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Elsevier

Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

  • Neural Networks

    A Concise Theoretical Foundation
    • 1st Edition
    • Aydin Sarraf + 1 more
    • English
    Neural Networks: A Concise Theoretical Foundation provides a comprehensive and structured overview of Neural Networks, covering basics as well as advanced topics. The book begins with basic concepts such as perceptrons, gradient-based learning, and optimization, then progresses through convolutional and recurrent networks, attention mechanisms, graph neural networks, and transformer-based models. Further sections explore generative models, reinforcement learning, biological perspectives, and the development of large-scale intelligent systems. The material is intended for students, researchers, and professionals who aim for both theoretical depth and practical understanding of modern Neural Network methods. This book was written to bring clarity and structure to the subject by presenting a unified framework that connects mathematical foundations with recent innovations. It aims to support learners and practitioners who want a single reference that explains both the fundamental ideas and the developments that have shaped current research and technology in artificial intelligence. Many readers find it difficult to connect primary principles with the wide variety of advanced cutting-edge Neural Network models used today. Concepts such as transformers, diffusion models, or biologically inspired systems can seem disconnected from basic learning algorithms. This book addresses that problem by organizing the material in a logical sequence that builds understanding step by step. It helps readers develop a clear and integrated view of how different techniques relate to each other and how they are applied in real-world systems.

  • Ethics of Blockchain by Design

    • 1st Edition
    • Muthu Ramachandran
    • English
    The increasing integration of blockchain into critical sectors such as finance, healthcare, and governance has prompted a pressing need to address ethical considerations from the ground up. While blockchain offers revolutionary potential for transparency, decentralization, and trust, it also introduces profound challenges around accountability, privacy, inclusion, and governance. Current literature often focuses on the technological and economic dimensions of blockchain but overlooks its ethical implications, leaving a critical gap in both research and practice. Ethics of Blockchain by Design addresses this gap by offering a comprehensive, design-centred framework that integrates ethical principles into every stage of blockchain system development. Rooted in systems engineering, the book systematically explores how ethical requirements can be specified, implemented, and validated within decentralized technologies. It goes beyond theoretical discussions by providing actionable methodologies, case studies, governance models, and compliance tools, making it essential reading for blockchain architects, developers, students, and policy makers. This book positions itself at the intersection of engineering, ethics, and decentralized innovation, and builds on the author’s extensive contributions to AI ethics, secure software systems, and blockchain in healthcare. As the demand for responsible digital infrastructure grows, Ethics of Blockchain by Design offers the first structured guide to ensuring blockchain technologies are not only technically sound but also ethically robust and socially accountable.

  • Knowledge Graphs and Large Language Models

    Current Approaches, Challenges, and Future Directions
    • 1st Edition
    • Sanju Tiwari + 3 more
    • English
    Knowledge Graphs and Large Language Models: Current Approaches, Challenges, and Future Directions explores the cutting-edge fusion of two powerful artificial intelligence technologies: Large Language Models (LLMs) and Knowledge Graphs (KGs). The book is structured to provide a comprehensive understanding of this emerging field. Chapters introduce the synergy between LLMs and KGs, delve into the capabilities and challenges of LLMs, focus on the structure, function, and significance of KGs, present a conceptual framework for bridging LLMs and KGs, discuss techniques for their integration, explore how LLMs can enhance KGs and vice versa, and showcase applications of LLM-KG synergy across various domains.Final sections addresses ethical, social, and technical challenges and future innovations. The book concludes by summarizing key insights and advancements in intelligent systems. This is an essential resource for graduate students, researchers, and professionals in computer science. It offers valuable insights for adopting LLMs, KGs, and their advanced applications in research and product development. By bridging the gap between these technologies, this book equips readers with the knowledge to drive innovation and enhance the capabilities of intelligent systems.

  • A Comprehensive Guide to R Programming for Data Analytics

    • 1st Edition
    • Parul Acharya
    • English
    A Comprehensive Guide to R Programming for Data Analytics provides a comprehensive presentation of univariate and multivariate statistical models within the general linear model and generalized linear model framework to analyze simple and complex data using R software. This book presents popular R packages that are used in data mining (e.g., caret-classification and regression, lubridate-dates and times, string-R for string data) and visualization (e.g., ggplot, ggthemes, ggtext). The R packages used to analyze data using a particular statistical model are explained through real-world and publicly available datasets. R codes are presented in a manner that helps readers understand the program code syntax.Examples of real-world data sets from a variety of academic disciplines are provided so that a wide audience can learn R programming to analyze data in their research. The book provides tips, recommendations, and strategies to troubleshoot common issues in R syntax, as well as definitions of key terms. Checkpoints are included to recap the concepts learned in each chapter. The book helps readers enhance their conceptual understanding and practical application of statistical models to real-world datasets, and enables readers to gain competency in R programming, which is an important skill in today’s data-driven market.

  • Autonomous Intelligence

    Designing the Future of Agentic Systems
    • 1st Edition
    • Shubham Mahajan + 1 more
    • English
    Autonomous Intelligence: Designing the Future of Agentic Systems provides insights into how autonomous technologies—from robots to AI-driven systems— are transforming industries and daily life. It explores how these intelligent agents operate independently, making decisions and taking actions without constant human intervention. Through clear explanations and real-world examples, the book serves as a gateway for both novices and experts as it simplifies the complexities of autonomous systems. Autonomous Intelligence: Designing the Future of Agentic Systems is broken down into six parts: Foundations of AI and Autonomy; Understanding Agentic Intelligence; Technology Enablers and Architectures; Design, Safety, and Deployment; Sectoral Applications of Agentic AI; Societal, Ethical, and Future Considerations. It considers how these technologies function, as well as addressing concerns about their integration, their limitations, their potential benefits, and the possible risks. In a rapidly evolving field, the book looks at latest trends, applications, and research, and at the ethical and legal considerations, especially in areas like employment, privacy, and accountability. Ranging from academic and theoretical concepts to case studies and practical examples, Autonomous Intelligence: Designing the Future of Agentic Systems allows the reader to confidently engage with, apply, and respond to agentic intelligence in their study, work, and daily lives.

  • Healthcare 5.0

    Applications of Artificial Intelligence, Machine Learning, IoMT, and Big Data
    • 1st Edition
    • Yugal Kumar + 2 more
    • English
    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 that is characterized by pandemics, aging populations, and chronic conditions. The 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. The book moves from core AI applications in electronic health records, drug discovery, data management, and privacy, through cutting-edge big data analytics for 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.

  • Probabilistic Modelling for Advanced Data Analysis

    • 1st Edition
    • Amit Kumar Tyagi + 1 more
    • English
    Probabilistic Modelling for Advanced Data Analysis provides a practical and rigorous guide for data practitioners to effectively implement probabilistic models in real-world scenarios. The book strikes a balance between high-level intuition and technical derivations, offering step-by-step explanations, real-world case studies, and Python implementation examples. The authors offer specific solutions that include modelling and quantifying uncertainty in data-driven decision-making, applying Bayesian inference to real-world problems, and implementing scalable probabilistic models for large-scale datasets, all of which contribute to explainable and trustworthy AI. Probabilistic modeling is a crucial tool in data analysis due to big data, artificial intelligence, and complex decision-making. Traditional statistical methods often fail to capture the inherent uncertainty in real-world datasets. This book presents readers with theoretical foundations and practical applications of probabilistic modeling, providing a structured approach for researchers, data scientists, and industry professionals. The book meets the increasing demand for uncertainty-aware AI models, Bayesian inference, and probabilistic graphical models across various fields of research. The authors have written a comprehensive handbook for probabilistic modelling, incorporating diverse perspectives and real-world case studies from a variety of fields. The book is written with accessibility in mind, benefiting readers from various backgrounds, including those new to the field.

  • Lightweight, Real-time Deep Learning Models for Healthcare Applications

    • 1st Edition
    • Tina Babu + 2 more
    • English
    Lightweight, Real-time Deep Learning Models for Healthcare Applications addresses the pressing need for deploying efficient artificial intelligence models in clinical environments constrained by limited computational resources. As AI adoption accelerates in healthcare, this reference targets the gap between advanced deep learning research and practical real-time applications, emphasizing model optimization, privacy, and regulatory compliance. The content comprehensively covers model compression techniques such as pruning, quantization, knowledge distillation, and neural architecture search, alongside federated learning frameworks and real-time inference optimization. Detailed chapters present hardware-aware strategies, security considerations, continuous learning, and regulatory validation. The book also provides extensive case studies and implementation blueprints demonstrating practical deployment on devices like Raspberry Pi, NVIDIA Jetson, and mobile health platforms. This book benefits researchers, clinicians, and healthcare technology professionals by offering practical solutions to develop, validate, and implement AI models that maintain diagnostic accuracy while meeting clinical constraints. It equips students and educators with theoretical foundations and hands-on examples to foster innovation in biomedical AI, ultimately enhancing diagnostic capabilities and patient care in diverse healthcare settings.

  • Generative AI Risks and Benefits within Human-Machine Teams

    • 1st Edition
    • William Lawless + 1 more
    • English
    Generative AI Risks and Benefits within Human-Machine Teams delves into the foundational principles, metrics, and applications of human-machine systems, addressing the legal ramifications of autonomy, public trust, and bidirectional AI systems. This book brings together world-class researchers, engineers, philosophers, social scientists, and other experts to discuss the critical aspects of generative AI, its risks, and benefits. The authors aim to establish a shared context between humans and machines, regulators, the public, and other stakeholders, exploring how these systems impact targeted audiences and society at large. The book combines human-centered computing and autonomous human-machine teams to provide a comprehensive understanding of generative AI's potential and challenges. The book is structured to guide readers through a detailed exploration of these topics. It begins with an introduction to the core concepts of human-machine collaboration and the next generation of large language models. The discussion then moves to practical applications, such as Human-AI collaboration for energy communities, autonomous human-machine team advances, and human-AI collaboration in the design process. The book also delves into adaptive collaboration patterns for logic modeling, assessing multimodal large language models in resolving visual ambiguities, and developing team context-aware collaborative AI assistants. Additionally, it explores the taxonomy of teamwork support for collaborative AI efforts, trust management in human-AI collaboration, and provides a distributed teaming testbed for human-machine collaboration in space missions. Finally, it addresses the limits of classical team science in interdependent human-machine teams. Generative AI Risks and Benefits within Human-Machine Teams is an essential resource for computer scientists and systems engineers focused on designing and theorizing about the development of autonomous systems. By providing in-depth insights into the integration of generative AI within human-machine teams, this book equips professionals with the knowledge to navigate the complexities of AI autonomy, enhance collaboration, and address the ethical and technical challenges associated with these advanced technologies.

  • Federated Learning for the Metaverse

    Applications in Virtual Environments
    • 1st Edition
    • Noor Zaman Jhanjhi + 3 more
    • English
    Federated Learning for the Metaverse: Applications in Virtual Environments provides readers with insights into how federated learning, a decentralized machine learning paradigm, can be strategically applied to address critical aspects of the metaverse. The book covers a wide range of topics, including privacy-preserving personalization, security, collaboration, adaptive learning environments, real-time communication, decentralized governance, language understanding, immersive learning experiences, avatar customization, and dynamic scene rendering.

  • System of Systems Engineering

    Innovations, Challenges, and Future Directions
    • 1st Edition
    • Bedir Tekinerdogan + 1 more
    • English
    System of Systems Engineering: Innovations, Challenges, and Future Directions focuses on the many aspects of System of Systems Engineering. Part I, Foundations of System of Systems Engineering, introduces the field, characterizes and classifies SoS, and discusses key concepts. Part II, Governance and Management of SoSE, covers strategic governance, policy and regulatory frameworks, and leadership and decision-making in SoSE projects. Part III, Methodologies and Tools, explores systems thinking and modeling approaches, lifecycle management, and interoperability and integration strategies. Part IV, AI and System of Systems Engineering, delves into leveraging AI for enhanced decision-making, machine learning applications, AI-driven automation and control, and ethical considerations.Final... Part V, Case Studies and Emerging Challenges, presents real-world applications in defense and aerospace, smart cities, healthcare, environmental and energy systems, and discusses future directions and research opportunities. This book offers significant benefits to graduate students, researchers, and professionals in software engineering, systems engineering, aerospace engineering, defense, telecommunications, and other fields where SoSE is relevant.

  • Company Digital Twins

    Emerging Trends, Technologies, and Applications
    • 1st Edition
    • Joseph Bamidele Awotunde
    • English
    Company Digital Twins, a new volume in the Advances in Digital Twin Computing and Sensor Networks series, explores virtual companies based on digital twin technologies. The book covers foundational concepts, emerging trends, underlying technologies, practical applications, future directions, data security, privacy concerns, integration issues, and the scalability of digital twins across large companies. It is essential reading for anyone who needs to benefit from the capabilities of digital twins within the organization. The timeliness of this book lies in the rapid, current digital transformation and the increasing complexity of systems requiring real-time, intelligent management to achieve competitive advantages and sustainability goals.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.

  • Artificial Intelligence and Machine Learning for Safety-Critical Systems

    A Comprehensive Guide
    • 1st Edition
    • Rajiv Pandey + 3 more
    • English
    Artificial Intelligence and Machine Learning for Safety-Critical Systems: A Comprehensive Guide provides engineers and system designers who are exploring the application of AI/ML methods for safety-critical systems with a dedicated resource on the challenges and mitigation strategies involved in their design. The book's authors present ML techniques in safety-critical systems across multiple domains, including pattern recognition, image processing, edge computing, Internet of Things (IoT), encryption, hardware accelerators, and many others. These applications help readers understand the many challenges that need to be addressed in order to increase the deployment of ML models in critical systems. In addition, the book shows how to improve public trust in ML systems by providing explainable model outputs rather than treating the system as a black box for which the outputs are difficult to explain. Finally, the authors demonstrate how to meet legal certification and regulatory requirements for the appropriate ML models. In essence, the goal of this book is to help ensure that AI-based critical systems better utilize resources, avoid failures, and increase system safety and public safety.

  • Advanced Concepts in Grey Wolf Optimizer

    Leading the Pack in Advanced Optimization
    • 1st Edition
    • Seyedali Mirjalili
    • English
    Advanced Concepts in Grey Wolf Optimizer: Leading the Pack in Advanced Optimization provides in-depth coverage of recent theoretical advancements in GWO, as well as advanced methods to handle issues such as multiple objectives, constraints, binary variables, large search spaces, dynamic goals, and uncertain data. This book assumes familiarity with optimization fundamentals and therefore dives directly into multi-objective, constrained, binary, and dynamic-environment variants, as well as GWO-ML/LLM hybrids. Extensive real-world case studies in areas such as energy systems, supply-chain design, LLM fine-tuning, robotics, and finance ensure that both scholars and engineers can translate the material into deployable solutions. The authors present important new theories, hybrids with Machine Learning/Deep Learning, and hybrid methods that increase GWO’s performance. The use of generative AI to improve this algorithm and make it more generic is also explored, along with diverse applications across multiple fields to illustrate the practical utility and versatility of the methods presented. Written by some of the world’s most highly cited researchers in the field of artificial intelligence, algorithms, and machine learning, the book serves as an advanced resource for researchers and practitioners interested in applying and developing the Grey Wolf Optimizer.

  • ARM Processors for Power Electronic Applications

    Fundamentals to Programming
    • 1st Edition
    • P. Ponnambalam + 2 more
    • English
    ARM Processors for Power Electronic Applications: Fundamentals to Programming teaches the concept of controlling power converters using the ARM processor, from its fundamentals to implementation procedure, including using advanced controllers for energy management. The book discusses coding the ARM processor for different power converters and a variety of applications. It covers the step-by-step procedure in the design of advanced controllers, the ARM processor and parallel processing, creating driver circuits to interface the ARM processor with power circuits, the peripherals to ARM processors so it can used to control power converters and coding for power circuits.

  • Full-Stack Web Development from the Ground Up

    Principles, Practices, and Technologies
    • 1st Edition
    • Christopher D Hundhausen
    • English
    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.

  • Artificial Intelligence and Data Science in Electric Vehicle Technology and Infrastructure

    • 1st Edition
    • V. Subramaniyaswamy + 3 more
    • English
    Artificial Intelligence and Data Science in Electric Vehicle Technology and Infrastructure offers a comprehensive exploration of how AI and data science are revolutionizing the electric vehicle (EV) industry. It guides readers through the basic concepts of EV technology and explains how machine learning and blockchain optimize battery management, predictive maintenance, and secure fault detection. The book highlights cutting-edge techniques like sensor fusion and computer vision for autonomous driving, alongside real-time analytics and edge computing for low-latency AI applications. It also covers intelligent charging infrastructure, route optimization, and renewable energy integration and shares insights into cybersecurity, business models, and demand forecasting, complemented by practical case studies.This book is a useful resource for researchers, scientists, advanced students, software engineers, data scientists, R&D professionals, and other industrial personnel working at the intersection of computer science, electrical engineering, artificial intelligence, data science, and machine learning with an interest in advancing AI and ML applications in electric vehicle technologies.

  • Robotics for Intervention in Healthcare

    From Technology to Clinical Practice
    • 1st Edition
    • Françoise J Siepel
    • English
    Robotics for Intervention in Healthcare: From Technology to Clinical Practice bridges the gap between deep-core robotic intervention technology and clinical aspects, including content that is appropriate for physicians and clinicians. The book gives insights on the importance of connectivity in early stages, thoroughly addressing which aspects are important to improve the innovation chain.

  • Synthetic Media, Deepfakes, and Cyber Deception

    Attacks, Analysis, and Defenses
    • 1st Edition
    • Cameron H. Malin
    • English
    Synthetic Media, Deepfakes, and Cyber Deception: Attacks, Analysis, and Defenses introduces the only analytical Synthetic Media Analysis Framework (SMAF) to help describe cyber threats and help security professionals anticipate and analyze attacks. This framework encompasses seven dimensions: Credibility, Control, Medium, Interactivity, Familiarity, Intended Target, and Evocation. Synthetic media is a broad term that encompasses the artificial manipulation, modification, and production of information, covering a spectrum from audio-video deepfakes to text-based chatbots. Synthetic media provides cyber attackers and scammers with a game-changing advantage over traditional ROSE attacks because they have the potential to convincingly impersonate close associates through text, imagery, voice, and video. This burgeoning threat has yet to be meaningfully addressed through any written treatment on the topic. The book is co-authored by three cyber influence and deception experts who have gained deep knowledge and experience on the topic through diverse, true operational pathways and backgrounds. The diversity and perspectives of the author team makes the content in the book the broadest and deepest treatment of synthetic media attacks available to readers.

  • Quantum Communication and Cryptography

    • 1st Edition
    • Walter O. Krawec
    • English
    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.

  • High-Performance Computing

    Applications and Frontiers
    • 1st Edition
    • Oscar Diez
    • English
    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.

  • Integrating AI in Psychological and Mental Health Care

    Techniques, Applications, and Ethical Considerations
    • 1st Edition
    • Sandeep Kautish + 4 more
    • English
    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.

  • Next-Generation VAPT

    Combining OSINT and AI-ML for Enhanced Vulnerability Assessment and Penetration Testing
    • 1st Edition
    • Ravi Sheth + 4 more
    • English
    Next-Generation VAPT: Combining OSINT and AI/ML for Enhanced Vulnerability Assessment and Penetration Testing empowers information security threat intelligence with the fusion of Open-Source Intelligence Tools (OSINT) and Artificial Intelligence and Machine Learning (AI/ML) to identify and detect vulnerabilities more efficiently and effectively. The book highlights the concept of OSINT for gathering actionable threat intelligence and AI/ML for automating threat detection, which ultimately enhances VAPT processes. The authors explain concepts for assessing the security of networks, wireless networks, performing VAPT on mobile devices, and conducting red teaming, which helps end users deal with upcoming threats at an early stage.It focuses on using machine intelligence for developing and validating exploits and AI-driven exploitation testing, which helps field experts discover and exploit vulnerabilities more quickly and accurately. Readers will find essential ethical and legal considerations in AI/ML and OSINT-based VAPT, ensuring responsible and compliant testing practices, accountability, and transparency. Industry Case Studies with solutions and safeguards are an integral part of the books applied approach.

  • Modern Bioinformatics

    From Molecular Insights to Biomedical Innovation
    • 1st Edition
    • Kolla Bhanu Prakash + 2 more
    • English
    Modern Bioinformatics: From Molecular Insights to Biomedical Innovation explores the rapidly advancing field of bioinformatics, addressing a critical gap in current literature by integrating quantum biology and quantum biosensors with computational bioinformatics. The book offers a thorough exploration of bioinformatics from foundational concepts to translational applications. It begins with molecular structures of proteins, DNA, and RNA, advancing through nano-molecular visualization and structural domain analysis. Readers gain insights into deep learning techniques like AlphaFold for protein structure prediction, AI applications in genomics, and molecular interactions critical to function. The text further covers computational methods in drug discovery, forensic bioinformatics, and molecular evolution.A unique emphasis is placed on the convergence of nanotechnology and quantum innovations in molecular diagnostics and biosensing, including quantum biosensors and quantum computing applications. The final sections focus on computational strategies for drug target identification, biomarker discovery, and clinical trial analysis, providing a holistic view of modern bioinformatics workflows. This book is an indispensable reference for advanced researchers, graduate students, and professionals in bioinformatics, molecular biology, and biomedical engineering seeking to integrate quantum computing and nanotechnology into their work.

  • The Deterministic Universe

    Exploring Chaos, Free Will, Prediction, and Modeling
    • 1st Edition
    • Paul A. Gagniuc
    • English
    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 insights 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.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, it bridges abstract ideas with real-world phenomena and demonstrates the role of randomness and noise in predictive models and simulations, thus helping readers understand the limits of computational systems in mimicking real-world processes.

  • Digital Twin and Industry 4.0

    Concepts, Frameworks, and Applications
    • 1st Edition
    • Abid Haleem + 1 more
    • English
    Digital Twin and Industry 4.0: Concepts, Frameworks, and Applications champions the use of digital twin technologies in the support of the fourth industrial revolution. These technologies, such as the Internet of Things, Artificial Intelligence, cloud computing, big data analytics, robotics, and VR can be combined to benefit a wide variety of industries, from healthcare and manufacturing to cybersecurity. Chapters discuss each respective technology, considering its classification, advantages, disadvantages, roles, its applications, and its potential for future developments. Alongside AI and IoT, the book looks at additive manufacturing, 5G, blockchain, sensors, holography, 3D-printing, drones, machine vision, and cyber-physical systems (CPS).Overall, Digital Twin and Industry 4.0 provides a comprehensive synthesis of theories and technologies underpinning digital twins for Industry 4.0, along with interdisciplinary coverage that connects digital twins with the other technologies. Sections also include applied case studies and examples that bridge the gap between academic research and industrial implementation.

  • Mastering Java Full Stack Development

    From Spring Boot to ReactJS
    • 1st Edition
    • Usharani Bhimavarapu
    • English
    Mastering Java Full Stack Development: From Spring Boots to ReactJS is an essential handbook for building robust, scalable, and future-ready enterprise applications using today's most in-demand technologies. 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. The book offers a unified, full-stack view of enterprise application development, integrating backend, frontend, database, and cloud layers.It provides an integrated, end-to-end guide that shows how Spring, Hibernate, React, and Microservices work together in a cohesive architecture, while also addressing the growing interest and practical implementation challenges associated with applying the most current development methodology to Java software engineering environments and offering a deep dive into foundational concepts, the challenges faced in real-world applications, and potential future developments. 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.

  • AI-Driven Diagnostics for 6G-Enabled Smart Healthcare

    • 1st Edition
    • Sangeeta Kumari + 3 more
    • English
    AI-Driven Diagnostics for 6G-Enabled Smart Healthcare explores the transformative integration of artificial intelligence (AI) and next-generation 6G networks in the healthcare sector. The book begins by highlighting the evolution of healthcare technology and the critical role of AI-driven diagnostics, emphasizing how 6G facilitates real-time, ultra-reliable communication. Key features of 6G, such as ultra-low latency and massive connectivity are discussed, showcasing their impact on advanced healthcare applications like remote diagnostics and patient monitoring. In addition, the integration of AI in medical diagnostics is examined, focusing on machine learning and deep learning techniques that enhance disease detection through medical imaging and clinical data analysis.Users will also find content that explores the benefits of remote patient monitoring, particularly for underserved populations, and delves into edge AI for localized, low-latency diagnostic processing. Other sections cover real-time imaging diagnostics are highlighted and address predictive analytics, detailing AI models that forecast diseases and the role of IoT devices and wearables in healthcare diagnostics. Final sections cover ethical considerations and regulatory challenges.

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

    • 1st Edition
    • Hanif Heidari + 1 more
    • English
    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.

  • Computational Intelligence in Mechatronics

    Solving Real-World Problems in Electronic Systems Design
    • 1st Edition
    • Mohamed Arezki Mellal
    • English
    Computational Intelligence in Mechatronics: Solving Real-World Problems in Electronic Systems Design provides a comprehensive exploration of the diverse applications of computational intelligence in the realm of applied electronics. By compiling cutting-edge research and practical case studies, the book bridges the gap between theory and practice, offering insights into how CI techniques can be effectively utilized to solve real-world problems in electronic systems design, analysis, and optimization. Through a combination of theoretical foundations, algorithmic implementations, and practical examples, readers will gain a deeper understanding of the potential benefits and limitations of CI in various applications within the field of applied electronics.From optimizing circuit designs to enhancing signal processing algorithms, CI has demonstrated its efficacy in addressing challenges across diverse domains such as telecommunications, consumer electronics, renewable energy systems, and medical devices. As the demand for intelligent electronic systems continues to grow, understanding and harnessing the potential of computational intelligence becomes imperative for researchers, engineers, and practitioners in the field of applied electronics.

  • Digital Transformation and Equitable Global Health

    A Future-Ready Perspective
    • 1st Edition
    • Arletty Pinel + 2 more
    • English
    Digital Transformation and Equitable Global Health: A Future-Ready Perspective presents a collective body of knowledge and global experiences that demonstrate current status and future trends in the use of exponential technologies and their potential for poverty reduction, improving health outcomes, strengthening health systems, and transforming traditional development aid structures. The book uses a translational innovation perspective to guide the reader—regardless of their area of expertise—on the rationale behind the co-creation of human-centered, affordable, and sustainable digital solutions.It addresses the interest of professionals from multiple areas (e.g., technology, health, social development, global financing), and it is a valuable resource for professionals, social scientists, practitioners, researchers, instructors, and undergraduate and graduate students interested in understanding the challenges and complexities of global public health and the applied uses of health technologies for equitable access to primary health care and universal health coverage.

  • Advances in Medical Imaging

    From Behavioral Analysis to Disease Prevention and Rehabilitation
    • 1st Edition
    • Dilber Uzun Ozsahin + 4 more
    • English
    Advances in Medical Imaging: From Behavioral Analysis to Disease Prevention and Rehabilitation presents a comprehensive exploration of the rapidly evolving field of medical imaging at the crossroads of clinical science, behavioral research, and public health. This book addresses the growing need to understand how advanced imaging technologies—such as MRI, PET, and ultrasound—are transforming healthcare beyond traditional diagnosis. By capturing structural, functional, metabolic, and molecular processes, these innovations provide new insights into brain function, lifestyle impacts, chronic disease, and rehabilitation, supporting the shift toward personalized and preventive medicine.The book is organized into five thematic sections covering a wide range of topics. Early chapters focus on the integration of neuroimaging with behavioral science, highlighting brain–behavior relationships through cutting-edge imaging modalities and cognitive software. Subsequent sections examine the effects of sedentary lifestyles on brain health, vascular function assessed by ultrasound, and musculoskeletal aging through imaging biomarkers. Additional chapters explore chronic disease management, yoga and cognitive well-being, stroke recovery, traumatic brain injury rehabilitation, and the expanding role of imaging in oncology and systemic diseases. Throughout, the book emphasizes the use of artificial intelligence, radiomics, and multimodal imaging to enhance precision medicine and population health research.Advances in Medical Imaging: From Behavioral Analysis to Disease Prevention and Rehabilitation offers valuable insights for researchers, clinicians, and healthcare professionals interested in the applications of medical imaging across multiple disciplines. It highlights imaging’s critical role in advancing personalized care, supporting preventive strategies, and fostering innovation in modern healthcare.

  • Intelligent Semantic Analysis for Healthcare

    • 1st Edition
    • Sonali Vyas + 3 more
    • English
    Intelligent Semantic Analysis for Healthcare explores the latest trends, developments, and future directions of intelligent semantic analysis techniques on retrieving and managing meaningful medical information for healthcare information systems. The book explores different computational methods, ideas, strategies, and techniques to analyze relevant healthcare information in an innovative and efficient way, thus bridging the gap between gathering and comprehending data with healthcare and biological applications. It offers a comprehensive view of intelligent semantic analysis in healthcare, bridging the gap between data collection and healthcare applications, and providing innovative computational methods for data analysis.Sections focus on intelligent semantic analysis rather than broader topics of big data and healthcare analytics. Additionally, the book is geared towards practical approaches and innovative techniques for state-of-the-art and current challenges in healthcare data management.

  • AI-Driven Optimization and Automation of Integrated Circuit Design

    • 1st Edition
    • Neha Singh + 2 more
    • English
    AI-Driven Optimization and Automation of Integrated Circuit Design discusses the latest AI-based methods, algorithms, architectures, and frameworks for digital, analog, and mixed-signal VLSI circuit design, verification and testability, physical design and related areas. The book considers the issues with traditional circuit design and explains how machine learning techniques can optimize and automate the process. It goes on to explain how AI-driven design can impact logic synthesis, circuit placement and routing, and behavioral simulation. Final sections include cases studies and a look at future developments for implementations of VLSI design, IC design, and hardware realization using AI tools and techniques.Artificia... Intelligence (AI) offers a solution to the bottleneck issues in the design of integrated circuits (IC) by optimizing and automating tasks in the design and fabrication process. As the world focuses on the development of skilled manpower and automation tools for chip design, verification, testing and fabrication, AI can be utilized to optimize and automate various steps in design cycle, saving time, reducing errors, and managing power consumption.

  • Agile Systems Engineering with SysML v2 and AI

    • 2nd Edition
    • Bruce Powel Douglass
    • English
    Agile Systems Engineering with SysML v2 and AI, Second Edition presents a practical vision of systems engineering in which requirements, structure, behavior, and analysis are captured as precise engineering data—while still addressing the “big system” concerns of safety, security, reliability, privacy, and performance in an agile context. World-renowned author and speaker Dr. Bruce Powel Douglass shows how agile methods, model-based systems engineering (MBSE), and artificial intelligence (AI), work together to reduce ambiguity, expose defects earlier, and sustain end-to-end traceability from stakeholder intent to verification evidence.This edition goes beyond concepts by providing usable, repeatable workflows for modern programs—covering incremental, agile, and DevSecOps-oriented lifecycles and the concrete process steps and gates that make them executable in practice. Rather than treating modeling as documentation, the book treats SysML v2 as a semantic backbone for capturing requirements, architecture, interfaces, behaviors, constraints, and verification intent in one coherent source of truth.New to this edition is an introduction to SysML v2 and an entire chapter on AI and modern MBSE, showing where AI assistants provide leverage, how to apply quality-control gates to keep outputs trustworthy, and how to integrate AI into real engineering workflows without surrendering correctness. Each chapter includes AI prompt patterns for MBSE—ready-to-use prompt structures for generating SysML v2 model elements, extracting and normalizing requirements from external sources, reconciling terminology, and reviewing models against project rules and acceptance criteria. Throughout, Douglass equips systems engineers with concrete methods to prevent specification defects, improve system quality, and reduce rework—so teams can move faster and build with greater confidence

  • Artificial Intelligence in Brain Disorders

    Innovations in Diagnosis and Treatment
    • 1st Edition
    • Pranav Kumar Prabhakar + 3 more
    • English
    Artificial Intelligence in Brain Disorders: Innovations in Diagnosis and Treatment focuses on the utilization of AI and machine learning to enhance current practices in the diagnosis and treatment of neurological disorders. Each chapter provides in-depth exploration of specific areas where AI can improve existing methodologies, offering practical guidance, case studies, and research findings that can be directly applied in the field. It explains the application of AI in diagnosing and treating major neurological illnesses and showcases the potential of AI in predicting diseases such as epilepsy and neurodegenerative disorders.As such, this book offers a detailed overview of AI and machine learning techniques relevant to neurological research.

  • Generative Artificial Intelligence for Neuroimaging

    Methods and Applications
    • 1st Edition
    • Deepika Koundal + 1 more
    • English
    Generative Artificial Intelligence in Neuroimaging: Methods and Applications offers a clear and practical guide for biomedical engineers and data scientists interested in using generative AI to improve neuroimaging techniques. The book explains key generative models, such as GANs, VAEs, and diffusion models, and shows how these methods can enhance data analysis, improve image quality, and support personalized medicine. It includes real-world examples that demonstrate the successful use of AI in diagnosing diseases and developing brain-computer interfaces. The book also discusses important ethical considerations and best practices for using AI responsibly in healthcare.Finally, the book addresses technical challenges and highlights future research opportunities in the field of AI and biomedical engineering. Whether you are an experienced professional or a new researcher, this book provides the knowledge and tools needed to advance neuroimaging and contribute to better patient care.

  • Symbiotic Planning for Urban Futures

    A Paradigm for Human-AI Co-Creation
    • 1st Edition
    • Zhong-Ren Peng
    • English
    Symbiotic Planning for Urban Futures: A Paradigm for Human-AI Co-Creation presents a framework for harnessing AI's analytical power while preserving democratic control over urban futures. This book establishes symbiotic planning as a falsifiable paradigm—grounded in five technology-neutral axioms and operationalized through governed friction—where AI acts as governed co-creator across the CORE framework: Collaboration, Options, Refinement, Execution. It clarifies distinct roles: AI synthesizes evidence, generates non-obvious options, and stress-tests plans; planners steward assumptions and translate values into constraints; communities contest and refine constraints; and authorized decision-makers set ends and grant time-bound approvals. Equity is treated as a primary design constraint, with equity floors as binding guardrails.This book serves as essential resource for urban planners, civic technologists, policymakers, researchers, and students committed to democratic urban governance in an algorithmic age. It provides actionable governance tools, including Civic Evidence Dossiers, Authorization Forums, Equity Gates, and a 100-Day Starter Kit, ensuring AI remains transparent, contestable, and subject to renewal. Whether navigating AI procurement, studying algorithmic accountability, or organizing for transparent decision-making, this book empowers readers to make cities more resilient, equitable, and democratically co-governed.

  • Advanced Computational and Mathematical Approaches in Applied Differential Equations

    • 1st Edition
    • Snehashish Chakraverty + 2 more
    • English
    Advanced Computational and Mathematical Approaches in Applied Differential Equations explores cutting-edge techniques and methodologies in solving complex differential equations, a cornerstone of mathematical modeling across science and engineering. The book bridges theory and application, offering advanced computational strategies and innovative mathematical insights to address real-world problems. Beginning with an overview that presents a unified framework that defines the types of differential equations covered (e.g. ordinary, partial, fractional, fuzzy), the book then progresses to foundations and methods such as Lie symmetries, homotropy, Adomian, FEM, FDM, spectral, machine learning, fuzzy, and fractional derivatives, addressing both computational and mathematical dimensions.Different... equations are fundamental to modeling complex systems, yet solving them often involves significant challenges due to their complexity and nonlinearity. The book equips readers with advanced tools and methodologies to overcome these challenges, providing innovative solutions that improve accuracy, efficiency, and applicability in real-world scenarios. Ideal for researchers, practitioners, and advanced students, it provides a comprehensive resource for tackling challenging applied differential equations with better precision and efficiency.

  • Cyber Threat Intelligence for Cloud Systems

    A Comprehensive Guide to Becoming an Analyst
    • 1st Edition
    • Gianni D'Angelo
    • English
    Cyber Threat Intelligence for Cloud Systems: A Comprehensive Guide to Becoming an Analyst begins with the foundational study of asset vulnerabilities, laying the groundwork for understanding the weak points within cloud environments. It then introduces tools and methodologies for the automated collection and supervision of data from assets, culminating in the exploration of advanced techniques, such as Artificial Intelligence and Machine Learning for data analysis and automated threat response. Alongside theoretical concepts, the book includes practical examples, hands-on exercises in Python, existing tools, and real-world case studies to help readers solidify their understanding and apply what they’ve learned.Cybersecurit... is one of the fastest-growing fields in today’s technological landscape, and with the increasing complexity and pervasiveness of cyber threats, especially in cloud environments, the need for qualified professionals such as Cyber Threat Analysts has never been more critical. Here, author Gianni D’Angelo provides the technical knowledge required to analyze and defend digital infrastructures, covering both traditional and modern approaches, highlighting how CTI supports decision-making and proactive defense strategies.

  • Neuro-Symbolic AI

    Integrating Neural Networks and Symbolic Reasoning
    • 1st Edition
    • Sarika Jain + 3 more
    • English
    Neuro-Symbolic AI: Integrating Neural Networks and Symbolic Reasoning explores the convergence of two historically distinct paradigms in artificial intelligence—data-dr... neural networks and logic-based symbolic reasoning. This book presents a comprehensive roadmap of this emerging hybrid discipline, offering deep theoretical insights, practical methodologies, and transformative applications across diverse research sectors, including healthcare, finance, engineering, and autonomous systems. It is structured into four parts—Foundational Principles, Hybrid Models and Techniques, Real-World Applications, and Emerging Challenges, bringing together cutting-edge research and expert perspectives to highlight how Neuro-Symbolic AI enhances interpretability, reasoning capabilities, and trust in intelligent systems.While neural networks have achieved remarkable success in perception and pattern recognition tasks, they often lack the reasoning, transparency, and generalizability that symbolic systems excel at. Conversely, symbolic AI lacks the flexibility and scalability of deep learning. This handbook directly addresses these challenges by providing a structured approach to Neuro-symbolic AI, presenting rigorous theoretical foundations, state-of-the-art hybrid techniques (e.g., knowledge graphs, compositionality, category theory), and diverse real-world applications. This book consolidates research insights, methodological innovations, and practical use cases into a single, accessible volume.

  • Advanced Intelligence Methods for Data Science and Optimization

    • 1st Edition
    • Amir Hossein Gandomi + 2 more
    • English
    Advanced Intelligence Methods for Data Science and Optimization covers the latest research trends and applications of AI topics such as deep learning, reinforcement learning, evolutionary algorithms, Bayesian optimization, and swarm intelligence. The book is a comprehensive guide that provides readers with theoretical concepts and case studies for applying advanced intelligence methods to real-world problems. Authored by a team of renowned experts in the field, the book offers a holistic approach to understanding and applying intelligence methods across various domains.It explores the fundamental concepts of data science and optimization, providing a strong foundation for readers to build upon, and will be a welcomed resource for AI researchers, data scientists, engineers, and developers on key topics such as evolutionary optimization techniques, reinforcement learning, Natural Language Processing, Bayesian optimization, advanced analytics for large-scale data, fuzzy logic, quantum computing, graph theory, convex optimization, differential evolution, and more.

  • Machine Learning Made Visual with Python

    • 1st Edition
    • Weisheng Jiang
    • English
    Machine Learning Made Visual with Python makes machine learning intuitive through Python coding and dynamic visualizations. The book helps readers grasp complex math concepts by showing how algorithms evolve step-by-step. Readers will learn how to develop a hands-on, visual, and practical path to mastering core machine learning algorithms. Importantly, the book includes practical examples and coding exercises.

  • Explainable AI for Transparent and Trustworthy Medical Decision Support

    • 1st Edition
    • Abhishek Kumar + 4 more
    • English
    Explainable AI for Transparent and Trustworthy Medical Decision Support equips readers with a comprehensive and timely resource that presents the principles, methodologies, and real-world applications of explainable AI (XAI) within the medical context. Covering a wide range of use cases—from radiology and pathology to genomics and clinical decision support systems—the book provides in-depth discussions on how XAI techniques can enhance interpretability, improve clinician trust, meet regulatory requirements, and ultimately lead to better patient outcomes. The book demystifies the workings of machine learning models and highlights techniques that make them interpretable.It is designed to empower not only AI researchers and developers but also healthcare administrators and policymakers with the knowledge needed to evaluate, adopt, and trust AI solutions in critical medical applications. The book's authors bring together theory, implementation strategies, ethical implications, and case studies under one cover, offering a multidisciplinary perspective that aligns computer science with medical practice and healthcare policy.

  • Digital Twins in the Smart Classroom

    Utilising Sensor Networks in the Educational Environment
    • 1st Edition
    • Tuan Anh Nguyen
    • English
    Digital Twins in the Smart Classroom: Utilising Sensor Networks in the Educational Environment explores virtual schools that have incorporated digital twin computing into the day-to-day running of the classroom. The book discusses the foundational concepts, practical applications, future directions, and the various aspects of virtual school, such as the student's daily activities, intelligent wireless sensor networks, privacy issues, and how the internet of things, artificial intelligence, machine learning, cloud computing, and fog/edge-computing can enable a smarter, more efficient, more optimized classroom.The smart classroom allows the incorporation of digital devices and learning software into the school environment, as well as sensor networks for tracking classroom processes, for data gathering, and to developed insights into the management of scholarly activity. Additionally, modern infrastructure within schools can involve the installation of advanced Information and communication technology (ICT): student-friendly data can be collected from wearable devices (personal digital assistants, iPads, iPods, smart watches, etc.) via wireless sensor networks; smart sensors can monitor the classroom environment, such as noise level, CO2 level, temperature, humidity, lecturers’ voice, and students/lecturers’ motion (by PIR - passive infrared sensors), and much more.

  • Green Intrusion Detection Systems for IoT

    • 1st Edition
    • Saeid Jamshidi + 3 more
    • English
    Green Intrusion Detection Systems for IoT tackles the pressing security challenges posed by the rapid expansion of the Internet of Things (IoT). The book delves into innovative, lightweight security models and energy-aware IDS mechanisms that strike a balance between security efficacy, computational efficiency, and environmental sustainability. Sections discuss the transformative role of IoT and the need for sustainable security solutions, highlight the distinctions between traditional and Green IDS, focus on lightweight security models essential for resource-constrained IoT devices, and delve into energy-efficient network designs.Additional sections explore green IDS mechanisms, including machine learning and distributed approaches, IoT vulnerabilities and mitigation strategies, practical examples of sustainable IDS in various smart environments, real-world case studies, and future directions in sustainable IoT security. The book concludes with actionable recommendations that align technological advancements with global sustainability goals.

  • AI-Driven Cybersecurity for Intelligent Healthcare Systems

    • 1st Edition
    • Balamurugan Balusamy + 3 more
    • English
    AI-Driven Cybersecurity for Intelligent Healthcare Systems explores the intersection between AI, cybersecurity, and healthcare. The book offers detailed insights into the unique cybersecurity challenges faced by the healthcare sector and the role of AI in addressing these challenges. It presents case studies and real-world applications to illustrate the effectiveness of these solutions and highlights the significance of data privacy in healthcare and methods to ensure secure data sharing and storage. Topics such as federated learning, homomorphic encryption, and blockchain technology are covered to demonstrate how AI can enhance data security without compromising patient privacy.This book will be an essential resource for anyone involved in the healthcare industry, offering practical solutions and fostering a more in-depth understanding of how AI can revolutionize cybersecurity in healthcare.

  • Confidential Computing

    Principles and Technology
    • 1st Edition
    • Jiewen Yao
    • English
    Confidential Computing: Principles and Technology comprehensively introduces the design principles and usage methods of TEE in terms of security models, lifecycle, attestation models, attack methods, and mitigation strategies, helping readers understand the security attributes and implementation points of confidential computing. At the same time, this book takes the TEE provided by the mainstream X86, ARM, and RISC-V architectures in the industry as examples to analyze the specific implementation methods and similarities and differences of hardware TEE, helping users deeply understand the advantages and disadvantages of different implementations, including inspiration for future TEE software and hardware designers.

  • Designing Technology for an Aging Population

    Towards Universal Design
    • 2nd Edition
    • Jeff Johnson + 1 more
    • English
    Designing User Interfaces for an Aging Population: Towards Universal Design, Second Edition explores the unique needs of older adults in today’s digital landscape. The authors examine this demographic’s wide-ranging sensory, cognitive, physical, and emotional characteristics, connecting each to the challenges and opportunities older users face with technology. Backed by hundreds of global research studies, the book provides actionable design guidelines to enhance satisfaction and usability for seniors. Updated to reflect the latest advances in AI, robotics, and speech recognition, it offers fresh examples and case studies to keep designers informed about emerging trends.Beyond demographics and design principles, the book highlights common pitfalls in technology that can reduce accessibility for older adults. It discusses strategies for involving seniors directly in research and design, ensuring their voices shape digital innovation. The authors emphasize that older users remain underserved and often overlooked in technology studies, urging designers to broaden their approach. By addressing these gaps, the book helps professionals create more inclusive interfaces that better serve a rapidly growing segment of the technology-using population.

  • Usability Testing Essentials

    Ready, Set ...Test!
    • 3rd Edition
    • Carol M. Barnum
    • English
    Usability Testing Essentials: Ready, Set ...Test!, Third Edition presents a practical, step-by-step approach to learning the entire process of planning and conducting a usability test. The book explains how to analyze and apply results and what to do when confronted with budgetary and time restrictions. This is the ideal book for anyone involved in usability or user-centered design—from students to seasoned professionals. Updated throughout, this book reflects the latest approaches, tools, and techniques needed to begin usability testing or to advance in this area.

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