Engineering was sprouted from major engineering disciplines that called for better professional understanding of industrialization. Ever since, the discipline of Industrial Engineering has been the star role player in confronting emerging industries; be it manufacturing, service, high tech products, outer space technology, information technology, industrial policy, ergonomics, and now the world’s greatest concern, sustainable development.This book presents the state-of-the-art in industrial engineering research from different countries and cities around the globe. The book covers a wide range of topics in industrial engineering, including: Demand Chain Management, E-business / Information Technology, Evolutionary Algorithm, Green Manufacturing/Management, Health Care Systems and more.
Intelligent Enterprise
by James Brian QuinnIn this penetrating study of how knowledge-based services and technology are revolutionizing the economy and every corporate strategy, James Brian Quinn argues that the successful companies of the 90's -- whether in manufacturing or services -- will derive their competitive edge not from ephemerally superior products but from a deep understanding of a few highly developed knowledge and service based "core competencies." Rarely will owning the largest raw materials resource, manufacturing plants, equipment bases, or integrated facilities provide a maintainable competitive edge for major companies. Such physical properties are too easily cloned or bypassed. From now on, Quinn documents, intelligent enterprises will derive sustainable advantage from knowledge and service based activities that leverage intellectual assets. They will increase value through technological sophistication, better knowledge bases, more creative customer responsiveness, and the unsurpassed management of human and intellectual capital that competitors cannot reproduce. Quinn analyzes the technological and economic forces that make such strategies essential. He shows in detail how to create and leverage knowledge and service based core competencies for maximum focus and effectiveness. Managers, Quinn asserts, must define each value-creating activity as a knowledge based service and determine whether or not they can perform that service -- be it research, design, inventory control, accounting, distribution, or advertising -- better than anyone else in the world. Using examples from companies such as Merck, Honda, Apple, Boeing, and Wal-Mart, Quinn describes how forward-looking companies can best perform needed analyses and implement strategies around selected core competencies. By eliminating or "outsourcing" less important functions to superior outside vendors, firms become more responsive, decentralized, and lean. They become the "intelligent enterprises" of the 1990s, leveraging human and capital resources much more than other firms. They may also take on radically new organizational forms, become "starburst," "inverted," "infinitely flat," or "spiders' web" configurations. By designing and benchmarking their knowledge and service based activities to be "best in world," managers can obliterate overhead costs, smash bureaucracies, motivate personnel, and create greater value for customers and shareholders alike.
The Intelligent Enterprise in the Era of Big Data
by Venkat SrinivasanAn innovative guide to the organization and function of enterprises in the technological age In the era of big data and automation, this book presents a cutting-edge approach in how enterprises should organize and function. Striking a practical balance between theory and practice, The Intelligent Enterprise in the Era of Big Data presents an enterprise architecture that embodies the power of the emerging technology environment. Beginning with an introduction to the key challenges that enterprises face, the book systematically outlines a modern enterprise architecture through a detailed discussion of the inseparable elements of such an architecture: efficiency, flexibility, and intelligence. This architecture enables rapid responses to market needs by facilitating intelligent, flexible automation of enterprise business processes and sensing important developments in internal and external environments in near real time. Illustrating all of these elements in an integrated fashion, The Intelligent Enterprise in the Era of Big Data also features: A detailed discussion on issues of time-to-market and flexibility with respect to enterprise application technology Novel analyses illustrated through extensive real-world case studies to help readers better understand the applicability of the architecture and concepts Practical approaches for designing and building intelligent enterprises An appendix that presents various approaches to text analysis with real-world business implications The Intelligent Enterprise in the Era of Big Data is an appropriate reference for business executives, information technology professionals, data scientists, and management consultants.
Intelligent Fashion Forecasting Systems: Models and Applications
by Tsan-Ming Choi Chi-Leung Hui Yong YuForecasting is a crucial function for companies in the fashion industry, but for many real-life forecasting applications in the, the data patterns are notorious for being highly volatile and it is very difficult, if not impossible, to analytically learn about the underlying patterns. As a result, many traditional methods (such as pure statistical models) will fail to make a sound prediction. Over the past decade, advances in artificial intelligence and computing technologies have provided an alternative way of generating precise and accurate forecasting results for fashion businesses. Despite being an important and timely topic, there is currently an absence of a comprehensive reference source that provides up-to-date theoretical and applied research findings on the subject of intelligent fashion forecasting systems. This three-part handbook fulfills this need and covers materials ranging from introductory studies and technical reviews, theoretical modeling research, to intelligent fashion forecasting applications and analysis. This book is suitable for academic researchers, graduate students, senior undergraduate students and practitioners who are interested in the latest research on fashion forecasting.
Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies
by Antonio Gorgulho Rui F.M.F. Neves Nuno C.G. HortaThe management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market's domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The results are promising since the approach clearly outperforms the remaining approaches during the recent market crash.
Intelligent Healthcare Systems
by Vania V. EstrelaThe book sheds light on medical cyber-physical systems while addressing image processing, microscopy, security, biomedical imaging, automation, robotics, network layers’ issues, software design, and biometrics, among other areas. Hence, solving the dimensionality conundrum caused by the necessity to balance data acquisition, image modalities, different resolutions, dissimilar picture representations, subspace decompositions, compressed sensing, and communications constraints. Lighter computational implementations can circumvent the heavy computational burden of healthcare processing applications. Soft computing, metaheuristic, and deep learning ascend as potential solutions to efficient super-resolution deployment. The amount of multi-resolution and multi-modal images has been augmenting the need for more efficient and intelligent analyses, e.g., computer-aided diagnosis via computational intelligence techniques. This book consolidates the work on artificial intelligence methods and clever design paradigms for healthcare to foster research and implementations in many domains. It will serve researchers, technology professionals, academia, and students working in the area of the latest advances and upcoming technologies employing smart systems’ design practices and computational intelligence tactics for medical usage. The book explores deep learning practices within particularly difficult computational types of health problems. It aspires to provide an assortment of novel research works that focuses on the broad challenges of designing better healthcare services.
Intelligent Human Systems Integration 2019: Proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019): Integrating People and Intelligent Systems, February 7-10, 2019, San Diego, California, USA (Advances in Intelligent Systems and Computing #903)
by Waldemar Karwowski Tareq AhramThis book presents cutting-edge research on innovative human systems integration and human–machine interaction, with an emphasis on artificial intelligence and automation, as well as computational modeling and simulation. It covers a wide range of applications in the area of design, construction and operation of products, systems and services, including lifecycle development and human–technology interaction. The book describes advanced methodologies and tools for evaluating and improving interface usability, new models, and case studies and best practices in virtual, augmented and mixed reality systems, with a special focus on dynamic environments. It also discusses various factors concerning the human user, hardware, and artificial intelligence software.Based on the proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019), held on February 7–10, 2019, in San Diego, California, USA, the book also examines the forces that are currently shaping the nature of computing and cognitive systems, such as the need to reduce hardware costs; the importance of infusing intelligence and automation; the trend toward hardware miniaturization and power reduction; the need for a better assimilation of computation in the environment; and social concerns regarding access to computers and systems for people with special needs. It offers a timely survey and a practice-oriented reference guide for policy- and decision-makers, human factors engineers, systems developers and users alike.