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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.

  • 5G/5G-Advanced Networks

    Planning, Design, and Optimization
    • 2nd Edition
    • Christofer Larsson
    • English
    5G/5G Advanced Networks: Planning, Design and Optimization, 2nd edition, presents practical methods and algorithms for the design of 5G/5G Advanced Networks, covering topics that range from network resilience to how streaming data analytics can be used in network orchestration and slice optimization. The book addresses 5G optimization issues that are data driven, high dimensional and clustered The new edition is extensively revised and updated with 5 new chapters: - Information theory applied to design targets and performance limits - 5G+radio interface and radio planning - Heavy traffic analysis - Network slicing - Machine learning methods for offline analytics This new edition now gives a broad and complete foundation in network optimization techniques for all subsystems of the cellular network by: - Showing how to optimize networks end-to-end, including dependencies between subsystems - Presenting network tuning methods to improve capacity, service quality, energy efficiency, and resilience – in relation to cost - Presenting designs of network slices with multi-objective performance targets The new edition also includes new practical hints sections that show algorithm implementation (end-to-end and unit testing), solution validation, bench-marking, potential pitfalls, the use of open-source software, illustration of code objects with examples in Python. 5G/5G Advanced Networks: Planning, Design and Optimization, 2nd edition, is an invaluable resource for telecom operators and service providers, university researchers, graduate students and network planners interested in practical methods for optimizing networks for large performance improvements and cost savings.

  • Explainable AI for Communications and Networking

    Toward Responsible Automation
    • 1st Edition
    • Hatim Chergui + 2 more
    • English
    Explainable AI for Communications and Networking: Toward Responsible Automation gives a tour into the realm of Explainable Artificial Intelligence (XAI) and its impact on transparent and autonomous communication networks. The book equips readers from diverse backgrounds in communications and networking with a variety of XAI tools, metrics and frameworks to demystify AI systems through graphical taxonomies and mathematical formulations, which are further enriched with code snippets. The book also examines XAI implementation in wireless communications, network management, generative AI for telecom and cybersecurity, before presenting practical use-cases emanating from an industry perspective. Finally, the regulatory, ethical, and legal implications of XAI in telecommunications are reviewed, before concluding with key challenges and takeaways.

  • Explainable AI in Healthcare Imaging for Medical Diagnoses

    Digital Revolution of Artificial Intelligence
    • 1st Edition
    • Tanzila Saba + 2 more
    • English
    In an era where Artificial Intelligence (AI) is revolutionizing healthcare, Explainable AI in Healthcare Imaging for Precision Medicine addresses the critical need for transparency, trust, and accountability in AI-driven medical technologies. As AI becomes an integral part of clinical decision-making, especially in imaging and precision medicine, the question of how AI reaches its conclusions grows increasingly significant. This book explores how Explainable AI (XAI) is transforming healthcare by making AI systems more interpretable, reliable, and transparent, empowering clinicians and enhancing patient outcomes.Through a comprehensive examination of the latest research, real-world case studies, and expert insights, this book delves into the application of XAI in medical imaging, disease diagnosis, treatment planning, and personalized care. It discusses the technical methodologies behind XAI, the challenges and opportunities of its integration into healthcare, and the ethical and regulatory considerations that will shape the future of AI-assisted medical decisions.Key areas of focus include the role of XAI in improving diagnostic accuracy in fields such as radiology, pathology, and genomics and its potential to enhance collaboration between AI systems, healthcare professionals, and patients. The book also highlights practical applications of XAI in personalized medicine, showing how explainable models help tailor treatments to individual patients, and discusses how XAI can contribute to reducing bias and improving fairness in medical decision-making.Writ... by leading experts in AI, healthcare, and precision medicine, Explain[S3G1] able AI in Healthcare Imaging for Precision Medicine is an essential resource for researchers, clinicians, students, and policymakers. Whether you are looking to stay at the forefront of AI innovations in healthcare or seeking to understand how explainability can build trust in AI systems, this book provides the insights and knowledge needed to navigate the evolving landscape of AI in medicine. It invites readers to explore how XAI can revolutionize healthcare and precision medicine, shaping a future where AI is both powerful and trustworthy.

  • Digital Signal Processing

    Fundamentals, Applications, and Deep Learning
    • 4th Edition
    • Li Tan + 1 more
    • English
    Digital Signal Processing: Fundamentals, Applications, and Deep Learning, Fourth Edition introduces students to the fundamental principles of digital signal processing (DSP) while also providing a working knowledge that they take with them into their engineering careers. Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts. As such, this title is also useful as a reference for non-engineering students and practicing engineers.This book goes beyond DSP theory, showing the implementation of algorithms in hardware and software. Additional topics covered include DSP for artificial intelligence, adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as pulse-code modulation, µ-law, adaptive differential pulse-code modulation, multi-rate DSP, oversampling analog-to-digital conversion, sub-band coding, wavelet transform, and neural networks.

  • The Core Network for 5G Advanced

    • 2nd Edition
    • Stefan Rommer + 5 more
    • English
    The Core Network for 5G Advanced, Second Edition covers up to the 3GPP release 17 & 18 which includes the core network for 5G Advanced as well as a large number of new features added by 3GPP to expand the initial 5G Core specifications in rel-15/16. This new release includes A complete update to reflect developments in Releases 17 and 18, along with new chapters on Service Exposure, non-3GPP access, 3GPP access for new use cases, Edge computing, Industry and Enterprise features, Regulatory services and Network automation and AI/ML, an overview of the 5G Core Architecture, and much more.Examples of 5G network deployment options for different use cases are also included. Written by authors who are heavily involved in the development of 5G standards, and who have written several successful books on 4G and 5G Core Networks, this book provides an authoritative reference on the technologies and standards of the 3GPP 5G Core network.

  • Resilient Cooperative Control and Optimization of Multi-Agent Systems

    • 1st Edition
    • Zhi Feng + 3 more
    • English
    Resilient Cooperative Control and Optimization of Multi-Agent Systems addresses various resilient cooperative control and optimization problems of multi-agent systems that are vulnerable to physical failure and cyber attacks and consist of multiple decision-making agents that interact in a shared environment to achieve common or conflicting goals. Critical infrastructures, such as smart grids, wireless sensor network, multi-robot system, etc., are typical examples of multi-agent systems that consist of the large-scale physical processes which are monitored and controlled over a set of communication networks and computers.

  • Key Technologies for the 6G Air Interface

    • 1st Edition
    • Yifei Yuan + 4 more
    • English
    Key Technologies for the 6G Air Interface is an up-to-date reference, providing comprehensive, systematic, and in-depth descriptions of the enabling technologies for the 6G air interface. It includes recent advances, potential future developments, and associated specifications and standards.Simulation... and quantitative analyses are used to provide a comprehensive understanding of the performance potential of candidate technologies and their implementation impacts.Recent breakthroughs in fields such as information theory and multi-antenna technology are explained which enables readers to grasp the potential major technology revolution expected for the 6G air interface. Researchers working toward the 6G time frame, industry analysts, governments, and investors monitoring the migration of the mobile industry from 5G to 6G will gain insights from the discussions of the rapid technological developments that are expected, the challenges, the potential for future applications and opportunities, and the balance of innovation and feasibility.

  • Smart Traction Power Supply Systems for High-speed Railways

    • 1st Edition
    • Shibin Gao + 1 more
    • English
    Given the increasingly busy railway networks, increased axle loads, and railway speeds,modern railways and urban transport systems require smart and energy-efficient tractionpower supply products and solutions to ensure safe, reliable, and environmentallysusta... operations. Based on the latest development and achievements of China’straction power supply system, Smart Traction Power Supply Systems for High-speedRailways focuses on the latest research into smart traction power supply systems. Startingfrom the concept of smart technologies, it describes the structure and functions of smarttraction power supply systems, including smart power supply and transformation facilities,smart power supply operation and maintenance management systems, smart power supplydispatching systems, and high-speed communication networks. This book covers boththeory and the implementation, methods, and case studies of wide area protection, selfhealingreconstru... fault prognosis, health assessment, and power supply dispatching.

  • Resource Optimization in Wireless Communications

    Fundamentals, Algorithms, and Applications
    • 1st Edition
    • Lie-Liang Yang + 5 more
    • English
    Resource Optimization in Wireless Communications: Fundamentals, Algorithms, and Applications provides an easy-to-understand overview of the fundamentals of resource optimization, along with the latest algorithms and applications for emerging 5G, and beyond, wireless systems offering a variety of services. Additionally, it covers the principles and resource optimization of some systems expected in 6G.This book is suitable for courses in wireless communications that cover the principles of multicarrier and OFDM, the theory of resource allocation, power allocation, and subcarrier allocation, as well as the principles and optimization of OTFS, ISAC, reflective intelligent surface (RIS)-assisted mmWave, and user-centric cell-free wireless systems. It is also an ideal self-study reference text for researchers and industry engineers who wish to deepen their knowledge while researching and developing wireless systems for 6G.

  • 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.

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