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This book employs cutting-edge digital and spatial methodologies to tackle the critical issue of religious site scarcity across China for five major religions: Protestantism, Catholicism, Buddhism, Daoism, and Islam, spanning the period from 1911 to 2004.Drawing from Chinese government datasets and Geographic Information Systems (GIS), this comprehensive work presents official information concerning religious sites and pinpoints specific cities facing shortages in such sites. The book also offers an in-depth analysis of religious sites, delving into their statistical, historical, comparative, and religious contexts and evolving significance within China, shedding light on the unique challenges and opportunities each religion faces.This groundbreaking book uncovers spatial patterns and relationships, providing new insights into the distribution of religious sites and the evolution of Chinese religious practices since 1911. It will be an invaluable resource for students and scholars of modern China, religious studies, and digital and spatial humanities.

Unlock Java's full potential for cloud computing through expert insights from real-world case studies and stay ahead with the latest trends in agile and robust Java application developmentKey FeaturesMaster concurrency and parallelism to overcome cloud computing challenges in JavaBuild scalable solutions with Big Data, ML, microservices, and serverless architecturesExplore cloud scaling, GPU utilization, and future tech innovations in Java applicationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIf you're a software developer, architect, or systems engineer, exploring Java's concurrency utilities and synchronization in the cloud, this book is an essential resource. Tech visionary Jay Wang, with over three decades of experience transforming industry giants, brings unparalleled expertise to guide you through Java's concurrency and parallel processing in cloud computing. This comprehensive book starts by establishing the foundational concepts of concurrency and parallelism, vital for cloud-native development, and gives you a complete overview, highlighting challenges and best practices. Wang expertly demonstrates Java's role in big data, machine learning, microservices, and serverless computing, shedding light on how Java's tools are effectively utilized in these domains. Complete with practical examples and insights, this book bridges theory with real-world applications, ensuring a holistic understanding of Java in cloud-based scenarios. You'll navigate advanced topics, such as synchronizing Java's concurrency with cloud auto-scaling and GPU computing, and be equipped with the skills and foresight to tackle upcoming trends in cloud technology. This book serves as your roadmap to innovation and excellence in Java cloud applications, giving you in-depth knowledge and hands-on practice for mastering Java in the cloud era. What you will learnUnderstand Java concurrency in cloud app developmentGet to grips with the core concepts of serverless computing in JavaBoost cloud scaling and performance using Java skillsImplement Java GPU acceleration for advanced computing tasksGain insights into Java's role in the evolving cloud and AI technologyAccess hands-on exercises for real-world Java applicationsExplore diverse Java case studies in tech and fintechImplement Java in AI-driven cloud and data workflowsAnalyze Java's application in IoT and real-time analyticsWho this book is forThis book is for Java developers, software engineers, and cloud architects with intermediate Java knowledge. It's ideal for professionals transitioning to cloud-native development or seeking to enhance their concurrent programming skills. DevOps engineers and tech leads involved in cloud migration will also find valuable insights. Basic Java proficiency, familiarity with cloud concepts, and some experience with distributed systems is expected.

This book presents the proceedings of the 6th IFToMM Symposium on Mechanism Design for Robotics (MEDER), held in Timişoara, Romania, 27–29 June 2024. It gathers contributions by researchers from several countries on all major areas of robotic research, development and innovation, as well as new applications and current trends. The topics covered include: theoretical and computational kinematics, mechanism design, experimental mechanics, mechanics of robots, control issues of mechanical systems, machine intelligence, innovative mechanisms and applications, linkages and manipulators, micro-mechanisms, dynamics of machinery and multi-body systems. Given its scope, the book offers a source of information and inspiration for researchers seeking to improve their work and gather new ideas for future developments.

Comprehensive guide to the principles, algorithms, and techniques underlying resource management for clouds, big data, and sensor-based systems Resource Management on Distributed Systems provides helpful guidance by describing algorithms and techniques for managing resources on parallel and distributed systems, including grids, clouds, and parallel processing-based platforms for big data analytics. The book focuses on four general principles of resource management and their impact on system performance, energy usage, and cost, including end-of-chapter exercises. The text includes chapters on sensors, autoscaling on clouds, complex event processing for streaming data, and data filtering techniques for big data systems. The book also covers results of applying the discussed techniques on simulated as well as real systems (including clouds and big data processing platforms), and techniques for handling errors associated with user predicted task execution times. Written by a highly qualified academic with significant research experience in the field, Resource Management on Distributed Systems includes information on sample topics such as: Attributes of parallel/distributed applications that have an intimate relationship with system behavior and performance, plus their related performance metrics.Handling a lack of a prior knowledge of local operating systems on individual nodes in a large system.Detection and management of complex events (that correspond to the occurrence of multiple raw events) on a platform for streaming analytics.Techniques for reducing data latency for multiple operator-based queries in an environment processing large textual documents. With comprehensive coverage of core topics in the field, Resource Management on Distributed Systems is a comprehensive guide to resource management in a single publication and is an essential read for professionals, researchers and students working with distributed systems.

The most common form of severe dementia, Alzheimer's disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN's meticulous approach to Alzheimer's diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer's disease in its early stages using a big collection of pictures of facial expressions.

Adaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time-varying and unknown statistics environments. This application evolved communications, signal processing, seismology, mechanical design, and control engineering. The most popular optimization criterion in adaptive filtering is the well-known minimum mean square error (MMSE) criterion, which is, however, only optimal when the signals involved are Gaussian-distributed. Therefore, many'optimal solutions'under MMSE are not optimal. As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance in many applications of adaptive filtering. This book aims to provide a comprehensive introduction of the MMPE and related adaptive filtering algorithms, which will become an important reference for researchers and practitioners in this application area. The book is geared to senior undergraduates with a basic understanding of linear algebra and statistics, graduate students, or practitioners with experience in adaptive signal processing.Key Features: Provides a systematic description of the MMPE criterion. Many adaptive filtering algorithms under MMPE, including linear and nonlinear filters, will be introduced. Extensive illustrative examples are included to demonstrate the results.

This book is your guide to mastering Rust programming, equipping you with essential skills and insights for efficient system programming. It starts by introducing Rust's significance in the system programming domain and highlighting its advantages over traditional languages like C/C++. You'll then embark on a practical journey, setting up Rust on various platforms and configuring the development environment. From writing your first'Hello, World!'program to harness the power of Rust's package manager, Cargo, the book ensures a smooth initiation into the language. Delving deeper, the book covers foundational concepts, including variables, data types, control flow, functions, closures, and crucial memory management aspects like ownership, borrowing, and lifetimes. Special attention is given to Rust's strict memory safety guarantees, guiding you in writing secure code with the assistance of the borrow checker.

In today's data-driven world, mastering data engineering is crucial for driving innovation and delivering real business impact. Databricks is one of the most powerful platforms which unifies data, analytics and AI requirements of numerous organizations worldwide. Mastering Data Engineering and Analytics with Databricks goes beyond the basics, offering a hands-on, practical approach tailored for professionals eager to excel in the evolving landscape of data engineering and analytics. This book uniquely blends foundational knowledge with advanced applications, equipping readers with the expertise to build, optimize, and scale data pipelines that meet real-world business needs. With a focus on actionable learning, it delves into complex workflows, including real-time data processing, advanced optimization with Delta Lake, and seamless ML integration with MLflow—skills critical for today's data professionals. Drawing from real-world case studies in FMCG and CPG industries, this book not only teaches you how to implement Databricks solutions but also provides strategic insights into tackling industry-specific challenges. From setting up your environment to deploying CI/CD pipelines, you'll gain a competitive edge by mastering techniques that are directly applicable to your organization's data strategy. By the end, you'll not just understand Databricks—you'll command it, positioning yourself as a leader in the data engineering space.

This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.

This book gathers selected papers from 2023 International Conference on Mechanical Design (2023 ICMD), held in Chengdu, China. The main objectives are to bring the community of researchers in the fields of mechanical design together, to exchange and discuss the most recent investigations, challenging problems and new trends, and to encourage the wider implementation of the advanced design technologies and tools in the world, particularly throughout China. The theme of 2023 ICMD is “Innovative Design Drives High-Quality Development”, and the event devotes to providing an excellent forum for the scholars all around the world to share their innovative ideas, cutting-edge research results.

Modelling the City focuses on European towns and cities, analysing the opportunities and limitations of modelling of urban space.This book examines how urban space from the past is discovered, explained and presented. It discusses the multitude of historical sources mediating the past urban space, and the structural, technical, and epistemological issues raised around building a domain ontology, including continuity, and change within urban forms and functions.Presentation of a formal domain ontology in spatial humanities makes this book unique and worth reading. It is strongly recommended to readers interested in the linked open data approach to research, data standards in Digital Humanities, urban planning, and old maps.

This book offers a comprehensive overview of the latest developments in unmanned aerial systems (UAS) technology and their potential applications. It covers a broad spectrum of topics related to UAS, such as Autonomy and Control, Flight Dynamic and Control, Communication and Navigation, Sensing and Perception, Design and Simulation, and Materials and Mechanics. The book is targeted toward a technical audience, including researchers, engineers, and practitioners working in the field of unmanned aerial systems. It provides an in-depth and detailed treatment of the subject matter, offering thorough discussions of the underlying principles and technical details of UAS technology.

This book constitutes the refereed proceedings of the Third Southwest Data Science Conference, on Recent advances in next-generation data science, SDSC 2024, held in Waco, TX, USA, in March 22, 2024. The 15 full papers presented were carefully reviewed and selected from 59 submissions. These papers focus on AI security in next-generation data science and address a range of challenges, from protecting sensitive data to mitigating adversarial threats.

Geographical information systems (GIS) are powerful tools for reporting on the environment, natural resources and social and economic development; modelling the environmental, biophysical, social and economic processes; assessing environmental and social impacts; evaluating environmental, social and economic policies and actions and dissimilating spatial information. Geographical Information Systems: A Practical Approach provides the fullest available introduction to GIS and their environmental, social and economic applications. This new edition has been substantially revised and updated to incorporate the key developments in GIS technology and spatial data science and their applications that have taken place in recent years.The key features include: A comprehensive coverage of concepts, methods, techniques and tools in GIS for spatial data capturing, processing, visualisation, analysis, modelling and decision-making Incorporation of advanced machine learning techniques for spatial data analysis and modelling Extended coverage of spatial visualisation with 3D mapping and online mapping Weaving together of GIS theory and practice to help readers learn important GIS concepts and methods and develop their understanding through practicals with ArcGIS Pro or QGIS New and updated case studies illustrating the innovative use of GIS for a wide range of applications The second edition of this text continues to bring up-to-date GIS knowledge, tools and practices into one cohesive, comprehensive, concise and self-contained book which is accessible to students, scientists and practitioners in environmental science, earth science, geography, archaeology and other scientific studies that have a spatial dimension.

Geographic information science (GISc) and systems (GIS) have grown rapidly in recent decades, increasingly on a separate track from geographic thought. As geography's'big ideas'--such as space, place, boundaries, scale, process, and relationality--have evolved, what does this mean for their computational representation? This book considers how key concepts have developed in geography and are represented (or not) in GISc, with a view to bridging gaps between the two. David O'Sullivan shows how revisiting the theoretical underpinnings of geography offers insights on enduring GIS challenges--including map projections, the modifiable areal unit problem, scale and map generalization, and the nature of space and place--while also enriching geographic thought. The book uses examples from across geography's subdisciplines to promote understanding. Chapters are self-contained essays that can easily form the basis of classroom discussions. The companion website provides the figures, code to produce versions of selected figures, updated web links, and other resources.

Expert guidance and amazing examples from Kotlin core developers! It's everything you need to get up and running fast.Kotlin in Action, Second Edition takes you from language basics to building production-quality applications that take advantage of Kotlin's unique features. Discover how the language handles everything from statements and functions to classes and types, and the unique features that make Kotlin programming so seamless. In Kotlin in Action, Second Edition you will learn: Kotlin statements and functions, and classes and types Functional programming on the JVM The Kotlin standard library and out-of-the-box features Writing clean and idiomatic code Combining Kotlin and Java Improve code reliability with null safety Domain-specific languages Kotlin coroutines and flows Mastering the kotlinx.coroutines library Kotlin in Action, Second Edition is a complete guide to the Kotlin language written especially for readers familiar with Java or another OO language. Its authors—all core Kotlin language developers and Kotlin team members—share their unique insights, along with practical techniques and hands-on examples. This new second edition is fully updated to include the latest innovations, and it adds new chapters dedicated to coroutines, flows, and concurrency. About the technology Kotlin is a low-hassle, high-productivity programming language flexible enough to handle any web, mobile, cloud, and enterprise application. Java developers will appreciate the simple syntax, intuitive type system, excellent tooling, and support for functional-style programming. Plus, since Kotlin runs on the JVM, it integrates seamlessly with existing Java code, libraries, and frameworks, including Spring and Android. About the book Kotlin in Action, Second Edition teaches you Kotlin techniques you can use for almost any type of application, from enterprise services to Android apps. The authors are all members of the Kotlin team, so you can trust that even the gnarly details are dead accurate. You'll start with Kotlin fundamentals, learning how the language handles everything from statements and functions to classes and types, and about its unique features that make Kotlin programming so seamless. As you progress through this masterful book, you'll get hands-on with the Kotlin standard library, functional programming in Kotlin, and advanced features such as generics and reflection. And this updated second edition now covers coroutines and structured concurrency to help you create efficient high-performance applications. What's inside Guidance from members of the Kotlin team Domain-specific languages Kotlin coroutines and flows About the reader For readers familiar with Java or another OO language. About the author Sebastian Aigner is a Developer Advocate at JetBrains, and host of the Talking Kotlin podcast. Roman Elizarov was the lead designer of the Kotlin language. JetBrains Developer Advocate, Svetlana Isakova, was a member of the Kotlin compiler team. Dmitry Jemerov is one of Kotlin's initial developers.

Differential geometry is a subject related to many fields in mathematics and the sciences. The authors of this book provide a vertically integrated introduction to differential geometry and geometric analysis. The material is presented in three distinct parts: an introduction to geometry via submanifolds of Euclidean space, a first course in Riemannian geometry, and a graduate special topics course in geometric analysis, and it contains more than enough content to serve as a good textbook for a course in any of these three topics. The reader will learn about the classical theory of submanifolds, smooth manifolds, Riemannian comparison geometry, bundles, connections, and curvature, the Chern–Gauss–Bonnet formula, harmonic functions, eigenfunctions, and eigenvalues on Riemannian manifolds, minimal surfaces, the curve shortening flow, and the Ricci flow on surfaces. This will provide a pathway to further topics in geometric analysis such as Ricci flow, used by Hamilton and Perelman to solve the Poincaré and Thurston geometrization conjectures, mean curvature flow, and minimal submanifolds. The book is primarily aimed at graduate students in geometric analysis, but it will also be of interest to postdoctoral researchers and established mathematicians looking for a refresher or deeper exploration of the topic.

Seize your place in a new era in commerce and industry In Strategy in The Age of Disruption, a team of dedicated strategists delivers an exciting and practical guide to Industry 4.0, a commercial transformation that's impacting every facet of the market, the environment, and our social lives. You'll learn what Industry 4.0 is, what it means for you and your company, and how you—as a leader, manager, expert, entrepreneur, or investor—can capitalize on it and put it into practice. This is a complete handbook on strategic execution. It's a step-by-step tutorial designed to get you to clearly see your strategic position, the choices available to you, and how to execute on those choices. You'll also find: Ways to move beyond outdated business models that no longer serve the companies that follow them Common myths about strategy and how to put them to bed for good Deep and insightful explanations of the fourth industrial revolution and what it means for your sector and companyHighly visual and endlessly engaging, Strategy in The Age of Disruption will systematically guide you through how to manage the challenges of the present and the promise of the future.

This book constitutes the refereed proceedings of the 8th International Conference on Advances in Computing and Data Sciences, ICACDS 2024, held in Velizy, France, during May 9–10, 2024. The 28 full papers present here, were carefully reviewed and selected from 174 submissions. The papers focus on innovative research in the field of Advanced Computing and Data Sciences, including areas such as artificial intelligence, machine learning, big data analytics, cloud computing, computer vision and natural language processing.

Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research setting—especially for recent ML graduates and those moving from research to a commercial environment. Whether you currently work to create products and services that use ML, or would like to in the future, this practical book gives you a broad view of the entire field.Authors Robert Crowe, Hannes Hapke, Emily Caveness, and Di Zhu help you identify topics that you can dive into deeper, along with reference materials and tutorials that teach you the details. You'll learn the state of the art of machine learning engineering, including a wide range of topics such as modeling, deployment, and MLOps. You'll learn the basics and advanced aspects to understand the production ML lifecycle.This book provides four in-depth sections that cover all aspects of machine learning engineering:Data: collecting, labeling, validating, automation, and data preprocessing; data feature engineering and selection; data journey and storageModeling: high performance modeling; model resource management techniques; model analysis and interoperability; neural architecture searchDeployment: model serving patterns and infrastructure for ML models and LLMs; management and delivery; monitoring and loggingProductionalizing: ML pipelines; classifying unstructured texts and images; genAI model pipelines

This textbook offers a comprehensive introduction to the concepts underpinning our modern understanding of complex and emergent behavior. Mathematical methods necessary for the discussion are introduced and explained on the run. All derivations are presented step-by-step. This new fifth edition has been fully revised and includes a new chapter, a range of new sections, figures and exercises. The Solution chapter has been reorganized for clarity.The core aspects of modern complex system sciences are presented in the first chapters, covering the foundations of network- and dynamical system theory, with a particular focus on scale-free networks and tipping phenomena. The notion of deterministic chaos is treated together with bifurcation theory and the intricacies of time delays. Modern information theoretical principles are discussed in further chapters, together with the notion of self-organized criticality, synchronization phenomena, and a game-theoretical treatment of the tragedy of the commons. The dynamical systems view of modern machine learning is presented in a new chapter.Chapters include exercises and suggestions for further reading. The textbook is suitable for graduate and advanced undergraduate students. The prerequisites are the basic mathematical tools of courses in natural sciences, computer science or engineering.

Expert, guidance for the Google Cloud Machine Learning certification exam In Google Cloud Certified Professional Machine Learning Study Guide, a team of accomplished artificial intelligence (AI) and machine learning (ML) specialists delivers an expert roadmap to AI and ML on the Google Cloud Platform based on new exam curriculum. With Sybex, you'll prepare faster and smarter for the Google Cloud Certified Professional Machine Learning Engineer exam and get ready to hit the ground running on your first day at your new job as an ML engineer. The book walks readers through the machine learning process from start to finish, starting with data, feature engineering, model training, and deployment on Google Cloud. It also discusses best practices on when to pick a custom model vs AutoML or pretrained models with Vertex AI platform. All technologies such as Tensorflow, Kubeflow, and Vertex AI are presented by way of real-world scenarios to help you apply the theory to practical examples and show you how IT professionals design, build, and operate secure ML cloud environments. The book also shows you how to: Frame ML problems and architect ML solutions from scratch Banish test anxiety by verifying and checking your progress with built-in self-assessments and other practical tools Use the Sybex online practice environment, complete with practice questions and explanations, a glossary, objective maps, and flash cardsA can't-miss resource for everyone preparing for the Google Cloud Certified Professional Machine Learning certification exam, or for a new career in ML powered by the Google Cloud Platform, this Sybex Study Guide has everything you need to take the next step in your career.

This volume LNCS 14361 and 14362 constitutes the refereed proceedings of the, 16th International Symposium, ISVC 2023, in October 2023, held at Lake Tahoe, NV, USA.The 42 full papers and 13 poster papers were carefully reviewed and selected from 120 submissions. A total of 25 papers were also accepted for oral presentation in special tracks from 34 submissions. The following topical sections followed as:Part 1: ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management; Visualization; Video Analysis and Event Recognition; ST: Innovations in Computer Vision & Machine Learning for Critical & Civil Infrastructures; ST: Generalization in Visual Machine Learning; Computer Graphics; Medical Image Analysis; Biometrics; Autonomous Anomaly Detection in Images; ST: Artificial Intelligence in Aerial and Orbital Imagery; ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture.Part 2: Virtual Reality; Segmentation; Applications; Object Detection and Recognition; Deep Learning; Poster.

'By the end of this book, you will have the knowledge and abilities necessary to construct and implement a distributed data processing pipeline for machine learning model inference and training. Reduced time costs in machine learning result in shorter model training and model updating cycle wait times. Distributed machine learning enables ML professionals to reduce model training and inference time drastically. With the aid of this helpful manual, you'll be able to use your Python development experience and quickly get started with the creation of distributed ML, including multi-node ML systems'--

This proceedings constitutes the refereed proceedings of the 17th International Conference on Communications and Networking, ChinaCom 2022, held in November 19-20, 2022. Due to COVID-19 pandemic the conference was held virtually. The 31 full papers presented were carefully selected from 83 submissions. The papers are organized in topical sections on Signal Processing and Communication Optimization; Scheduling and Transmission Optimization; Network Communication Performance Enhancement; Deep Learning Applications and Optimization; Deep Learning and Network Performance Optimization; Edge Computing and Artificial Intelligence Applications.

Leverage core functional programming (FP) concepts to write more maintainable and testable code in GoPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn functional programming techniques at the architectural level and use them to solve real-world problemsUnderstand how to think about code functionallyLearn about the trade-offs of functional programming and object-oriented programming (OOP) in GoBook DescriptionWhile Go is a multi-paradigm language that gives you the option to choose whichever paradigm works best for the particular problem you aim to solve, it supports features that enable you to apply functional principles in your code. In this book, you'll learn about concepts central to the functional programming paradigm and how and when to apply functional programming techniques in Go.Starting with the basic concepts of functional programming, this Golang book will help you develop a deeper understanding of first-class functions. In the subsequent chapters, you'll gain a more comprehensive view of the techniques and methods used in functional languages, such as function currying, partial application, and higher-order functions. You'll then be able to apply functional design patterns for solving common programming challenges and explore how to apply concurrency mechanisms to functional programming.By the end of this book, you'll be ready to improve your code bases by applying functional programming techniques in Go to write cleaner, safer, and bug-free code.What you will learnGain a deeper understanding of functional programming through practical examplesBuild a solid foundation in core FP concepts and see how they apply to Go codeDiscover how FP can improve the testability of your code baseApply functional design patterns for problem solvingUnderstand when to choose and not choose FP conceptsDiscover the benefits of functional programming when dealing with concurrent codeWho this book is forIf you are a Go engineer with a background in traditionally object-oriented languages such as Java or C++ and want to broaden your knowledge of functional programming, this book is for you.

This book presents proceedings of the 14th Days of Bosnian-Herzegovinian American Academy of Arts and Sciences held in Tuzla, BIH, June 1–4, 2023. Delve into the intellectual tapestry that emerged from this event, as we unveil our highly anticipated Conference Proceedings Book. This groundbreaking publication captures the essence of seven captivating technical sessions spanning from Civil Engineering through Power Electronics all the way to Data Sciences and Artificial Intelligence, each exploring a distinct realm of innovation and discovery. Uniting diverse disciplines, this publication catalyzes interdisciplinary collaboration, forging connections that transcend traditional boundaries. Within these pages, readers find a compendium of knowledge, insights, and research findings from leading researchers in their respective fields. The editors would like to extend special gratitude to the chairs of all symposia for their dedicated work in the production of this volume.

This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since the last edition, this field has continued to evolve and to gain popularity. Existing methods are constantly being improved and new methods, applications and aspects are introduced. The new title of this handbook and its content reflect these changes thoroughly. Some existing chapters have been brought up to date. In addition to major revision of the existing chapters, the new edition includes totally new topics, such as: deep learning, explainable AI, human factors and social issues and advanced methods for big-data. The significant enhancement to the content reflects the growth in importance of data science. The third edition is also a timely opportunity to incorporate many other changes based on peers and students'feedback.This comprehensive handbook also presents a coherent and unified repository of data science major concepts, theories, methods, trends, challenges and applications. It covers all the crucial important machine learning methods used in data science.Today's accessibility and abundance of data make data science matters of considerable importance and necessity. Given the field's recent growth, it's not surprising that researchers and practitioners now have a wide range of methods and tools at their disposal. While statistics is fundamental for data science, methods originated from artificial intelligence, particularly machine learning, are also playing a significant role.This handbook aims to serve as the main reference for researchers in the fields of information technology, e-Commerce, information retrieval, data science, machine learning, data mining, databases and statistics as well as advanced level students studying computer science or electrical engineering. Practitioners working within these related fields and data scientists will also want to purchase this handbook as a reference.

Although it offers an appropriately complex treatment of the American past, Boyer/Clark/Halttunen/Kett/Salisbury/Sitkoff/Woloch/Rieser's THE ENDURING VISION: A HISTORY OF THE AMERICAN PEOPLE, 10th EDITION, requires no prerequisite knowledge from students. The approach is not only comprehensive, but readable, lively and illuminating. It is attentive to the lived historical experiences of women, African Americans, Hispanic Americans, Asian Americans and Native Americans -- that is, of men and women of all ethnic groups, regions and social classes who make up the American mosaic. This text seeks to encourage students'spatial thinking about historical developments by offering a map program rich in information, easy to read and visually appealing. Visual culture -- paintings, photographs, cartoons and other illustrations -- is investigated throughout all chapters in the volume.

The eight-volume set LNCS 14438 until 14445 constitutes the proceedings of the 29th International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2023, held in Guangzhou, China, during December 4-8, 2023.The total of 106 full papers presented in these proceedings was carefully reviewed and selected from 375 submissions. The papers were organized in topical sections as follows: Part I: Secure Multi-party computation; threshold cryptography;. Part II: proof systems - succinctness and foundations; anonymity; Part III: quantum cryptanalysis; symmetric-key cryptanalysis; Part IV: cryptanalysis of post-quantum and public-key systems; side-channels; quantum random oracle model; Part V: functional encryption, commitments and proofs; secure messaging and broadcast; Part VI: homomorphic encryption; encryption with special functionalities; security proofs andsecurity models; Part VII: post-quantum cryptography; Part VIII: quantum cryptography; key exchange; symmetric-key design.

This book gathers the proceedings of the 12th International Conference on Frontier Computing, held in Tokyo, Japan, on July 12–15, 2022, and provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, Web intelligence, and related fields that inspire the development of information technology. The respective contributions cover a wide range of topics: database and data mining, networking and communications, Web and Internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions, and the book benefits students, researchers, and professionals alike. Further, it offers a useful reference guide for newcomers to the field.

This third of the three-volume book is targeted as a basic course in algebraic topology and topology for fiber bundles for undergraduate and graduate students of mathematics. It focuses on many variants of topology and its applications in modern analysis, geometry, and algebra. Topics covered in this volume include homotopy theory, homology and cohomology theories, homotopy theory of fiber bundles, Euler characteristic, and the Betti number. It also includes certain classic problems such as the Jordan curve theorem along with the discussions on higher homotopy groups and establishes links between homotopy and homology theories, axiomatic approach to homology and cohomology as inaugurated by Eilenberg and Steenrod. It includes more material than is comfortably covered by beginner students in a one-semester course. Students of advanced courses will also find the book useful. This book will promote the scope, power and active learning of the subject, all the while covering a wide range of theory and applications in a balanced unified way.

Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking.

The book provides a thorough overview of recent developments in the design of AI systems and their uses in a range of industries, including education, technology, and bioinformatics. The papers in the proceedings were presented at the Sixth International Conference on Artificial Intelligence, Medical Engineering, and Education (AIMEE2022), which took place in Wuhan, China, from August 19 to 21, 2022. The book underlines the need for the intensification of training of an increasing number of appropriate specialists given the rapid growth of AI systems. In order to replicate human and other species'natural intelligence in digital AI systems, the researchers have been studying genetics and inherited biological processes in-depth. These studies offer fresh ideas for developing ever more powerful AI techniques. The featured articles cover a variety of themes in the fields of mathematics and biomathematics, medical approaches, technical and educational approaches, and medical approaches. The book is a compilation of recent academic papers in the discipline, covering a wide range of topics that are important to both business managers and engineers. This proceedings is a fantastic resource for asset management practitioners, researchers, and academics, as well as undergraduate and graduate students who are interested in AI, bioinformatics systems, and their developing applications. This is due to the breadth and depth of the proceedings. Experts, students, and other people who are interested in learning about how AI systems might be used in the future are the target audience.

Semi-arid regions are ecological security barriers that prevent arid regions from expanding and turning into deserts. The expansion of arid regions and desertification seriously threaten ecological security, and human society cannot achieve sustainable development in an insecure ecological environment. As the transitional zone between arid and humid regions, semi-arid regions lay the foundation of ecological safety for the development of human society.This book provides an overview of processes and mechanisms that characterize semi-arid climate change both regionally and globally. It explains systematically theoretical concepts, including land-atmosphere interactions, ocean-atmosphere interactions, and factors that contribute to climate change, including the impact of human activities. A summary of recent progress in the research in the field and the future of semi-arid regions are also discussed.This book is a specialized monograph and textbook for graduate students of Earth sciences. It is also suitable for undergraduate or graduate students in related majors such as those engaged in atmospheric science, climate change studies, and Earth sciences.

This book explores different aspects of and provides concrete suggestions to meet the three main challenges for becoming a “Digital Enterprise”: the transition to the digital age, the emergence of service ecosystems, and the growing role of data as a key underlying resource. As a result of these intertwined and mutually amplifying trends, today's enterprises are confronted with several challenges that profoundly impact their design, from the definitions of products and services offered to their clients via the business processes that deliver these products and services to the underlying IT infrastructure.The contributions which are written by leading enterprise architecture researchers and managers of large corporations cover four key aspects which form each one part of the book: Part I presents experiences how different enterprises currently already need to embrace and exploit new challenges like blockchain, customer-centric services, or value co-creation networks. Part II looks atthe need for a new design logic, i.e. the need for new ways of thinking regarding the design of enterprises. Part III is concerned with the coordination needed among different stakeholders of the ensuing continuous transformations. Part IV eventually reflects on the ongoing consequences for enterprise modeling as used to capture both the current affairs of an enterprise, as well as design/study its possible future affairs.The target audience of this book are both master and PhD level students who want to gain insights into key aspects of the challenges confronting digital enterprises, as well as enterprise architects and information managers working in enterprises that are on their way to become digital.

Although it offers an appropriately complex treatment of the American past, Boyer/Clark/Halttunen/Kett/Salisbury/Sitkoff/Woloch/Rieser's THE ENDURING VISION: A HISTORY OF THE AMERICAN PEOPLE, 10th EDITION, requires no prerequisite knowledge from students. The approach is not only comprehensive, but readable, lively and illuminating. It is attentive to the lived historical experiences of women, African Americans, Hispanic Americans, Asian Americans and Native Americans -- that is, of men and women of all ethnic groups, regions and social classes who make up the American mosaic. This text seeks to encourage students'spatial thinking about historical developments by offering a map program rich in information, easy to read and visually appealing. Visual culture -- paintings, photographs, cartoons and other illustrations -- is investigated throughout all chapters in the volume.

Although it offers an appropriately complex treatment of the American past, Boyer/Clark/Halttunen/Kett/Salisbury/Sitkoff/Woloch/Rieser's THE ENDURING VISION: A HISTORY OF THE AMERICAN PEOPLE, 10th EDITION, requires no prerequisite knowledge from students. The approach is not only comprehensive, but readable, lively and illuminating. It is attentive to the lived historical experiences of women, African Americans, Hispanic Americans, Asian Americans and Native Americans -- that is, of men and women of all ethnic groups, regions and social classes who make up the American mosaic. This text seeks to encourage students'spatial thinking about historical developments by offering a map program rich in information, easy to read and visually appealing. Visual culture -- paintings, photographs, cartoons and other illustrations -- is investigated throughout all chapters in the volume.

This book constitutes the First Left Atrial and Scar Quantification and Segmentation Challenge, LAScarQS 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022.The 15 papers presented in this volume were carefully reviewed and selected form numerous submissions. The aim of the challenge is not only benchmarking various LA scar segmentation algorithms, but also covering the topic of general cardiac image segmentation, quantification, joint optimization, and model generalization, and raising discussions for further technical development and clinical deployment.

Although it offers an appropriately complex treatment of the American past, Boyer/Clark/Halttunen/Kett/Salisbury/Sitkoff/Woloch/Rieser's THE ENDURING VISION: A HISTORY OF THE AMERICAN PEOPLE, 10th EDITION, requires no prerequisite knowledge from students. The approach is not only comprehensive, but readable, lively and illuminating. It is attentive to the lived historical experiences of women, African Americans, Hispanic Americans, Asian Americans and Native Americans -- that is, of men and women of all ethnic groups, regions and social classes who make up the American mosaic. This text seeks to encourage students'spatial thinking about historical developments by offering a map program rich in information, easy to read and visually appealing. Visual culture -- paintings, photographs, cartoons and other illustrations -- is investigated throughout all chapters in the volume.

In a secular age that offers a buffet of spiritualities focused on the self and on personal transformation, leading practical theologian Andrew Root shows the difference between these reigning mysticisms and an authentic Christian view of transformation.

The 9-volume set LNAI 14267-14275 constitutes the proceedings of the 16th International Conference on Intelligent Robotics and Applications, ICIRA 2023, which took place in Hangzhou, China, during July 5–7, 2023.The 413 papers included in these proceedings were carefully reviewed and selected from 630 submissions. They were organized in topical sections as follows:Part I: Human-Centric Technologies for Seamless Human-Robot Collaboration; Multimodal Collaborative Perception and Fusion; Intelligent Robot Perception in Unknown Environments; Vision-Based Human Robot Interaction and Application.Part II: Vision-Based Human Robot Interaction and Application; Reliable AI on Machine Human Reactions; Wearable Sensors and Robots; Wearable Robots for Assistance, Augmentation and Rehabilitation of Human Movements; Perception and Manipulation of Dexterous Hand for Humanoid Robot.Part III: Perception and Manipulation of Dexterous Hand for Humanoid Robot; Medical Imaging for Biomedical Robotics; Advanced Underwater Robot Technologies; Innovative Design and Performance Evaluation of Robot Mechanisms; Evaluation of Wearable Robots for Assistance and Rehabilitation; 3D Printing Soft Robots.Part IV: 3D Printing Soft Robots; Dielectric Elastomer Actuators for Soft Robotics; Human-like Locomotion and Manipulation; Pattern Recognition and Machine Learning for Smart Robots.Part V: Pattern Recognition and Machine Learning for Smart Robots; Robotic Tactile Sensation, Perception, and Applications; Advanced Sensing and Control Technology for Human-Robot Interaction; Knowledge-Based Robot Decision-Making and Manipulation; Design and Control of Legged Robots.Part VI: Design and Control of Legged Robots; Robots in Tunnelling and Underground Space; Robotic Machining of Complex Components; Clinically Oriented Design in Robotic Surgery and Rehabilitation; Visual and Visual-Tactile Perception for Robotics.Part VII: Visual and Visual-Tactile Perception for Robotics; Perception, Interaction, and Control of Wearable Robots; Marine Robotics and Applications; Multi-Robot Systems for Real World Applications; Physical and Neurological Human-Robot Interaction.Part VIII: Physical and Neurological Human-Robot Interaction; Advanced Motion Control Technologies for Mobile Robots; Intelligent Inspection Robotics; Robotics in Sustainable Manufacturing for Carbon Neutrality; Innovative Design and Performance Evaluation of Robot Mechanisms.Part IX: Innovative Design and Performance Evaluation of Robot Mechanisms; Cutting-Edge Research in Robotics.

In this book you will learn how the public cloud is significantly changing the cost structures of digital business models and thus existing markets. The relationships between the cloud architectures used, the organization of the company and the price and business models that are possible as a result are shown clearly and so that they can be used in your own company. The authors explain how, one after the other, more and more markets are becoming digital markets and what role marginal costs play in this. They describe how cloud-based IT is disrupting classic IT. This enables small teams to build scalable business models worldwide at zero marginal costs with little investment. The economic effects are clearly illustrated using specific examples. In addition, technical laypeople get an overview of which factors are particularly important for the competitiveness of their digital business models and how managers can influence them. Finally, the book gives practitioners specific guidelines on how the cloud transformation can be carried out in their company. The book is aimed primarily at executives and employees in the specialist departments and IT who want to drive the cloud transformation in their companies. This book is a translation of the original German 1st edition, Cloud-Transformation by Roland Frank, Gregor Schumacher and Andreas Tamm published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2019. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content.

Tout le vocabulaire de la physique, en passant par les noms d'expériences et les biographies de nombreux physiciens. Ce dictionnaire propose la définition de plus de 7000 termes relatifs à la physique :- du vocabulaire de base et aux termes plus spécialisés, - noms d'expériences - biographies de nombreux physiciens. Il inclut plus de 200 figures, de nombreuses précisions historiques et de nombreuses références bibliographiques de qualité, en français ou en anglais, pour le lecteur désirant approfondir sa recherche. Un lexique anglais-français et un index détaillé permettent d'accéder rapidement à l'information souhaitée. Cette 5e édition -entièrement revue- comporte plusieurs centaines de nouveaux termes.

This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise.

This book constitutes the proceedings of the 5th International Workshop on Predictive Intelligence in Medicine, PRIME 2022, held in conjunction with MICCAI 2022 as a hybrid event in Singapore, in September 2022.The 19 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.

The environment is an all-encompassing component of the ecosystem of'Blue planet - the earth', made up of the hydrosphere, atmosphere and lithosphere. These three spheres have biotic and abiotic components which exhibit ecological homeostasis that provides the most appropriate survival chances for the members of biotic component and geochemical balance with abiotic components. This ecosystem is subjected to relatively harsh conditions, mostly created by the disastrous activities due to natural calamities and intentional and/or accidental anthropogenic activities. Biotechnology has become a potential tool to dissipate such environmental impacts because of the advancement it has undergone recently. Emerging Trends in Environmental Biotechnology is an outstanding collection of current research that integrates basic and advanced concepts of biotechnology such as genomics, proteomics, bioinformatics, sequencing, and imaging processes to improvise and protect the environment. This book is particularly attractive for scientists, researchers, students, educators and professionals in environmental science, agriculture, veterinary and biotechnology science. The book will enable them to solve the problems about sustainable development with the help of current innovative biotechnologies such as recombinant DNA technology and genetic engineering which have tremendous potential for impacting global food security, environmental health, human and animal health and overall livelihood of mankind.Features Presents easy-to-read chapters Information is presented in a very accessible and logical format Identifies and explores biotechnological approaches for environmental protection Encompasses biodegradation of hazardous contaminants, biotechnology in waste management, nanotechnology, and issues in environmental biotechnology research

Elixir is a functional language that crosses many boundaries. With a syntax borrowing heavily from Ruby, a runtime that is on the Erlang BEAM, a macro system like that in Lisp, and a streaming library like you might find in Haskell, Elixir takes the best features from many environments. Elixir borrows from Erlang's'Let It Crash'philosophy, and adds significant improvements with structs, first-class hygienic macros, and abstractions such as protocols. Many of these ideas were borrowed from other communities, and they make a big difference in language adoption. This book gives you a quick guided tour through the fascinating world of Elixir! Explore Elixir with the author of Seven Languages in Seven Weeks. In this fast-paced book - first published with Groxio's Programmer Passport - you'll discover how Elixir's fantastic documentation, clear error messages, and excellent tooling make it approachable and easy to work with. Learn about techniques other books skip, like writing your own Mix task, and discover several blind spots that beginning and intermediate Elixir developers encounter. Effective Elixir depends on getting the most out of the most common datatypes - explore the most important ones before using them to write modules and different kinds of functions. Learn when to choose tuples, maps, or lists in your programs, and the most effective ways to access lists. Understand the differences between maps and keyword lists. Learn the primitives Elixir uses to start multiple processes and send messages between them. You'll finish the book by dabbling with the advanced techniques of streams, sigils, and macros. Find out what Groxio customers already know. The assistance of an experienced guide will help you learn Elixir more quickly than you could without one. What You Need: You'll need Elixir version 1.12 or greater.