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Elsevier

Books in Electrical and electronic engineering

This portfolio encompasses comprehensive topics in circuit design, signal processing, power systems, telecommunications, and embedded systems. It offers researchers and engineers cutting-edge insights into emerging technologies such as renewable energy, AI, IoT, and automation. Providing both theoretical depth and practical innovation, these resources support the development of efficient, intelligent electrical and electronic systems across industries.

  • Network Coding

    From Principles to Practice
    • 1st Edition
    • Juan A. Cabrera Guerrero + 1 more
    • English
    Network Coding: From Principles to Practice explains the fundamentals of network coding from a practical perspective, helping engineers in industry and researchers in academia wanting to deploy network coding in their simulations and real-life applications. The book takes a practical, problem-based learning approach to network coding using guided software simulations. With this book the reader will:Understand the fundamental principles behind network codingLearn how to implement a network coding software libraryUse a network coding library to test the fundamental principlesBe able to produce code that can quickly be adapted for their specific researchUnderstand the reasoning of more advanced and latest-researched network coding topics such as reliable distributed storage, partial packet recovery, etc.Network Coding: From Principles to Practice is suitable for Undergraduates, post-graduates, academic researchers and engineers in industry who want to understand and implement the fundamental principles of network coding.

  • Digital Twins and RF imaging for Wireless Networks

    • 1st Edition
    • George C. Alexandropoulos + 1 more
    • English
    Digital Twins and RF imaging for Wireless Networks presents the concept of digital twins, covering topics such as efficient estimation of high-dimensional channel matrices, real-time predictive maintenance, distributed learning for smart city applications, energy-efficient sensing and communications for the Internet of Things (IoT), autonomous vehicles, and adaptive channel coding for network task offloading. The second part focuses on radio-frequency imaging, discussing innovative approaches such as neural network designs for electric field integral equations, dynamically reconfigurable metasurface antennas, reconfigurable intelligent surfaces, extremely large antenna arrays in the near-field region, wideband multi-antenna radar, multimodal sensing and point cloud processing, and much more.Each chapter offers cutting-edge insights and methodologies that are expected to drive the future of wireless communication and sensing technologies. The rising demands of novel wireless communication applications, dynamic operating environments, and intricate traffic and user patterns are accelerating the transformation of wireless networks into distributed platforms that integrate communications, sensing, and computing to enable immersive functionalities. Digital twins and radio-frequency imaging are two rapidly evolving technologies poised to revolutionize sixth-generation (6G) and beyond wireless networks.

  • Intelligent Reflecting Surfaces for 6G

    Wireless Power Transfer and Enhanced Communications
    • 1st Edition
    • Zhengyu Zhu + 3 more
    • English
    Intelligent Reflecting Surfaces for 6G: Wireless Power Transfer and Enhanced Communications provides a comprehensive understanding of how intelligent reflecting surface will shape the future of 6G wireless communication. The book addresses key challenges in enhancing signal propagation, improving energy efficiency, and ensuring secure communication in complex 6G environments. By covering breakthrough technologies such as hybrid-field communication, wireless energy harvesting, and physical layer security, this book aims to equip readers with practical solutions for overcoming the limitations of current systems and achieving sustainable, high-performance 6G networks.

  • Game Theory and Deep Learning

    Fundamentals and Applications
    • 1st Edition
    • Lina Bariah + 6 more
    • English
    This groundbreaking book is the first to establish a clear and comprehensive link between game theory and deep learning, demonstrating the critical importance of this interplay for solving key technological challenges such as those found in future wireless and energy networks. It delves into the latest connections between game theory and generative AI, including large language models, showcasing how these advanced concepts can be harnessed to address complex real-world problems. Readers will gain a deep understanding of how these two powerful fields intersect and the practical applications of this knowledge, making it an essential resource for anyone looking to stay at the forefront of technological innovation.With this book the reader will be able to: Develop a solid foundation in game theory and understand interactive scenarios in both engineering and everyday life; Effectively apply their knowledge to practical problems, including resource allocation, security, and influence maximization; Design strategies that optimally exploit available information through successive optimization, reinforcement learning, deep learning, and generative AI techniques.

  • Semiconductors and Semimetals

    • 1st Edition
    • Volume 123
    • English
    Semiconductors and Semimetals series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

  • Diagnostic Imaging Systems

    • 1st Edition
    • Ayman S. El-Baz + 1 more
    • English
    Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature.The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human–machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions.To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics.Volume 3 provides a comprehensive review of diagnostic imaging systems and technologies, including brain tumor characterization and classification techniques, tumor segmentation using AI and deep neural networks, dynamic brain imaging analysis, and functional brain imaging. The authors discuss existing challenges in the domain of diagnostic imaging systems and suggest possible research directions.

  • BSIM–SOI Industry-Standard Compact Model

    Surface Potential-Based FET Model for RFIC Design
    • 1st Edition
    • Chetan Kumar Dabhi + 5 more
    • English
    BSIM–SOI Industry-Standard Compact Model: Surface Potential-Based FET Model for RFIC Design provides complete coverage of compact modeling and design techniques specific to SOI transistors. The book is designed to be the first comprehensive guide that thoroughly explains the industry-standard BSIM-SOI compact model, along with the unique modeling and RF design techniques necessary for the accurate extraction and implementation of the industry standard BSIM-SOI model. This book will be a valuable reference for the expanding field of SOI technology, catering specifically to circuit designers, device engineers, academic researchers, and students.This book will equip designers, engineers, and researchers with the knowledge and tools required to optimize SOI-based circuit performance and system integration. The book explains fundamental surface-potential calculations and addresses various real device effects, such as floating body, self-heating, dynamic depletion effects, and layout influences to accurately replicate realistic device behavior. Additionally, the step-by-step parameter extraction procedures for the BSIM-SOI model are outlined, and the results of benchmark tests are also presented.

  • 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 cyber security. The opening chapter compares Industry 4.0 to previous industrial ages. The subsequent seventeen chapters discuss each respective technology, considering its classification, advantages, disadvantages, roles, applications and the 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, and interdisciplinary coverage that connects digital twins with the other technologies, offering applied case studies and examples that bridge the gap between academic research and industrial implementation.

  • Brain Pathologies and Disorders

    • 1st Edition
    • Ayman S. El-Baz + 1 more
    • English
    Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature.The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human–machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions.To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics.Volume 4 provides a comprehensive review of brain pathologies and disorders, including Parkinson’s Disease, Alzheimer’s Disease, Attention-Deficit/Hy... Disorder, and Tourette’s Syndrome. The authors discuss existing challenges in the domain of diagnosis, detection, analysis, treatment modalities, as well as possible research directions.

  • Humanizing Artificial Touch

    Skin, Sensing, and Structures
    • 1st Edition
    • John-John Cabibihan
    • English
    Humanizing Artificial Touch: Skin, Sensing, and Structures contains recent advances in artificial skin modelling and robotic tactile sensing technologies, integrating these in the structure of an artificial hand mimicking its important features. This book will give special treatment to the relationship between the artificial skin material and embedded tactile sensors, describing how artificial skin and embedded sensors can be designed and constructed using 3D printing technologies with case examples on how these were created for amputees achieve a more a natural and rich human-robot tactile interaction.This book is oriented towards students, researchers, and clinical practitioners who are working in the design and construction of artificial hands for prosthetics and social robotics.

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