Artificial intelligence (AI) Books

Book SynopsisCompiles advanced research results focusing on architecture and modeling issues of multi-agent systems. This book serves as a reference for further research on system models, architectural design languages, formal methods and reasoning.

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Book SynopsisThe vast quantity of archaeological data coming from excavations is now well beyond the traditional data processing tools. Computational archaeology creates an exhaustive analysis of technical and analytical needs in the archaeological sciences.Computational Intelligence in Archaeology provides analytical theories offered by new and innovative artificial intelligence computing methods in the archaeological domain. This stimulating, must-have title is full of archaeological examples that allow academicians, researchers, and students to understand a complex but very useful data analysis technique to the field of archaeology.

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Book SynopsisThe digital era has brought about important changes that continue to affect all our lives. Efficient management and storage of digital information has become crucial, as has the ability to access that information quickly and efficiently, and priorities are to allow for the saving of digital data in many different ways, and to avoid the loss of information in the event of a malfunction. This book presents the 65 papers presented at DMI2022, the first in the new annual conference series Digitalization and Management Innovation (DMI), held as a hybrid event in Beijing, China, on 26 November 2022. A total of 190 submissions were received for the conference, and the papers presented here were selected after careful and conscientious review, bearing in mind the breadth and depth of the research topics falling within the scope of digital and management innovation and resulting in an acceptance rate of 34%. Topics covered include digital transformation, supply chains, business models, and block chain, enterprises, banking, and sustainability, as well as policy in artificial intelligence, the gig economy, the post-epidemic era, green supply, citizenship behavior, human resource management, human relationships, agriculture, and environmental matters. Presenting original ideas and results of general significance and supported by clear reasoning, and compelling evidence and methods, the book will be of interest to all those whose work involves the management of digital data.

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Book SynopsisThe healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.

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Book SynopsisPerspectives on Artificial Intelligence in Times of Turbulence: Theoretical Background to Applications offers a comprehensive exploration of the intricate relationship between artificial intelligence (AI) and the ever-changing landscape of our society. The book defines AI as machines capable of performing tasks that were once exclusive to human cognition. However, it emphasizes the current limitations of AI, dispelling the notion of sophisticated cyborgs depicted in popular culture. These machines lack self-awareness, struggle with understanding context—especially in language—and are constrained by historical data and predefined parameters. This distinction sets the stage for examining AI's impact on the job market and the evolving roles of humans and machines. Rather than portraying AI as a threat, this book highlights the symbiotic relationship between humans and machines. It recognizes that while certain jobs may become obsolete, new opportunities will emerge. The unique abilities of human beings—such as relational skills, emotional intelligence, adaptability, and understanding of differences—will continue to be indispensable in a rapidly transforming society. The book further explores key objectives and strategies for organizations navigating the AI-driven landscape. From maintaining focus on strategic goals to adapting to new productivity paradigms, from fostering effective communication to promoting feedback and continuous improvement, the chapters provide practical insights and methodologies for managing change and harnessing AI's potential. Its perspectives cover a wide range of topics such as business sustainability, change management, cybersecurity, digital economy and transformation, information systems management, management models and tools, and continuous improvement are comprehensively addressed. Additionally, the book delves into healthcare, telemedicine, Health 4.0, privacy and security, knowledge management, learning, and presents real-world case studies. Designed for researchers and professionals seeking to enhance their knowledge and research capabilities, this book offers a consistent theoretical and practical foundation. It serves as a springboard for further studies, supports change management initiatives within organizations, and facilitates knowledge sharing among experts. This book is an essential companion for colleges with master's and Ph.D. degree investigators, and researchers across a wide range of disciplines.

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Book SynopsisThis new volume explores the computational intelligence techniques necessary to carry out different software engineering tasks. Software undergoes various stages before deployment, such as requirements elicitation, software designing, software project planning, software coding, and software testing and maintenance. Every stage is bundled with a number of tasks or activities to be performed. Due to the large and complex nature of software, these tasks can become costly and error prone. This volume aims to help meet these challenges by presenting new research and practical applications in intelligent techniques in the field of software engineering. Computational Intelligence Applications for Software Engineering Problems discusses techniques and presents case studies to solve engineering challenges using machine learning, deep learning, fuzzy-logic-based computation, statistical modeling, invasive weed meta-heuristic algorithms, artificial intelligence, the DevOps model, time series forecasting models, and more.Table of Contents1. A Statistical Experimentation Approach for Software Quality Management and Defect Evaluations 2. Open Challenges in Software Measurements Using Machine Learning Techniques 3. Empirical Software Engineering and Its Challenges 4. Uncertain Multiobjective COTS Product Selection Problems for Modular Software System and Their Solutions by Genetic Algorithm 5. Fuzzy Logic Based Computational Technique for Analyzing Software Bug Repository 6. Software Measurements from Machine Learning to Deep Learning 7. Time Series Forecasting Using ARIMA Models: Systematic Literature Review of 2000s 8. Industry Maintenance Optimization Using AI 9. Comparative Study of Invasive Weed Optimization Algorithms 10. An Overview of Computational Tools 11. Enhanced Intelligence Architecture 12. Systematic Literature Review of Search-Based Software Engineering Techniques for Code Modularization/Remodularization 13. Automation of Framework Using DevOps Model to Deliver DDE Software

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Book SynopsisDo you feel frustrated and left behind as every aspect of daily life from banking and shopping to health and communication becomes increasingly dependent on technology, the internet, and artificial intelligence (AI)?SeniorITy empowers us as we age, and those hesitant to engage with new technologies, by exploring the positives of becoming knowledgable and fully connected online. Accepting technological advances can help you live a long, healthy, and more rewarding life. Learn how to: Understand why you find it difficult to engage with the digital world Overcome frustration with the technology necessary for everyday life Make decisions about the best tech options for you Protect yourself and your data online Embrace digital advances that can increase independence and improve quality of life

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Book Synopsis'A light-hearted, but engaging conversation about one of the key technologies of our age.I recommend this book to anyone interested in the broader issues around Artificial Intelligence.'Richard HartleyAustralian National University, Australia This book engages with the title question: what is artificial intelligence (AI)? Instead of reiterating received definitions or surveying the field from a disciplinary perspective, the question is engaged here by putting two standpoints into conversation. The standpoints are different in their disciplinary groundings — i.e. technology and the humanities — and also in their approaches — i.e. applied and conceptual. Peter is an AI engineer: his approach is in terms of how to make AI work. Suman is a humanities researcher: his approach is in terms of what people and academics mean when they say 'AI'.A coherent argument, if not a consensus, develops by putting the two standpoints into conversation. The conversation is presented in 32 short chapters, in turn by Suman and Peter. There are two parts: Part 1, Questioning AI, and Part 2, AI and Government Policy. The first part covers issues such as the meaning of intelligence, automation, evolution, artificial and language. It outlines some of the processes through which these concepts may be technologically grounded as AI. The second part addresses policy considerations that underpin the development of AI and responds to the consequences. Themes taken up here include: rights and responsibilities; data usage and state-level strategies in the USA, UK and China; unemployment and policy futures.

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Book SynopsisMachine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see.Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.

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Book SynopsisIndustry 5.0 is a growing field that has many potential future directions and opportunities for businesses and companies. To ensure society is prepared for this evolving technological world, further study is required on the potential challenges and pitfalls. Advanced Research and Real-World Applications of Industry 5.0 presents an overview of Industry 5.0 and related advanced research and real-world applications. The book also discusses several real-time issues, problems, and applications with corresponding solutions and suggestions. Covering critical topics such as optimization models, cybersecurity threats, and sustainability, this reference work is ideal for business owners, computer scientists, industry professionals, managers, researchers, scholars, academicians, practitioners, instructors, and students.

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Book SynopsisThe classic text on robot manipulators now covers visual control, motion planning and mobile robots too!Based on the successful Modelling and Control of Robot Manipulators by Sciavicco and Siciliano (Springer, 2000), Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. It has been expanded to include coverage of mobile robots, visual control and motion planning. A variety of problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained.The text includes coverage of fundamental topics like kinematics, and trajectory planning and related technological aspects including actuators and sensors.To impart practical skill, examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, end-of-chapter exercises are proposed, and the book is accompanied by an electronic solutions manual containing the MATLAB® code for computer problems; this is available free of charge to those adopting this volume as a textbook for courses.Trade ReviewRobotics: Modelling, Planning and Control is a book that comprehensively covers all aspects of robotic fundamentals. It is particularly an excellent text for graduate educators, as it covers the fundamentals of the field with a rigorous formalism that is well blended with the technological aspects of robotics. The text covers in detail the theory of manipulators and wheeled robots starting with kinematics, dynamics and motion control, as well interaction with the environment through perception - force and vision sensors. The book is written by technical authorities in the field, and will be in invaluable addition to graduate education as well as a useful guide for industrial practitioners. Alexander Zelinsky, CSIRO, Australia Robotics is a diverse field bringing together disparate areas from computer science, electrical engineering and mechanical engineering. This book is an integrative but rigorous treatment of all the relevant concepts, with an eye toward modern, practical applications making it an excellent choice for a first year graduate course in robotics. Vijay Kumar, University of Pennsylvania This book provides rock-solid foundations for the study of classical mechanics and control of robots, with the authoritative character of a reference where you can surely find the correct expression and the rigorous derivation of the results you need. On top of this, new chapters on motion planning, visual servoing, and mobile robot control provide support to teaching wider and more interdisciplinary aspects of robotics, and open up vistas that will certainly inspire a new generation of scholars to embrace this incredibly rich and fertile research field. Antonio Bicchi, University of Pisa, Italy This book offers a well-balanced and intellectually satisfying treatment of robot mechanics, planning, and control – from the choice and sequence of topics, to the level of detail in the analysis, and the clear connections made between the latest technologies and the theoretical foundations of robotics, this book is an essential element in the library of every aspiring young robotics researcher. Frank Chongwoo Park, Seoul National University Robotics: Modeling, Planning and Control is a historiography from the materialistic view of robotics. Authors clearly explain physical and mathematical foundation to understand the most up-to-date robotics, so faithfully to bibliography and terminology in robotics. Unquestionably, the best textbook for senior students and graduate students and the closest reference book for engineers and scientists! Yoshihiko Nakamura, University of Tokyo Exceptional! A text with such a span of robotics fundamentals and advanced research in both manipulation and mobility, and a treatment that creatively balances mathematical depth and physical intuition – a fresh and certainly unique reference for researchers and engineers in the field of robotics. Oussama Khatib, Stanford University Certainly because of its youth, robotics is not always considered as a discipline as such. It is often introduced as a technological "area" integrating various aspects of mechanics, automatic control and computer science. Such a dispersed view is prejudicial for students. The book by Siciliano et al. achieves the introduction of the basic concepts in a coherent, self-contained and didactic way. In that sense, when reading Robotics: Modelling, Planning and Control the reader – from the undergraduate student to the researcher – understands that a new discipline is born, with its own foundations. Jean-Paul Laumond, LAAS-CNRSTable of ContentsKinematics.- Differential Kinematics and Statics.- Trajectory Planning.- Actuators and Sensors.- Control Architecture.- Dynamics.- Motion Control.- Force Control.- Visual Servoing.- Mobile Robots.- Motion Planning.

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Book SynopsisThe gripping inside story of the race to build conversationally capable computersChat with the author: ask your Alexa device to ‘open the voice computing book’__________________The next great technological disruption is coming.The titans of Silicon Valley are racing to build the last, best computer that the world will ever need. Whoever successfully creates it will revolutionise our relationship with technology – and make billions of dollars in the process. It is known as conversational AI.For years, computers that can speak and think like humans have been on the verge of becoming a reality. Now, James Vlahos introduces the researchers at Google, Amazon and Apple who are leading the way to a voice tech revolution. And he reveals how their discoveries will transform every sector of society – from revolutionising how we use the internet, to transforming our understanding of consciousness.Vlahos’s research leads him to one fundamental question: What happens when our computers become as articulate, compassionate, and creative as we are?__________________‘Brilliant and essential . . . You’ll find insights and meaning on every page, and you’ll keep turning them. This book is dynamite.’ NICHOLAS THOMPSON, editor-in-chief of Wired‘Conversational AI is a genuine paradigm shift in our experience with technology. Vlahos brings the whole story to life . . . A thoughtful and enjoyable read.’ TOM GRUBER, co-creator of Siri‘The baton of disruption has been passed from the smart phone to voice, and Vlahos helps make sense of this tectonic shift.’ SCOTT GALLOWAY, author of The Four‘Voice computing is revolutionising the way we interact with our devices. Talk to Me offers a road map showing how we got to this point and the opportunities and risks that lie ahead.’ MARTIN FORD, author of The Rise of the Robots‘James Vlahos has written an excellent book on how voice computing has become more and more of a growing presence in our everyday world.’ RAY KURZWEIL, author of The Singularity Is NearTrade ReviewBrilliant and essential . . . You’ll find insights and meaning on every page, and you’ll keep turning them. This book is dynamite. -- NICHOLAS THOMPSON, editor-in-chief of WiredConversational AI is a genuine paradigm shift in our experience with technology. Vlahos brings the whole story to life . . . A thoughtful and enjoyable read. -- TOM GRUBER, co-creator of SiriThe baton of disruption has been passed from the smart phone to voice, and Vlahos helps make sense of this tectonic shift. -- SCOTT GALLOWAY, author of The FourVoice computing is revolutionising the way we interact with our devices. Talk to Me offers a road map showing how we got to this point and the opportunities and risks that lie ahead. -- MARTIN FORD, author of The Rise of the RobotsJames Vlahos has written an excellent book on how voice computing has become more and more of a growing presence in our everyday world. -- RAY KURZWEIL, author of The Singularity Is Near

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisThis book offers an introduction to artificial adaptive systems and a general model of the relationships between the data and algorithms used to analyze them. It subsequently describes artificial neural networks as a subclass of artificial adaptive systems, and reports on the backpropagation algorithm, while also identifying an important connection between supervised and unsupervised artificial neural networks. The book’s primary focus is on the auto contractive map, an unsupervised artificial neural network employing a fixed point method versus traditional energy minimization. This is a powerful tool for understanding, associating and transforming data, as demonstrated in the numerous examples presented here. A supervised version of the auto contracting map is also introduced as an outstanding method for recognizing digits and defects. In closing, the book walks the readers through the theory and examples of how the auto contracting map can be used in conjunction with another artificial neural network, the “spin-net,” as a dynamic form of auto-associative memory.Table of ContentsAn Introduction.- Artificial Neural Networks.- Auto-Contractive Maps.- Visualization of Auto-CM Output.- Dataset Transformations and Auto-CM.- Comparison of Auto-CM to Various Other Data Understanding Approaches.

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Book SynopsisThe three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and featureselection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

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Book SynopsisThis book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2019, held in Leipzig, Germany, in April 2019, co-located with the Evo*2019 events EuroGP, EvoCOP and EvoApplications. The 16 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers cover a wide range of topics and application areas, including: visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; and other creative tasks.Table of ContentsDeep Learning Concepts for Evolutionary Art.- Adversarial Evolution and Deep Learning – How Does An Artist Play with Our Visual System.- Autonomy, Authenticity, Authorship and Intention in Computer Generated Art.- Camera Obscurer: Generative Art for Design Inspiration.- Swarm-Based Identification of Animation Key Points from 2D-medialness Maps.- Paintings, Polygons and Plant Propagation.- Evolutionary Games for Audiovisual Works: Exploring the Demographic Prisoner's Dilemma.- Emojinating: Evolving Emoji Blends.- Automatically Generating Engaging Presentation Slide Decks.- Tired of choosing? Just Add Structure and Virtual Reality.- EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts.- Comparing Models for Harmony Prediction in An Interactive Audio Looper.- Stochastic Synthesizer Patch Exploration in Edisyn.- Evolutionary Multi-Objective Training Set Selection of Data Instances and Augmentations for Vocal Detection.- Automatic Jazz Melody Composition Through a Learning-Based Genetic Algorithm.- Exploring Transfer Functions in Evolved CTRNNs for Music Generation.

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Book SynopsisThis book constitutes the proceedings of the 18th International Conference on Unconventional Computation and Natural Computation, UCNC 2019, held in Tokyo, Japan, in June 2019.The 19 full papers presented were carefully reviewed and selected from 32 submissions. The papers cover topics such as hypercomputation; chaos and dynamical systems based computing; granular, fuzzy and rough computing; mechanical computing; cellular, evolutionary, molecular, neural, and quantum computing; membrane computing; amorphous computing, swarm intelligence; artificial immune systems; physics of computation; chemical computation; evolving hardware; the computational nature of self-assembly, developmental processes, bacterial communication, and brain processes.Table of ContentsInvited Paper.- Co-designing the computational model and the computing substrate.- Contributed Papers.- Generalized Membrane Systems with Dynamical Structure, Petri Nets, and Multiset Approximation Spaces.- Quantum Dual Adversary for Hidden Subgroups and Beyond.- Further Properties of Self-assembly by Hairpin Formation.- The Role of Structure and Complexity on Reservoir Computing Quality.- Lindenmayer Systems and Global Transformations.- Swarm-based multiset rewriting computing models.- DNA Origami Words and Rewriting Systems.- Computational Limitations of Affine Automata.- An Exponentially Growing Nubot System Without State Changes.- Impossibility of Sufficiently Simple Chemical Reaction Network Implementations in DNA Strand Displacement.- Quantum Algorithm for Dynamic Programming Approach for DAGs. Applications for Zhegalkin Polynomial Evaluation and Some Problems on DAGs.- Viewing rate-based neurons as biophysical conductance outputting models.- The Lyapunov Exponents of Reversible Cellular Automata Are Uncomputable.- Geometric Tiles and Powers and Limitations of Geometric Hindrance in Self-Assembly.- DNA Computing Units Based on Fractional Coding.- The role of the representational entity in physical computing.- OIM: Oscillator-based Ising Machines for Solving Combinatorial Optimisation Problems.- Relativizations of Nonuniform Quantum Finite Automata Families.- Self-stabilizing Gellular Automata.

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Book SynopsisThis book constitutes the refereed proceedings of the 31st International Conference on Advanced Information Systems Engineering, CAiSE 2019, held in Rome, Italy, in June 2019. The 41 full papers presented in this volume were carefully reviewed and selected from 206 submissions. The book also contains one invited talk in full paper length. The papers were organized in topical sections named: information system engineering; requirements and modeling; data modeling and analysis; business process modeling and engineering; information system security; and learning and mining in information systems. Abstracts on the CAiSE 2019 tutorials can be found in the back matter of the volume. Table of ContentsInvited Talk.- Direct and reverse rewriting in data interoperability.- Information System Engineering.- Efficient Engineering Data Exchange in Multi-Disciplinary Systems Engineering Enterprises.- Bing-CF-IDF+: A Semantics-Driven News Recommender System.- Methodological Framework to Guide the Development of Continual Evolution Methods.- Inter-organizational integration in the AEC/FM industry: Exploring the "addressed" and "unaddressed" information exchange needs between stakeholders.- A Lightweight Framework for Multi-Device Integration and Multi-Sensor Fusion to Explore Driver Distraction.- Exhaustive Simulation and Test Generation Using fUML Activity Diagrams.- A Block-Free Distributed Ledger for P2P Energy Trading: Case with IOTA.- Profile Reconciliation through Dynamic Activities across Social Networks.- Requirements and Modeling.- Towards an Ontology-based Approach for Eliciting Possible Solutions to Non-Functional Requirements.- Using a Modelling Language to Describe the Quality of Life Goals of People Living with Dementia.- Multi-Platform Chatbot Modeling and Deployment with the Jarvis Framework.- Information Systems Modeling: Language, Verification, and Tool Support.- Expert2Vec: Experts Representation in Community Question Answering for Question Routing.- A Pattern Language for Value Modeling in ArchiMate.- Paving Ontological Foundation for Social Engineering Analysis.- Improving Traceability Links Recovery in Process Models through an Ontological Expansion of Requirements.- Requirements Engineering for Cyber Physical Production Systems.- Data modeling and Analysis.- A Fourth Normal Form for Uncertain Data.- Revealing the Conceptual Schemas of RDF Datasets.- Modeling and In-Database Management of Relational, Data-Aware Processes.- D2IA: Stream Analytics on User-Defined Event Intervals.- Business Process Modeling and Engineering.- Extracting Declarative Process Models from Natural Language.- From Process Models to Chatbots.- Dynamic Role Binding in Blockchain-Based Collaborative Business Processes.- 3D virtual world BPM training systems: process gateway experimental results.- Deriving and Combining Mixed Graphs from Regulatory Documents Based on Constraint Relations.- A Method to Improve the Early Stages of the Robotic Process Automation Lifecycle.- Generation and Transformation of Compliant Process Collaboration Models to BPMN.- GameOfFlows: Process Instance Adaptation in Complex, Dynamic and Potentially Adversarial Domains.- Information System Security.- Security Vulnerability Information Service with Natural Language Query Support.- Automated Interpretation and Integration of Security Tools Using Semantic Knowledge.- An Assessment Model for Continuous Security Compliance in Large Scale Agile Environments.- Learning and Mining in Information Systems.- Proactive Process Adaptation using Deep Learning Ensembles.- Using Machine Learning Techniques for Evaluating the Similarity of Enterprise Architecture Models.- Efficient Discovery of Compact Maximal Behavioral Patterns from Event Logs.- Discovering Responsibilities with Dynamic Condition Response Graphs.- Fifty Shades of Green: How Informative is a Compliant Process Trace.- Solution Patterns for Machine Learning.- Managing and Simplifying Cognitive Business Operations using Process Architecture Models.- A Constraint Mining Approach to Support Monitoring Cyber-Physical Systems.- Behavior-Derived Variability Analysis: Mining Views for Comparison and Evaluation.

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Book SynopsisThis book discusses the computational geometry, topology and physics of digital images and video frame sequences. This trio of computational approaches encompasses the study of shape complexes, optical vortex nerves and proximities embedded in triangulated video frames and single images, while computational geometry focuses on the geometric structures that infuse triangulated visual scenes. The book first addresses the topology of cellular complexes to provide a basis for an introductory study of the computational topology of visual scenes, exploring the fabric, shapes and structures typically found in visual scenes. The book then examines the inherent geometry and topology of visual scenes, and the fine structure of light and light caustics of visual scenes, which bring into play catastrophe theory and the appearance of light caustic folds and cusps. Following on from this, the book introduces optical vortex nerves in triangulated digital images. In this context, computational physics is synonymous with the study of the fine structure of light choreographed in video frames. This choreography appears as a sequence of snapshots of light reflected and refracted from surface shapes, providing a solid foundation for detecting, analyzing and classifying visual scene shapes.Trade Review“The book is presented in a very accessible fashion. … The book is suitable for graduate students and researchers interested in computational geometry and computer vision. Moreover, it can be used as a professional reference.” (Krzysztof Gdawiec, zbMATH 1437.68005, 2020)Table of ContentsComputational Geometry, Topology and Physics of Visual Scenes.- Cell Complexes, Filaments, Vortexes and Shapes Within a Shape.- Shape Fingerprints, Geodesic Trails and Free Abelian Groups on Skeletal Vortexes.- What Nerve Complexes Tell Us About Image Shapes.

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Book SynopsisArtificial Intelligence (AI) will change the lives of people and businesses more fundamentally than many people can even imagine today. This book illustrates the importance of AI in an era of digitalization. It introduces the foundations of AI and explains its benefits and challenges for companies and entire industries. In this regard, AI is approached not just as yet another technology, but as a fundamental innovation, which will spread into all areas of the economy and life, and will disrupt business processes and business models in the years to come. In turn, the book assesses the potential that AI holds, and clarifies the framework that is necessary for pursuing a responsible approach to AI. In a series of best-practice cases, the book subsequently highlights a broad range of sectors and industries, from production to services; from customer service to marketing and sales; and in industries like retail, health care, energy, transportation and many more. In closing, a dedicated chapter outlines a roadmap for a specific corporate AI journey.No one can ignore intensive work with AI today - neither as a private person, let alone as a top performer in companies. This book offers a thorough, carefully crafted, and easy to understand entry into the field of AI. The central terms used in the AI ​​context are given a very good explanation. In addition, a number of cases show what AI can do today and where the journey is heading. An important book that you should not miss!Professor Dr. Harley KrohmerUniversity of Bern"Inspiring, thought provoking and comprehensive, this book is wittingly designed to be a catalyst for your individual and corporate AI journey.”Avo Schönbohm, Professor at the Berlin School of Economics and Law, Enterprise Game Designer at LUDEO and Business PunkTable of ContentsWhat is Artificial Intelligence and how to exploit it?.- Basics and drivers of Artificial Intelligence.- Fields of application of Artificial Intelligence – production area.- Fields of application of Artificial Intelligence – customer service, marketing and sales.- Fields of application of Artificial Intelligence – retail, service and maintenance sector.- Fields of application of Artificial Intelligence – health care, education and human resource management.- Fields of application of Artificial Intelligence – energy sector, smart home, mobility and transport.- Fields of application of Artificial Intelligence – financial services and creative sector.- Fields of application of Artificial Intelligence – security sector and military sector.- AI challenge – how Artificial Intelligence can be anchored in a company.- Outlook.

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Book SynopsisThe two-volume set LNCS 11751 and 11752 constitutes the refereed proceedings of the 20th International Conference on Image Analysis and Processing, ICIAP 2019, held in Trento, Italy, in September 2019. The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage.Table of ContentsVideo Analysis and Understanding.- Pattern Recognition and Machine Learning.- Deep Learning.- Multiview Geometry and 3D Computer Vision.- Image Analysis, Detection and Recognition.- Multimedia.- Biomedical and Assistive Technology.- Digital Forensics.- Image processing for Cultural Heritage.

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Book SynopsisThis book constitutes the proceedings of the 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, held in Olslo, Norway, in September 2019. The 16 revised full papers,12 short papers and 18 poster papers presented were carefully reviewed and selected from 75 submissions. The general theme of TPDL 2019 was Connecting with Communities and so the papers attempt to facilitate establishing connections and convergences between diverse research communities such as Digital Humanities, Information Sciences and others that could benefit from ecosystems offered by digital libraries and repositories. To become especially useful to the diverse research and practitioner communities digital libraries need to consider special needs and requirements for effective data utilization, management and exploitation.Table of ContentsConer: A Collaborative Approach for Long-Tail Named Entity Recognition in Scientific Publications.- An unsupervised method for concept association analysis in text collections.- Linking Semantic Fingerprints of Literature.- Learning to Rank Claim-Evidence Pairs to Assist Scientific-Based Argumentation.- The OpenAIRE Research Community Dashboard: on Blending Scientific Workows and Scientific Publishing.- A Framework for Citing Nanopublications.- Analysis of Transaction Logs from National Museums Liverpool.- Knowledge Graph Implementation of Archival Descriptions through CIDOC-CRM.- Investigating Correlations of Inter-coder Agreement and Machine Annotation Performance for Historical Video Data.- Who is Mona L.? Identifying Mentions of Artworks in Historical Archives.- Gatekeeper: Quantifying the Impacts of Service to the Scientific Community.- A Study on the Readability of Scientific Publications.- Interdisciplinary Collaborations in the Brazilian Scientific Community.- Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space.- The Memento Tracer Framework: Balancing Quality and Scalability for Web Archiving.- The immigration dilemma; Legal, ethical and practical issues in creating a living, growing archive.- Segmenting User Sessions in Search Engine Query Logs Leveraging Word Embeddings.- A Human-friendly Query Generation Frontend for a Scientific Events Knowledge Graph.- User Interface for Interactive Scientific Publications: A Design Case Study.- Stable Word-clouds for Visualising Text-changes over Time.- A Hierarchical Label Network for Multi-Label EuroVoc Classification of Legislative Contents.- Can Language Inference Support Metadata Generation?.- Information Governance Maturity Assessment using Enterprise Architecture Model Analysis and Description Logics.- Finding Documents Related to Taiwan in the Veritable Records of Qing Using Relevance Feedback.- Fake News Detection with the New German Dataset "GermanFakeNC".- The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles.- Non-parametric Subject Prediction.- Visual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction.- Towards Serendipitous Research Paper Recommender using Tweets and Diversification.- Enriching the Cultural Heritage Metadata Using Historical Events: a Graph-Based Representation.- Open Research Knowledge Graph: A System Walkthrough.- The Biodiversity Heritage Library: Unveiling a World of Knowledge About Life on Earth.- Clipping the Page { Automatic Article Detection and Marking Software in Production of Newspaper Clippings in a Digitized Historical Journalistic Collection.- Document recommendations in Slovenian academic digital libraries.- An Evaluation of the Effect of Reference Strings and Segmentation on Citation Matching.- A la Carte: Turning Historical Menu into Menu Network.- Semantic Representation of Scientific Publications.- Determining How Citations Are Used in Citation Contexts.- Dendro: a FAIR, open-source data sharing platform.- User's Behavior in Digital Libraries: Process Mining Exploration.- SciTo Trends: Visualising Scientific Topic Trends.- The-Shelf Semantic Author Name Disambiguation for Bibliographic Data Bases.- Rending Behaviour in Educational Search.- Qatar Digital Library as a Platform for Digital Repatriation of Qatar's Cultural Heritage.- Correcting and redesigning metadata for the excavation of an archaeological site.- Topic Modelling vs Distant Supervision: A Comparative Evaluation based on the Classification of Parliamentary Enquiries.

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Book SynopsisThe two-volume set of LNCS 11778 and 11779 constitutes the refereed proceedings of the 18th International Semantic Web Conference, ISWC 2019, held in Auckland, New Zealand, in October 2019. The ISWC conference is the premier international forum for the Semantic Web / Linked Data Community.The total of 74 full papers included in this volume was selected from 283 submissions. The conference is organized in three tracks: for the Research Track 42 full papers were selected from 194 submissions; the Resource Track contains 21 full papers, selected from 64 submissions; and the In-Use Track features 11 full papers which were selected from 25 submissions to this track.The chapter "The SEPSES knowledge graph: An integrated resource for cybersecurity" is open access under a CC BY 4.0 license at link.springer.com.Table of ContentsResources Track.- The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability.- VLog: A Rule Engine for Knowledge Graphs.- ArCo: the Italian Cultural Heritage Knowledge Graph.- Making Study Populations Visible through Knowledge Graphs.- LC-QuAD 2.0: A large dataset for complex question answering over Wikidata and DBpedia.- SEO: A Scientific Events Data Model.- DBpedia FlexiFusion - The Best of Wikipedia > Wikidata > Your Data.- The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data.- The RealEstateCore Ontology.- FoodKG: Semantics-Driven Knowledge Graph for Food Recommendation.- BTC-2019: The 2019 Billion Triple Challenge Dataset.- Extending the YAGO2 Knowledge Graph with Precise Geospatial Knowledge.- The SEPSES knowledge graph: An integrated resource for cybersecurity.- SemanGit: A Linked Dataset from git.- Squerall: Virtual Ontology-Based Access to Heterogeneous and Large Data Sources.- List.MID: A MIDI-Based Benchmark for Evaluating RDF Lists.- A Scalable Framework for Quality Assessment of RDF Datasets.- QaldGen: Towards Microbenchmarking of Question Answering Systems Over Knowledge Graphs.- Sparklify: A Scalable Software Component for Efficient evaluation of SPARQL queries over distributed RDF datasets.- ClaimsKG: A Knowledge Graph of Fact-Checked Claims.- CoCoOn: Cloud Computing Ontology for IaaS Price and Performance Comparison.- In-Use Track.- Semantically-enabled Optimization of Digital Marketing Campaigns.- An End-to-end Semantic Platform For Nutritional Diseases Management.- VLX-Stories: building an online Event Knowledge Base with Emerging Entity detection.- Personalized Knowledge Graphs for the Pharmaceutical Domain.- Use of OWL and Semantic Web Technologies at Pinterest.- An Assessment of Adoption and Quality of Linked Data in European Open Government Data.- Easy Web API Development with SPARQL Transformer.- Benefit graph extraction from healthcare policies.- Knowledge Graph Embedding for Ecotoxicological Effect Prediction.- Improving Editorial Workflow and Metadata Quality at Springer Nature.- A Pay-as-you-go Methodology to Design and Build Enterprise Knowledge Graphs from Relational Databases.

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Book SynopsisThis book constitutes the proceedings of the 22nd International Conference on Discovery Science, DS 2019, held in Split, Coratia, in October 2019. The 21 full and 19 short papers presented together with 3 abstracts of invited talks in this volume were carefully reviewed and selected from 63 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Advanced Machine Learning; Applications; Data and Knowledge Representation; Feature Importance; Interpretable Machine Learning; Networks; Pattern Discovery; and Time Series.Table of ContentsAdvanced Machine Learning.- Applications.- Data and Knowledge Representation.- Feature Importance.- Interpretable Machine Learning.- Networks.- Pattern Discovery.- Time Series.

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Book SynopsisThis book addresses the automatic sizing and layout of analog integrated circuits (ICs) using deep learning (DL) and artificial neural networks (ANN). It explores an innovative approach to automatic circuit sizing where ANNs learn patterns from previously optimized design solutions. In opposition to classical optimization-based sizing strategies, where computational intelligence techniques are used to iterate over the map from devices’ sizes to circuits’ performances provided by design equations or circuit simulations, ANNs are shown to be capable of solving analog IC sizing as a direct map from specifications to the devices’ sizes. Two separate ANN architectures are proposed: a Regression-only model and a Classification and Regression model. The goal of the Regression-only model is to learn design patterns from the studied circuits, using circuit’s performances as input features and devices’ sizes as target outputs. This model can size a circuit given its specifications for a single topology. The Classification and Regression model has the same capabilities of the previous model, but it can also select the most appropriate circuit topology and its respective sizing given the target specification. The proposed methodology was implemented and tested on two analog circuit topologies. Table of ContentsIntroduction.- Related Work.- Overview of Artificial Neural Networks (ANNs).- On the Exploration of Promising Analog IC Designs via ANNs.- ANNs as an Alternative for Automatic Analog IC Placement.- Conclusions.

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Book SynopsisThe two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

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Book SynopsisThis book constitutes the proceedings of the 16th International Conference on Distributed Computing and Internet Technology, ICDCIT 2020, held in Bhubaneswar, India, in January 2020. The 20 full and 3 short papers presented in this volume were carefully reviewed and selected from 110 submissions. In addition, the book included 6 invited papers. The contributions were organized in topical sections named: invited talks; concurrent and distributed systems modelling and verification; cloud and grid computing; social networks, machine learning and mobile networks; data processing and blockchain technology; and short papers. Table of ContentsInvited Talks.- Graph Analytics.- A distributed and trusted web of formal proofs.- Prosperos Books: A Distributed Architecture for AI.- Trust: Anthropomorphic Algorithmic.- A Very Gentle Introduction to Multiparty Session Types.- Constructing Knowledge Graph from Data Catalogues.- Concurrent and Distributed Systems Modelling and Verification.- Round-Message Trade-off in Distributed Steiner Tree Construction in the CON GEST model.- An Efficient Message Transmission and Verification Scheme for VANETs.- Generalised Dining Philosophers as Feedback Control.- Verifying Implicitly Quantified Modal Logic over dynamic networks of processes.- Cloud and Grid Computing.- Secure Content-based Image Retrieval using Combined Features in Cloud.- Design of a Scheduling Approach for Budget-deadline Constrained Applications in Heterogeneous Clouds.- Resource Scheduling for Tasks of a Workflow in Cloud Environment.- Bearing Fault Classification using Wavelet Energy and Autoencoder.- Social Networks, Machine Learning and Mobile Networks.- Community Detection in Social Networks using Deep Learning.- Multi-Winner Heterogeneous Spectrum Auction Mechanism for Channel Allocation in Cognitive Radio Networks.- A Hybrid Approach for Fake News Detection in Twitter based on User Features and Graph Embedding.- Online Context-Adaptive Energy-Aware Security Allocation in Mobile Devices: A Tale of Two Algorithms.- A Framework Towards Generalized Mid-term Energy Forecasting Model for Industrial Sector in Smart Grid.- An Online Low-Cost System for Air Quality Monitoring, Prediction, and Warning.-Word2vecs Distributed Word Representation for Hindi Word Sense Disambiguation.- Text Document Clustering using Community Discovery Approach.- Data Processing and Blockchain Technology.- An Efficient and Novel Buyer and Sellers Distributed Ledger Based Protocol Using Smart Contracts.- Distributed and Lazy Auditing of Outsourced Data HealthChain: A Secure Scalable Health Care Data Management System Using Blockchain.- HealthChain: A Secure Scalable Health Care Data Management System Using Blockchain.- Transcript Management Using Blockchain enabled Smart Contracts.- Short Papers.- Identifying Reduced Features based on IG-Threshold for DoS Attack Detection using PART.- Uniform Circle Formation by Swarm Robots Under Limited Visibility.- Histopathological Image Classification by Optimized Neural Network using IGSA.

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Book SynopsisThis book constitutes the thoroughly refereed proceedings of the 16th Italian Research Conference on Digital Libraries, IRCDL 2020, held in Bari, Italy, in January 2020.The 12 full papers and 6 short papers presented were carefully selected from 26 submissions. The papers are organized in topical sections on information retrieval, bid data and data science in DL; cultural heritage; open science. Table of ContentsInformation Retrieval.- Bid Data and Data Science in DL.- Cultural Heritage.- Open Science.

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Book SynopsisThis concise book provides a survival toolkit for efficient, large-scale software development. Discussing a multi-contextual research framework that aims to harness human-related factors in order to improve flexibility, it includes a carefully selected blend of models, methods, practices, and case studies. To investigate mission-critical communication aspects in system engineering, it also examines diverse, i.e. cross-cultural and multinational, environments. This book helps students better organize their knowledge bases, and presents conceptual frameworks, handy practices and case-based examples of agile development in diverse environments. Together with the authors’ previous books, "Crisis Management for Software Development and Knowledge Transfer" (2016) and "Managing Software Crisis: A Smart Way to Enterprise Agility" (2018), it constitutes a comprehensive reference resource adds value to this book.Table of ContentsFrom Adhoc to Agility: a General Framework.- Socio-cultural Aspects of Agility.- Agile Knowledge Management.- Agility at Scale.- Mastering Agility.- Developing and Fostering Smart Ecosystems.

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Book SynopsisThis book presents work on healthcare management and engineering using optimization and simulation methods and techniques. Specific topics covered in the contributed chapters include discrete-event simulation, patient admission scheduling, simulation-based emergency department control systems, patient transportation, cost function networks, hospital bed management, and operating theater scheduling. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.Table of ContentsA Two-Dimensional Categorization Scheme for Simulation-/Optimization-Based Decision Support in Hospitals Applied to Overall Bed Management in Interdependent Wards Under Flexibility.- Heuristics Based on the Hungarian Method for the Patient Admission Scheduling Problem.- A Bi-objective Algorithm for Robust Operating Theatre Scheduling.- Cost Function Networks to Solve Large Computational Protein Design Problems.- Modeling and Simulation in a Dialysis Center of the Hedi Chaker Hospital- Toward a Proactive and Reactive Simulation-Based Emergency Department Control System to Cope with Strain Situations.- A Decentralized Approach to the Home Healthcare Problem.- Wounded Transportation and Assignment to Hospital During Crises.- Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis.- The Effect of Risks on Discrete Event Simulation in Healthcare Systems.

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Book SynopsisThis book presents recent work that analyzes general issues of green logistics and smart cities. The contributed chapters consider operating models with important ecological, economic, and social objectives.The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.Table of ContentsThe Green-Vehicle Routing Problem: A Survey.- An Integrated Location-Inventory Routing Problem for ATMs in Banking Industry: A Green Approach.- Modelling a Future Routing Concept for Urban Air Mobility.- Putting the SC in SCORE: Solar Car Optimized Route Estimation and Smart Cities.- Evaluation and Prioritisation of Green Logistics and Transportation Practices Used in the Freight Transport Industry.- A Novel Hybrid Multi-objective Optimization Approach for Sustainable Delivery Systems with A Case Study in Izmir.- When Green Technology Meets Optimization Modelling: The Case of Routing Drones in Logistics, Agriculture and Healthcare.- Routing Electric Vehicles with Remote Servicing.

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Book SynopsisIn this book the author's theoretical framework builds on linguistic and psychological research, arguing that similar image-schematic notions should be grouped together into interconnected family hierarchies, with complexity increasing with regard to the addition of spatial and conceptual primitives. She introduces an image schema logic as a language to model image schemas, and she shows how the semantic content of image schemas can be used to improve computational concept invention. The book will be of value to researchers in artificial intelligence, cognitive science, psychology, and creativity.Table of ContentsCreating Concepts: Considerations from Psychology and Artificial Intelligence.- Image Schemas: Spatiotemporal Relationships Used as Conceptual Building Blocks.- Formal Structure: Image Schemas as Families of Theories.- Introducing ISLFOL: A Logical Language for Image Schemas.- Modelling Conceptualisations: Combining Image Schemas to Model Event Conceptualisations.- Generating Concepts: How Image Schemas Can Help Guide Computational.- Conceptual Blending.- Defining Concepts: Experiment on the Role of Image Schemas in Object Conceptualisation.- Identifying Image Schemas: Experiment Towards Automatic Image Schema Extraction.- Discussion and Conclusions.

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