Books in Electrical and electronic engineering

Sensors, Circuits, and Systems for Scientific Instruments

1st Edition
December 5, 2024
Soumyajit Mandal
English
Paperback
9 7 8 0 3 2 3 9 5 0 6 6 4
eBook
9 7 8 0 3 2 3 9 5 0 6 7 1

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
December 4, 2024
Martin Hafermann + 1 more
English
Hardback
9 7 8 0 4 4 3 3 1 4 6 4 3
eBook
9 7 8 0 4 4 3 3 1 4 6 5 0

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.

Advances in Optics of Charged Particle Analyzers: Part 1

1st Edition
Volume 232
November 20, 2024
Peter W. Hawkes + 1 more
English
Hardback
9 7 8 0 4 4 3 2 9 7 8 6 1
eBook
9 7 8 0 4 4 3 2 9 7 8 7 8

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

1st Edition
November 19, 2024
Flavio Dell'Acqua + 2 more
English
Hardback
9 7 8 0 1 2 8 1 8 8 9 4 1
eBook
9 7 8 0 1 2 8 1 8 8 9 5 8

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
November 12, 2024
Pramod Kumar Pal + 1 more
English
Hardback
9 7 8 0 3 2 3 9 9 1 0 9 4
eBook
9 7 8 0 3 2 3 9 9 1 1 0 0

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.

Brain-Computer Interfaces

1st Edition
November 5, 2024
Ayman S. El-Baz + 1 more
English
Paperback
9 7 8 0 3 2 3 9 5 4 3 9 6
eBook
9 7 8 0 3 2 3 9 5 4 4 0 2

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
November 2, 2024
Ayman S. El-Baz + 1 more
English
Paperback
9 7 8 0 3 2 3 9 5 4 3 7 2
eBook
9 7 8 0 3 2 3 9 5 4 3 8 9

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.

Semiconductor Metasurfaces, Part 1

1st Edition
Volume 115
October 25, 2024
Sarah Walden + 1 more
English
Hardback
9 7 8 0 4 4 3 2 9 6 8 6 4
eBook
9 7 8 0 4 4 3 2 9 6 8 7 1

Semiconductor Metamaterials: Part One, Volume 116 in a two-part series surveys the state-of-the-art in material platforms for optical metasurfaces. Chapters cover Metasurfaces from materials with 2nd-order nonlinearity, Light Emitting Metasurfaces based on Direct Bandgap Semiconductors, Tunable Metasurfaces enabled by Phase-Change Materials, Phase-Transition Materials for Thermal Tuning of Metasurfaces, Tunable Metasurface Devices based on Soft Matter, Infrared Metasurfaces, Polarization Sensing Platforms, UV/ Visible Metasurfaces, and Metasurfaces for Catalysis & Chemistry.

Nanolithography and Surface Microscopy with Electron Beams

1st Edition
Volume 231
October 25, 2024
Peter W. Hawkes + 1 more
English
Hardback
9 7 8 0 4 4 3 3 1 4 6 2 9
eBook
9 7 8 0 4 4 3 3 1 4 6 3 6

Nanolithography and Surface Microscopy with Electron Beams, Volume 231 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.

Machine Learning for Low-Latency Communications

1st Edition
October 10, 2024
Yong Zhou + 4 more
English
Paperback
9 7 8 0 4 4 3 2 2 0 7 3 9
eBook
9 7 8 0 4 4 3 2 2 0 7 4 6

Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three critical latency components: access latency, transmission latency, and processing latency. In particular, the book develops learning to estimate methods via algorithm unrolling and multiarmed bandit for reducing access latency by enlarging the number of concurrent transmissions with the same pilot length. Task-oriented learning to compress methods based on information bottleneck are given to reduce the transmission latency via avoiding unnecessary data transmission.Lastly, three learning to optimize methods for processing latency reduction are given which leverage graph neural networks, multi-agent reinforcement learning, and domain knowledge. Low-latency communications attracts considerable attention from both academia and industry, given its potential to support various emerging applications such as industry automation, autonomous vehicles, augmented reality and telesurgery. Despite the great promise, achieving low-latency communications is critically challenging. Supporting massive connectivity incurs long access latency, while transmitting high-volume data leads to substantial transmission latency.

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