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Elsevier

Libros en Ciencias de la Computación

  • Medical Robotics and Intelligent Healthcare Technologies

    AI Applications to Improve Healthcare in Developing Countries
    • 1 Edición
    • Jacky Baltes + 3 más
    • Inglés
    Medical Robotics and Intelligent Healthcare Technologies: AI Applications to Improve Healthcare in Developing Countries is an essential reference for professionals and researchers in fields such as biomedical engineering, health informatics, bioelectronics, medical electronics, physiology, and robotics. This book presents the latest advancements in AI and machine learning-based robotics applications, enabling readers to quickly grasp effective methods and compare various approaches. Addressing critical research areas that directly impact human life and health fills a significant market gap, providing valuable insights into AI, deep learning, machine learning, and big data analytics methods as they relate to emerging robotics research models in the biomedical and healthcare domains.It offers a comprehensive understanding of the concepts, themes, and tools in medical robotics, IoT-based applications, edge computing, and artificial intelligence. With a specific focus on developing countries, this book catalyzes healthcare progress by showcasing the potential of medical robotics and intelligent healthcare technologies. It aims to empower researchers and practitioners to harness these state-of-the-art technologies to improve healthcare systems worldwide.

  • Quantum Technology

    • 1 Edición
    • Stefan Tappertzhofen + 1 más
    • Inglés
    Quantum Technology introduces the readers to the fundamentals, materials, and devices for quantum technology applications.The author provides the reader with the key principles of quantum and solid-state physics, and electronic, magnetic and low-dimensional materials. Then, he introduces important advances towards realization of quantum technology such as quantum computing, quantum electronics, and cryogenics. Throughout, the author explores how understanding of materials, physics and nanotechnology can lead to practical implementation and design of devices and new technologies. Enabling technologies that underpin the design of materials, devices, and applications are also discussed.Quantum Technology is suitable for materials scientists, engineers and physicists working towards the realization of quantum technologies. It may be also of interest to computer scientists working in this area.

  • Data-Driven Diagnostics and Disease Prediction with AI Optimization

    • 1 Edición
    • Shailendra Pratap Singh + 3 más
    • Inglés
    Data-Driven Diagnostics and Disease Prediction with AI Optimization provides useful insights into model creation, data preparation, and ethical issues for healthcare applications. The book covers all the conventional and non-conventional methods related to this domain. It also discusses AI-based optimization techniques, Machine Learning models, and Advanced AI, offering practical insights, case studies, and optimization strategies to help data scientists and researchers efficiently employ AI in diagnostics and illness prediction in a world where precise diagnostics and early illness prediction may save lives and healthcare resources.

  • IoT Security

    Fundamentals and Key Enabling Technologies
    • 1 Edición
    • SK Hafizul Islam + 3 más
    • Inglés
    IoT Security: Fundamentals and Key Enabling Technologies explores the complex interactions between Internet of Things (IoT) and the pressing need for effective cyber security solutions. Diving into real-world case studies to provide insights into implementing efficient security measures that safeguard against online dangers, this book comprehensively analyzes the challenges and possibilities presented by intelligent technologies fueling transformational change, emphasizing the crucial role cybersecurity plays in defending networks, data, and user privacy in an increasingly interconnected digital ecosystem.Coverage includes cryptographic methods, communication networks, device identity and access, data governance and privacy, as well as regulatory frameworks and standards for IoT security. Computer science researchers and engineers will benefit from this compilation of cutting-edge research and practical case studies, learning how to minimize risks for IoT and intelligent technologies.

  • Internet of Things Security

    Attacks, Tools, Techniques and Challenges
    • 1 Edición
    • Preeti Mishra + 4 más
    • Inglés
    Internet of Things Security: Attacks, Tools, Techniques and Challenges delves into the essential aspects of safeguarding devices within the IoT ecosystem. This book provides a comprehensive overview of the IoT architecture, its vast applications, and the difficulties in securing such an expansive infrastructure. Readers gain insight into various security vulnerabilities present at each layer of IoT architecture, alongside viable security solutions. The book thoroughly examines distinct access control and authentication strategies, including intrusion detection systems (IDS), misuse detection, anomaly detection, DNS-based security solutions, and the implementation of artificial intelligence (AI) in cognitive IoT security.Additionall... the book explores microservice architecture for distributed IoT security and blockchain-based IoT security solutions.

  • Cybersecurity Defensive Walls in Edge Computing

    • 1 Edición
    • Agbotiname Lucky Imoize + 2 más
    • Inglés
    Cybersecurity Defensive Walls in Edge Computing dives into the creation of robust cybersecurity defenses for increasingly vulnerable edge devices. This book examines the unique security challenges of edge environments, including limited resources and potentially untrusted networks, providing fundamental concepts for real-time vulnerability detection and mitigation through novel system architectures, experimental frameworks, and AI/ML techniques. Researchers and industry professionals working in cybersecurity, edge computing, cloud computing, defensive technologies, and threat intelligence will find this to be a valuable resource that illuminates critical aspects of edge-based security to advance theoretical analysis, system design, and practical implementation of defensive walls. With a focus on fast-growing edge application scenarios, this book offers valuable insights into strengthening real-time security for the proliferation of interconnected edge devices.

  • Feature Extraction and Image Processing for Computer Vision

    • 5 Edición
    • Mark Nixon + 1 más
    • Inglés
    Feature Extraction and Image Processing for Computer Vision, Fifth Edition is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated, providing a link between theory and implementation. Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.

  • Federated Learning in Metaverse Healthcare

    Personalized Medicine and Wellness
    • 1 Edición
    • Shubham Mahajan + 1 más
    • Inglés
    Federated Learning in Metaverse Healthcare: Personalized Medicine and Wellness explores the integration of the metaverse with healthcare, offering immersive experiences and personalized care. The book introduces federated learning, emphasizing its advantages over traditional centralized machine learning in healthcare. It provides a historical context and discusses the technological advancements that led to the emergence of metaverse healthcare. Privacy-preserving methods crucial for protecting sensitive healthcare data within federated learning environments are also examined, underscoring the importance of secure communication protocols. Other important points include the transformation of healthcare delivery through virtual environments, remote consultations, and immersive experiences.The role of telemedicine in facilitating remote diagnostics and consultations via virtual platforms, and the applications of augmented reality wearables for real-time health monitoring and wellness tracking are detailed. Additionally, the book discusses federated learning's ability to deliver personalized treatment plans tailored to individual patient needs, its role in predictive modeling for disease risks and prevention, as well as virtual health coaches offering personalized guidance for wellness management. The challenges and ethical dilemmas of metaverse healthcare and federated learning, along with potential solutions, are also considered.

  • Quantum Computational AI

    Algorithms, Systems, and Applications
    • 1 Edición
    • Long Cheng + 2 más
    • Inglés
    Quantum Computational AI: Algorithms, Systems, and Applications is an emerging field that bridges quantum computing and artificial intelligence. With rapid advancements in both areas, this book serves as a vital resource, capturing the latest theories, algorithms, and practical applications at their intersection. It aims to be both informative and accessible, making it perfect for academics, researchers, industry professionals, and students eager to lead in these technologies. The book explores quantum algorithms, system design, and demonstrates real-world applications across various sectors. It provides a comprehensive understanding of how quantum principles can advance AI, revealing unprecedented possibilities and benefits.

  • Metaverse in the Healthcare Industry

    Potential Applications, Tools, and Techniques
    • 1 Edición
    • Hemachandran Kannan + 4 más
    • Inglés
    Metaverse in the Healthcare Industry: Potential Applications, Tools, and Techniques explores the intersection of rapidly evolving metaverse technology and its implications for the healthcare sector. The book provides a comprehensive overview of virtual and augmented reality, artificial intelligence, and other immersive technologies that have gained significant attention within the context of the metaverse in healthcare. It emphasizes how these technologies can revolutionize healthcare by enabling virtual clinics, patient education, remote medical training, therapeutic interventions, and much more. By bringing together diverse perspectives, it contributes to the ongoing discourse on the future of healthcare delivery and innovation.This book also delves into technical aspects of metaverse development and its integration with existing healthcare systems. It discusses ethical considerations and challenges associated with implementing metaverse technologies in healthcare settings. Additionally, it highlights the potential to reshape the healthcare landscape by fostering innovation, improving patient care, and revolutionizing medical training and research. Readers will gain insights into applications, tools, and techniques for leveraging the metaverse to create more effective and accessible healthcare solutions.

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