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Elsevier

Libros en Ciencias de la Computación

  • Company Digital Twins

    Emerging Trends, Technologies, and Applications
    • 1 Edición
    • Joseph Bamidele Awotunde
    • Inglés
    The concept of the digital twin, a virtual representation of a physical system, has gained significant attention due to advancements in Artificial Intelligence, Internet of Things, and data analytics. It plays a crucial role in enhancing efficiency, sustainability, and decision-making across industries, such as manufacturing, healthcare, and urban planning. The timeliness of this topic lies in the rapid digital transformation and the increasing complexity of systems requiring real-time, intelligent management to achieve competitive advantages and sustainability goals. Company Digital Twins explores virtual companies based on digital twin technologies. Digital twin computing not only reduces the gap between a real company and a virtual company, but generates new datasets, making the company digital twin a bridge between the real and virtual company. A company digital twin is also the mirror that reflects the real company into the virtual company. The structure of the book is comprised of 15 chapters that discuss the foundational concepts emerging trends, underlying technologies, practical applications; and future directions, and includes data security and privacy concerns, integration issues, and the scalability of digital twins across large companies. Sitting within the series, Advances in Digital Twin Computing and Sensor Networks, Company Digital Twins is essential reading for anyone who needs to benefit from the capabilities of digital twins within the organization.

  • Full-Stack Web Development from the Ground Up

    Principles, Practices, and Technologies
    • 1 Edición
    • Christopher D Hundhausen
    • Inglés
    Full-Stack Development from the Ground Up: Principles, Practices, and Technologies addresses the growing need for a comprehensive upper-division computer science textbook that provides in-depth treatment of full-stack web development using the modern web development technologies that students are likely to encounter in industry. Professional full-stack web developers who are capable of developing both the front-end user interfaces and back-end databases and services for dynamic websites are in high demand. The book begins by laying a foundation in HTML, CSS and JavaScript—the building blocks of client-side web development.It then explores one particular web development stack in detail: MERN, which stands for MongoDB, Express.js, React.js and Node.js. Together, these four technologies provide powerful support for full-stack web development in a single programming language—JavaScript. The crucial final step in the web development process is deploying apps to a server, so users can interact with them. This book simplifies deployment by focusing on just one web deployment environment: Amazon Web Services (AWS), and only those AWS tools that are absolutely necessary to deploy MERN applications.

  • Principles of Medical Biohybrid Microrobots

    • 1 Edición
    • Veronika Magdanz + 1 más
    • Inglés

  • Healthcare 5.0

    Applications of Artificial Intelligence, Machine Learning, IoMT, and Big Data
    • 1 Edición
    • Yugal Kumar + 2 más
    • Inglés
    Healthcare 5.0: Applications of Artificial Intelligence, Machine Learning, IoMT, and Big Data addresses the urgent need for innovation in today’s complex healthcare data landscape, characterized by pandemics, aging populations, and escalating chronic conditions. This book introduces the concept of ‘Healthcare 5.0’ as an interconnected, data-driven, and patient-centric framework, where advanced technologies—such as AI, ML, IoMT, Big Data, and Large Language Models (LLMs)—converge to optimize care, streamline operations, and deliver personalized, predictive solutions that meet real-world challenges. Comprising six comprehensive sections, the book moves from core AI applications in electronic health records, drug discovery, data management, and privacy, through cutting-edge big data analytics for precise disease forecasting and diagnosis. It explores new research advances in the Internet of Medical Things including connected device architectures and their fusion with AI for dynamic decision-making. The third section focuses on data analytics in telemedicine, remote care, system usability, and integration in Healthcare 5.0. The personalized healthcare section details analysis and applications in AI- and IoT-powered assistance, and real-time monitoring. The last section explores the development of LLMs and their applications in medical imaging, clinical decision support, predictive analytics, system architectures, as well as the ethical challenges of their deployment in healthcare. Healthcare 5.0: Applications of Artificial Intelligence, Machine Learning, IoMT, and Big Data serves as an essential resource for graduate students, researchers, and engineers in computer science, data science, and biomedical informatics. It bridges theory and practical application, offering interdisciplinary insights, foundational background, detailed case studies, and guidance on navigating the next generation of healthcare data systems. Whether for research or real-world innovation, readers gain the tools to design, analyze, and implement intelligent healthcare data solutions for a rapidly evolving digital era.

  • The Deterministic Universe

    Exploring Chaos, Free Will, Prediction, and Modeling
    • 1 Edición
    • Paul A. Gagniuc
    • Inglés
    The Deterministic Universe: Exploring Chaos, Free Will, Prediction, and Modeling equips readers with the tools to learn the foundational concepts of chaos, randomness, and determinism through examples and applied case studies. The book helps readers gain insight into how deterministic algorithms handle complex, chaotic data, providing an interdisciplinary exploration of chaos theory, determinism, and free will, grounded in scientific principles, computational models, and philosophical insights. The content builds on established theories in physics, bioinformatics, and systems biology, weaving them into broader existential questions. The material emphasizes the interplay between randomness, noise, and order, providing a fresh lens to view the universe and our place within it. The book connects these ideas to practical tools like random number generators and nonlinear equations, machine learning algorithms, computational and predictive models, extending their implications to biological systems, human thought, and decision-making. By addressing both scientific fundamentals and philosophical debates, the book bridges abstract ideas with real-world phenomena and demonstrates the role of randomness and noise in predictive models and simulations, helping readers understand the limits of computational systems in mimicking real-world processes.

  • High-Performance Computing

    Applications and Frontiers
    • 1 Edición
    • Oscar Diez
    • Inglés
    High-Performance Computing: Applications and Frontiers serves as an essential, up-to-date guide for those seeking to master the rapidly evolving field of HPC. Building on foundational concepts, this volume delves into specialized tools and emerging technologies shaping modern research and industry, such as parallel and distributed systems, GPU programming, quantum computing, and cloud-based solutions. Designed for advanced students, researchers, and professionals, it prepares readers to tackle real-world challenges by combining theoretical insights with practical expertise, offering a clear roadmap for navigating both established and cutting-edge HPC landscapes.The book further distinguishes itself by exploring domain-specific applications, machine learning, and the future trajectory of high-performance computing. Key topics include containerization, AI-powered HPC, hybrid and multi-cloud strategies, as well as recent advancements in GPU and quantum technologies. With its blend of theory and hands-on examples, this book is a versatile reference that meets the growing demand for a comprehensive resource in today's data-driven world.

  • Quantum Communication and Cryptography

    • 1 Edición
    • Walter O. Krawec
    • Inglés
    Quantum Communication and Cryptography introduces readers to the theory of quantum cryptography, with a focus will on quantum key distribution (QKD) and more advanced quantum cryptographic protocols beyond QKD. It contains a brief introduction to the field of modern cryptography that is needed to fully appreciate and understand how quantum cryptographic systems are proven secure, and how they can be safely used in combination with current day classical systems. Readers are then introduced to quantum key distribution (QKD) - perhaps the most celebrated, and currently the most practical, of quantum cryptographic techniques.Basic protocols are described, and security proofs are given, providing readers with the knowledge needed to understand how QKD protocols are proven secure using modern, state- of-the-art definitions of security. Following this, more advanced QKD protocols are discussed, along with alternative quantum and classical methods to improve QKD performance. Finally, alternative quantum cryptographic protocols are covered, along with a discussion on some of the practical considerations of quantum secure communication technology. Throughout, protocols are described in a clear and consistent manner that still provides comprehensive, theoretical proofs and methods.

  • Mastering Java Full Stack Development

    From Spring Boot to ReactJS
    • 1 Edición
    • Usharani Bhimavarapu
    • Inglés
    Mastering Java Full Stack Development is an essential handbook for building robust, scalable, and future-ready enterprise applications using today's most in-demand technologies. Written for full-stack developers, software engineers stepping into enterprise systems, as well as students preparing for real-world architecture challenges, this comprehensive guide walks readers through every layer of modern application design—from Spring Boot and Hibernate to Node.js and ReactJS, and from secure RESTful APIs to microservices and cloud-native deployment. Structured for progressive learning, the book blends theory with hands-on examples to help readers build applications that are not just functional, but maintainable, secure, and scalable. Each chapter provides the why behind the how — enabling readers to make informed technical decisions grounded in industry best practices. Mastering Java Full Stack Development offers a unified, full-stack view of enterprise application development, integrating backend, frontend, database, and cloud layers. The book provides an integrated, end-to-end guide that shows how Spring, Hibernate, React, and Microservices work together in a cohesive architecture. The book also addresses the growing interest and practical implementation challenges associated with applying the most current development methodology to Java software engineering environments, offering a deep dive into foundational concepts, the challenges faced in real-world applications, and potential future developments. Java remains an integral programming language in modern web-based software development, which enables smoother collaboration, faster deployment, and improved quality of software products. The book is written for full stack developers and Java backend developers who want to expand into frontend technologies, as well as frontend developers looking to master enterprise-level backend development.

  • Integrating AI in Psychological and Mental Health Care

    Techniques, Applications, and Ethical Considerations
    • 1 Edición
    • Sandeep Kautish + 4 más
    • Inglés
    Integrating AI in Psychological and Mental Health Care: Techniques, Applications, and Ethical Considerations introduces key concepts and the historical evolution of AI, providing a foundation for understanding its applications in mental health. The content delves into various aspects of AI, including diagnostic tools, machine learning algorithms, and natural language processing, highlighting their roles in enhancing therapeutic outcomes and improving patient care. The discussion encompasses significant mental health conditions such as anxiety, depression, and severe psychological disorders, showcasing how AI technologies can assist in diagnosis, treatment planning, and monitoring. Ethical considerations and privacy issues are critically examined, ensuring a balanced perspective on the benefits and challenges associated with AI-driven interventions. Practical applications, such as virtual psychotherapists and AI-enhanced cognitive behavioral therapy illustrate real-world implementations and their impact on patient care. Additionally, case studies provide insights into successful AI applications in mental health settings, thus enhancing our understanding of potential advantages and obstacles.

  • Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

    • 1 Edición
    • Hanif Heidari + 1 más
    • Inglés
    Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders discusses the latest developed methods in IoT and its applications in neurological disorders that emphasize end-user requirements. Intelligent IoT is used to explore the intersection between medicine, data science, biomedical engineering, and healthcare systems. A comprehensive overview of modelling and analyzing the requirements of people with neurological disorders is presented in this book. Signals and images of biological activity are collected and analyzed based on patient specifications to facilitate more accurate diagnosis and treatment. The book also discusses cutting-edge AI methods for IoT devices designed to treat neurological conditions.

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