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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.

    • Machine Learning

      From the Classics to Deep Networks, Transformers, and Diffusion Models
      • 3rd Edition
      • Sergios Theodoridis
      • English
      Machine Learning: From the Classics to Deep Networks, Transformers and Diffusion Models, Third Edition starts with the basics, including least squares regression and maximum likelihood methods, Bayesian decision theory, logistic regression, and decision trees. It then progresses to more recent techniques, covering sparse modelling methods, learning in reproducing kernel Hilbert spaces and support vector machines. Bayesian learning is treated in detail with emphasis on the EM algorithm and its approximate variational versions with a focus on mixture modelling, regression and classification. Nonparametric Bayesian learning, including Gaussian, Chinese restaurant, and Indian buffet processes are also presented. Monte Carlo methods, particle filtering, probabilistic graphical models with emphasis on Bayesian networks and hidden Markov models are treated in detail. Dimensionality reduction and latent variables modelling are considered in depth. Neural networks and deep learning are thoroughly presented, starting from the perceptron rule and multilayer perceptrons and moving on to convolutional and recurrent neural networks, adversarial learning, capsule networks, deep belief networks, GANs, and VAEs. The book also covers the fundamentals on statistical parameter estimation and optimization algorithms.Focusing on the physical reasoning behind the mathematics, without sacrificing rigor, all methods and techniques are explained in depth, supported by examples and problems, providing an invaluable resource to the student and researcher for understanding and applying machine learning concepts.
    • Sensors, Circuits, and Systems for Scientific Instruments

      Fundamentals and Front-Ends
      • 1st Edition
      • Soumyajit Mandal
      • English
      Sensors, Circuits, and Systems for Scientific Instruments: Fundamentals and Front-Ends presents a unified treatment of modern measurement systems by integrating relevant knowledge in sensors, circuits, signal processing, and machine learning. It also presents detailed case studies of several real-life measurement systems to illustrate how theoretical analysis and high-level designs are translated into working scientific instruments.The book is meant for upper-level undergraduate and beginning graduate students in electrical and computer engineering, applied physics, and biomedical engineering. It is designed to fill a gap in the market between books focused on specific components of measurement systems (semiconductor devices, analog circuits, digital signal processing, etc.) and books that provide a high-level "survey" or "handbook"-type overview of a wide range of sensors and measurement systems.
    • Semiconductors and Semimetals, Part 2

      • 1st Edition
      • Volume 117
      • English
      This two-part book Volume on Semiconductor Metamaterials will survey the state-of-the-art in material platforms for optical metasurfaces. Part 1 will focus on materials for active metasurfaces, including tuning and sensing applications and will include chapters on Phase-Change Materials, Phase-Transition Materials and Soft Matter materials, as well as metasurface materials for polarization sensing, catalysis and chemical reactions. Part 2 will focus on static metasurfaces for light generation and detection. Materials employed for light emitting metasurfaces, metasurfaces operating in the ultraviolet, visible and infrared regions and metasurfaces from c2 materials will all be discussed.
    • Semiconductors and Semimetals

      • 1st Edition
      • Volume 116
      • English
      Boron Nitride, Volume 115 in the Semiconductors and Semimetals series, highlights new advances in the field, with this new volume presenting interesting chapters that are written and contributed to by an international board of authors.
    • Advances in Optics of Charged Particle Analyzers: Part 1

      • 1st Edition
      • Volume 232
      • English
      Advances in Optics of Charged Particle Analyzers: Part 1, Volume 232 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains. Specific chapters cover Introduction to inverse problems in electron microscopy, Directional sinogram inpainting for limited angle tomography, Strain tomography of crystals, FISTA with adaptive discretization, Total variation discretization, and Reconstruction with a Gaussian Dictionary.
    • Handbook of Diffusion MR Tractography

      Imaging Methods, Biophysical Models, Algorithms and Applications
      • 1st Edition
      • Flavio Dell'Acqua + 2 more
      • English
      Handbook of Diffusion MR Tractography: Imaging Methods, Biophysical Models, Algorithms and Applications presents methods and applications of MR diffusion tractography, providing deep insights into the theory and implementation of existing tractography techniques and offering practical advice on how to apply diffusion tractography to research projects and clinical applications. Starting from the design of MR acquisition protocols optimized for tractography, the book follows a pipeline approach to explain the main methods behind diffusion modeling and tractography, including advanced analysis of tractography data and connectomics.An extensive section of the book is devoted to the description of tractography applications in research and clinical settings to give a complete picture of tractography practice today. By focusing on technology, models, and applications, this handbook will be an indispensable reference for researchers and students with backgrounds in computer science, mathematics, physics, neuroscience, and medical science.
    • Movement Disorders in Neurology and Systemic Disorders

      • 1st Edition
      • Volume 8
      • English
      International Review of Movement Disorders series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.
    • Integrated Sensing and Communications for Future Wireless Networks

      Principles, Advances and Key Enabling Technologies
      • 1st Edition
      • Aryan Kaushik
      • English
      Integrated Sensing and Communications for Future Wireless Networks: Principles, Advances and Key Enabling Technologies presents the principles, methods, and algorithms of ISAC, an overview of the essential enabling technologies, as well as the latest research and future directions. Suitable for academic researchers and post graduate students as well as industry R&D engineers, this book is the definitive reference in this interdisciplinary field that is being seen as a technology to enable emerging applications such as vehicular networks, environmental monitoring, remote sensing, IoT, smart cities.Importantly, ISAC has been identified as an enabling technology for B5G/6G, and the next-generation Wi-Fi system. ISAC brings together a range of technologies: radar sensing, reconfigurable intelligent surfaces, holographic surfaces through to high frequency terahertz, PHY security, channel signaling, multiple access, and machine learning.
    • Brain-Computer Interfaces

      • 1st Edition
      • Ayman S. El-Baz + 1 more
      • English
      Advances in Neural Engineering: Brain-Computer Interfaces, Volume Two covers the broad spectrum of neural engineering subfields and applications. The set provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The book's authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including sensory and motor information, stimulation of the neuromuscular system to control muscle activation and movement, analysis and visualization of complex neural systems, and more.
    • Signal Processing Strategies

      • 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 1 provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions.