HBK

Frequency Diverse Array Radar Signal Processing

Tue, 08 Sep 2026 08:37:16 GMT

Frequency diverse array (FDA) radar is a hot topic among the scientific and industrial communities in the fields of radar and signal processing, due to the advent of new and advanced active array architectures with multiple transmit and receive channels, high-speed and off-the-shelf processors, arbitrary digital waveform generators, and solid-state transmitters.

This book provides an overview of FDA radar signal processing algorithms and covers some of the most challenging application fields, including adaptive target detection and multi-dimensional parameter estimation, mainlobe deceptive jammer suppression, range-ambiguous clutter suppression, robust design against spectrum congestion and target steering vector mismatch, high-resolution and wide-swath imaging (HRWS) synthetic aperture radar (SAR), etc., exploiting array architectures such as multiple-input multiple-output (MIMO) configuration. Innovative and sophisticated tools from optimization theory such as gradient projection, coordinate descent, semidefinite relaxation, fractional programming, Dinkelbach's procedure, maximum block improvement (MBI), iterative approximation, and majorization-minimization are framed in the context of FDA signal processing.

The book balances a practical point of view with a rigorous mathematical approach corroborated by a wealth of numerical case studies. Additionally, the book has a cross-disciplinary approach because it tries to exploit cross-fertilization with recent research and discoveries in optimization theory and statistical signal processing. The material of the book is organized into nine chapters, each completed by an extensive list of references.

Frequency Diverse Array Radar Signal Processing offers an excellent theoretical reference and practical guide for systems engineers and their managers in the aerospace and defense sector, technical staff in procurement agencies and their technical advisors, students at the MSc and PhD levels in signal processing, electrical engineering, radar systems, and optimization theory, and people interested in advanced radar engineering.

Computational Electromagnetics for Metamaterial Modelling

Tue, 08 Sep 2026 08:34:59 GMT

Electromagnetic metamaterials are a class of artificial media that exhibit electromagnetic properties not found in naturally occurring materials. The field of metamaterials has advanced rapidly, driven by theoretical and experimental investigations conducted predominantly in the optical field. Subsequent progress in microwave and terahertz component design has further accelerated this development, and numerous applications have since emerged in antenna engineering and electromagnetic compatibility. As a result, there is a strong demand for accurate and computationally efficient numerical techniques that support the design of electromagnetic devices incorporating metamaterials while ensuring satisfactory performance and reliability.

This book is organised around three objectives. Firstly, it introduces the principal computational methods for electromagnetic field analysis and explains their fundamental principles together with selected practical guidance to avoid modelling errors. Secondly, it presents recently developed techniques for the efficient analysis of metamaterial structures. Thirdly, it offers concrete examples of how computational methods may be appropriately incorporated into the design and analysis of metamaterial devices.

Computational Electromagnetics for Metamaterial Modelling offers a systematic and practical guide to using advanced computational and mathematical techniques to model metamaterials. It will be of value to researchers in the field of electromagnetics and to those with an interest in electronic and magnetic materials and metamaterials.

Intelligence-driven Smart Technologies for Multimedia and Multimodal Data Security

Tue, 08 Sep 2026 08:31:26 GMT

Cutting edge technological advances in information and communication technologies (ICT), such as AI, blockchain, big data, IoT, sensing, edge computing, quantum computing, and distributed multimedia systems, have eased the process of transferring multimodal data and multimedia information over wide networks. AI techniques are already fruitful in protecting multimedia data such as deep learning for multimodal data or multimodal fusion. But the processing of huge sets of multimedia big data (including data from social media) requires reliable communication platforms since the rise of cyber threats have also been growing exponentially.

This edited book covers innovations, novel approaches, and methodologies in the domain of multimedia and multimodal data processing and security, including multimedia security authentication, AI-driven CPS security and resilience techniques, deep fake image detection, quantum approaches, and IoT-based intelligent systems for multimodal data analysis.

The book will be a useful reference for academic and industry researchers, lecturers and advanced students in computer science, networking, AI, multimedia digital content processing and security, cybersecurity, data protection and privacy; and to industry multimedia researchers and engineers interested in security and privacy challenges with a focus on AI and smart technologies. It will also of interest to specialists in digital rights, copyright and intellectual property.

Synergetic Energy Systems

Tue, 08 Sep 2026 08:29:22 GMT

A key aspect of energy system transformation is the transition from dependence on fossil fuels to using cleaner energy sources. The energy system that delivers this change will need a new architecture and will use new technologies; it will need to be digitally enabled and optimised for affordability, sustainability and resilience. The interactions, interdependencies and trade-offs between and amongst all parts of the energy system must be fully understood and managed. Planning and implementing this substantial change successfully will require a holistic, synergetic approach.

A synergetic energy system is one in which all components work together in a highly coordinated, mutually reinforcing way to optimise performance, efficiency, resilience, and sustainability. The ambition is to improve the overall efficiency of the energy system, cut greenhouse gas emissions, reduce resilience risks, and deliver affordable services for all.

This book provides a synergetic perspective on energy system transformation, with particular focus on energy storage and demand-side management (DSM) as two key drivers and enablers of change. By combining different storage solutions - such as batteries, flywheels, hydrogen, and thermal energy - with DSM measures tailored for industries, cities, and buildings, this approach can reduce dependence on external power imports and support integration of distributed intermittent clean generation.

Offering a nuanced understanding of the complex interactions between generation, transmission, distribution, and consumption, and bringing together diverse perspectives on the development of synergetic energy systems, this book aims to provide readers with breadth and depth of understanding. Through practical case studies from several countries, readers gain insights into how integrated energy systems can harness excess low-carbon energy, store it in multiple forms, and convert it into diverse types of energy to meet dynamic demands.

Written by and for innovators, academics and industry practitioners in the field, and curated by two expert editors, Synergetic Energy Systems: Integrating storage and demand-side management seeks to support informed discussion, encourage collaboration, and contribute to the ongoing development of integrated energy systems capable of meeting the environmental, economic, and societal challenges of the future.

Industry 6.0

Tue, 08 Sep 2026 08:26:48 GMT

Industry 6.0 is an emerging vision for industrialisation that builds upon previous industrial revolutions by integrating human intelligence with advanced technologies. The concept is characterised by the fusion of biological intelligence with cyber-physical systems to create self-regulating, emotionally aware, and evolution-capable machinery. Transformative technologies are already beginning to enable this shift, from digital twins, to advances in artificial intelligence, to the new generation of communications technologies including 6G and terahertz wireless networks.

This book defines, analyses and forecasts the principles, applications, designs, global standards and technical innovations that will form the backbone of Industry 6.0. Through a collection of scholarly and manufacturing focussed chapters, it offers a multi-disciplinary exploration of the evolution from intelligent automation to truly autonomous, co-evolving ecosystems of machines and humans. Contributions envision manufacturing systems as intelligent, interconnected, and self-evolving ecosystems capable of continuously adapting to changing environmental, economic, and societal conditions. Coverage includes enabling technologies, standards and protocols, and a selection of sectoral applications and case studies.

Offering an exploration of this developing field and its underpinning technologies, this book will be a valuable read for researchers, engineers and designers in various spheres of manufacturing, robotics and automation, and cyber-physical systems. Researchers in related fields that will be applied in Industry 6.0 - such as AI, quantum computing and virtual reality - will also find this book to be a useful resource.

Deep Learning Models in Medical Imaging

Tue, 08 Sep 2026 08:21:54 GMT

As healthcare technology moves towards a near-human level of performance in image recognition for screening, diagnosis, staging, and prognosis, this authored book lays the groundwork for understanding AI's transformative impact on the analysis of medical images.

The book introduces fundamental AI concepts - machine learning and deep learning - and outlines how they are applied in diagnostic automation. Readers are introduced to common imaging techniques like X-ray, MRI, CT, and ultrasound, as well as their integration into clinical settings. Historical milestones, current technologies, and deployment challenges are discussed alongside the associated legal, ethical, and bias-related issues.

The book covers the complete pipeline from image acquisition to model deployment in clinical settings. Special focus is given to lightweight, explainable AI (XAI) systems suitable for resource-constrained healthcare environments.

The authors explore diagnostic applications such as diabetic retinopathy screening using fundus images, skin lesion classification, interpretation of X-ray images, mammography, and brain scans. Novel techniques including federated learning, self-supervised models, and domain adaptation for diagnostic robustness are thoroughly explored, highlighting the global significance of AI-driven healthcare.

Deep Learning Models in Medical Imaging: Diagnostic innovations and clinical intelligence is suitable for an audience of AI researchers in healthcare, biomedical engineers, diagnostic staff and others working in medical imaging and data science.

Telemedicine Systems for Unreached Communities

Tue, 08 Sep 2026 08:19:12 GMT

Telemedicine - broadly defined as the use of electronic information and communication technologies to deliver healthcare services at a distance - offers an opportunity to create more equitable healthcare provision for unreached communities. Through the integration of telecommunications technologies, remote diagnostics, electronic health systems, mobile health platforms, and virtual consultation models, telemedicine enables healthcare providers to deliver clinical services across significant geographic and socioeconomic divides.

Successful telemedicine systems are shaped by a broad range of interdependent factors including policy environments, digital infrastructure, healthcare workforce capacity, cultural contexts, institutional readiness, governance frameworks, economic sustainability, and community trust. This book is an attempt to learn from both the successes and the failed attempts to deploy telemedicine systems. It brings together clinicians, technologists, public health professionals, health equity researchers, and community advocates who have worked on the frontlines of telemedicine implementation in settings where the need is greatest and the obstacles are most formidable.

The authors offer up a multidisciplinary exploration of telemedicine implementation focusing particularly on the operational, ethical, infrastructural, organizational, and social dimensions associated with delivering healthcare in low-resource settings. Their collective testimony drawn from Pacific Oceania, East Africa, South Asia, Latin America, and the margins of wealthy nations constitutes a rigorous, field-tested account of what it takes to make telemedicine work for populations that standard health systems have left behind.

Telemedicine Systems for Unreached Communities: Context, challenges and opportunities is intended for practitioners and programme managers who are working in the field, for researchers and academics who study health systems and health equity, and for the policymakers, funders and technology innovators who make decisions about where healthcare resources flow and how systems are designed.

Electromagnetic Compatibility (EMC) Pocket Guide, 2nd Edition

Thu, 30 Jul 2026 10:16:01 GMT

Every electrical product designed and manufactured worldwide must meet electromagnetic compatibility (EMC) regulations, and yet, EMC compliance staff levels have been cut in companies large and small. The Electromagnetic Compatibility (EMC) Pocket Guide, Second Edition: Key EMC facts, equations and data is the first place to look while designing for EMC and your guide to thwarting electromagnetic interference.

The EMC pocket guide contains the essential topics and reference materials in EMC that should always be at the fingertips (or in a pocket) of an EMC engineer. It provides guidelines on the theory of EMC, the practical aspects of product design for compliance and how to approach an EMI failure with a few basic troubleshooting techniques to determine the root cause. The guide contains a full glossary and list of formulae. It is not intended to go too deeply into individual topics but to cover the topic adequately enough to lower the risk for compliance failure.

This newly-revised Second Edition is now printed in color and has had all content reviewed and reference material updated. In addition, material on several topics, including real-time spectrum analysis and near-field and far-field shielding has been added.

Ambient Intelligence for 6G

Wed, 29 Jul 2026 09:24:00 GMT

Ambient intelligence (AmI) refers to environments that are sensitive, adaptive, and responsive to human presence and needs. By weaving AI, sensors, energy-harvesting technologies and computing into everyday surroundings, AmI systems act proactively, rather than waiting for commands, to make spaces like homes and workplaces more efficient and user-centric. By anticipating our needs, leveraging artificial intelligence (AI), and capturing and processing data through sensors, processors, and actuators, which are unobtrusively embedded throughout the environment, ambient systems provide seamless, connected, and uninterrupted everyday experiences that require minimal user intervention.

6G systems must be designed to meet these demands, providing seamless access to intelligent features from any point within the networks. But achieving Aml requires maintaining specific quality of service standards to meet key performance indicators such as latency, data rate, reliability, and availability. This edited book addresses the challenges of effectively integrating Aml into 6G networks, as well as emerging and recent developments, advances, and future directions.

Researchers from academia and industry working in communication engineering, sensing and embedded systems, with a focus on 5G/6G, and Aml, will find this reference most useful. It will also be of interest as recommended reading to lecturers and postgraduate students in wireless communication, sensing, electronics and computer science.

Offshore Energy Hubs

Wed, 29 Jul 2026 09:20:23 GMT

Marine areas offer substantial wind and solar resources, with the additional advantage of avoiding local acceptance challenges. The power generated from offshore and floating wind and solar farms needs to be managed, transported and connected to the shoreside grids, with an eye on power quality and the supply of system support services. This requires both power electronics equipment, as well as storage units, installed in proximity to the offshore generation, on artificial islands. Several organisations are currently planning or developing such offshore energy hubs, artificial islands or floating structures, offering wind energy distribution connections, housing power electronics, HV connectors, spare parts and repair facilities, as well as storage units or electrolysers.

This book offers an overview of offshore power hub technologies. Focusing on the North and Baltic Seas and also the US, individual chapters cover the civil works, hub topologies, renewable generation and system support services, storage and hydrogen technologies, HVAC and HVDC infrastructure, stability of offshore multi-energy systems, black start capability from offshore wind, economic and policy aspects for multinational projects, and future challenges.

Offshore Energy Hubs: Generation technologies, offshore grids, market economics and civil works offers systematic and thorough coverage of this developing field for researchers and practitioners in academia, industry, development firms and utilities involved with offshore energy infrastructure and HV transmission.

Van der Waals Heterostructures and Twistronics

Wed, 29 Jul 2026 09:17:20 GMT

Van der Waals Heterostructures and Twistronics: Advances in two-dimensional quantum materials offers an accessible and comprehensive exploration of one of the fastest-growing areas of modern materials science and quantum technology. As research into atomically thin materials continues to reshape the future of electronics and quantum devices, this book examines how atomically thin materials such as graphene, transition metal dichalcogenides, MXenes and related layered systems can be engineered to exhibit extraordinary quantum phenomena through interlayer coupling and twist-angle control.

The book introduces the foundations of two-dimensional quantum materials before progressing to the synthesis, characterization and theoretical understanding of twisted heterostructures and moiré superlattices. It covers key topics including flat-band superconductivity, correlated electron states, excitonic and valleytronic phenomena, quantum magnetism, spin-dependent transport and advanced spectroscopic and computational techniques. Emphasis is also placed on practical applications, highlighting the growing impact of twisted 2D materials in nanoelectronics, optoelectronics, spintronics, quantum computing, catalysis and clean-energy technologies.

Connecting physics, materials science and engineering, this book is designed for graduate students and researchers working in quantum materials and nanotechnology. It will also serve as a valuable reference for scientists and engineers seeking a clear and up-to-date guide to the emerging science and technological promise of twisted van der Waals heterostructures.

Active and Passive Protection from Space Radiation

Wed, 08 Jul 2026 10:41:39 GMT

The space radiation environment is one of the main limitations of human and robotic exploration of space beyond low Earth orbit. This book presents, in a technical reference and engineering handbook format, the underlying principles, architectures, and integration challenges associated with protecting spacecraft and astronauts from the complex radiation environment of deep space. It is intended to serve as a practical guide for researchers, engineers, and mission planners seeking to understand how and why various shielding approaches function, such as active magnetic fields, passive materials, and bioengineered countermeasures; how they may fail, and how they can be integrated into coherent, mission-tailored protection systems.

Rather than focusing narrowly on any single technology, the text synthesizes multiple disciplines: electromagnetics, materials science, and plasma physics, each examined through the lens of systems engineering. It explores the governing physics of galactic cosmic rays and solar particle events, the performance limits of superconducting and resistive magnetic field generators, the trade-offs inherent in hydrogen-rich and boron-infused composites, the generation and mitigation of secondary radiation. A central emphasis is placed on model-based systems engineering (MBSE) methodologies, which provide the connective tissue for integrating these diverse technologies into mission-ready architectures.

Although grounded in rigorous modeling and simulation, the book is not intended as an academic treatise full of derivations and proofs. Instead, it strives to bridge theory and application, offering a clear framework for practitioners to diagnose, model, and mitigate radiation risks in spacecraft design. References are provided throughout to enable readers to pursue specialized areas of interest.

Beyond its coverage of shielding solutions, this book provides a framework for thinking in an integrated systems approach rooted in physics, guided by engineering pragmatism, and oriented toward the long-term sustainability of human presence beyond Earth's magnetosphere.

Written by two experts in the field, Active and Passive Protection from Space Radiation: A systems engineering approach offers an opportunity to learn from authors with broad cross-disciplinary experience and hands-on knowledge of space programs. Professionals, researchers and graduate students working in space systems engineering and mission architecture, aerospace radiation environments and shielding design, model-based systems engineering and digital mission modelling, will find this book worth reading.

Advances and Future Capabilities in RFID Technology

Wed, 08 Jul 2026 10:39:11 GMT

Radio frequency identification (RFID) has been used for decades to tag and track objects in both industrial and non-industrial settings. However, the use of this technology has now expanded to offer a wider range of solutions. The idea behind this book stems from the desire to recount everything that has been achieved so far with RFID technology, and to explore the future possibilities of using this technology for applications beyond identification.

Starting from the basic concepts and measurements of the main parameters, researchers and practitioners can find a clear and effective approach to this standardized technology for implementing UHF-RFID localization solutions with and sensing systems for various physical quantities. Looking to the future, two fundamental evolutionary paths for classical systems are presented: chip-less systems and non-linear systems. Finally, the most innovative applications of the moment are presented, to stimulate interest in understanding what else can be done with RFID and thus identify future revolutionary or "killer" applications. In the context of RFID, the first killer application, which led to mass adoption, was item-level retail traceability. Item-level-tagging is described as a fundamental breakthrough in the large-scale adoption of RFID technology. The challenge of the future is to seek out and discover new killer applications.

Advances and Future Capabilities in RFID Technology is aimed at advanced students and researchers in signal processing, microwaves and electromagnetics working on RFID applications.

Floating PV and Integration with Hydropower

Wed, 08 Jul 2026 10:34:05 GMT

How can large-scale FPV-hydropower hybrid infrastructures remain safe, resilient, and operationally meaningful under increasing environmental, technical, economic, and climatic uncertainty? This book looks beyond the technical performance of floating photovoltaics (FPV) plants to answer this wide-ranging and cross-disciplinary question.

Rather than treating system robustness solely as a narrow control-theoretic property, the work advances a system-level interpretation in which stability emerges from coordinated design across physical structures, power-electronic architectures, hydrological operation, environmental safeguards, economic mechanisms, operational intelligence, and governance frameworks.

Floating PV and Integration with Hydropower is presented in two volumes, providing comprehensive and flexible coverage of this essential topic. Volume 1 focuses on foundations, principles and design, and Volume 2 on hybrid integration, control and advanced technologies.

In Volume 1, the chapters progress from foundational context and FPV system principles to rigorous modelling, inverter topology and control, and project-level implementation. Two real-world FPV-hydropower case studies provide design-grade evidence, including electrical collection and protection philosophy, site investigation constraints, and mechanical anchoring and mooring foundations.

Volume 2 then expands stability beyond the electrical domain to encompass economic boundedness, mechanical boundedness, socio-environmental boundedness, and policy-level stabilisation. Finally, real-time operational validation is demonstrated through artificial intelligence, SCADA integration, and digital-twin concepts, showing how bounded trajectories and adaptive decision-making can be implemented in practice.

By treating FPV-hydropower hybridisation as an integrated infrastructure problem, this work provides both a practitioner-oriented design reference and a research-facing framework for enabling stable, intelligent, and sustainable energy transitions in water-rich regions.

Floating PV and Integration with Hydropower

Wed, 08 Jul 2026 10:31:47 GMT

AI Explainability and Governance in Smart Energy Systems

Wed, 08 Jul 2026 10:29:49 GMT

Artificial intelligence may have the potential to deliver more efficient, reliable and sustainable energy systems, particularly by helping to manage the complexity of distributed generation and demand-side management. However, stakeholders expect interpretability and explainability, and AI tools must also be transparent, secure and trustworthy. Explainable AI (XAI) models are intended to make AI algorithms more transparent and understandable without reducing their performance and efficiency.

When AI is used in the energy sector, evaluating huge and complex datasets and making decisions to predict generation or consumption patterns, to help controlling voltage and frequency, or to control wind turbines and solar systems, owners and operators need to know and trust the algorithms to be willing to relinquish control of their assets to them.

AI Explainability and Governance in Smart Energy Systems is a comprehensive reference, written by an international team of experts. Chapters cover AI explainability in energy systems, integrated forecasting of generation and load, energy storage, integration of IoT and edge computing, AI explainability with blockchain, AI-driven energy markets, policy, and governance, case studies, human-AI collaboration, climate resilience, ethical and social implications, ethical considerations and future perspectives.

The book is intended for an audience of academic researchers in smart energy technology and XAI, energy markets and energy management, as well as for advanced students in energy systems-related subjects.

Reliability of Photovoltaic Power Systems

Wed, 08 Jul 2026 10:27:06 GMT

Solar photovoltaic (PV) technology has moved from a peripheral generation option to a structural element of the modern electricity system. This shift in scale changes the central analytical question. When PV occupies only a marginal share of electricity supply, the dominant concern is deployment. Once PV becomes deeply embedded in the power system, however, the more consequential question is whether the installed fleet can deliver energy dependably over long operating lifetimes and under diverse field conditions.

In this context, reliability is not a secondary technical attribute, but a governing determinant of energy yield, economic value, and confidence in long-term performance projections. This book approaches PV system reliability as a multiscale and interdisciplinary question, examining the reliability of PV power systems from device to system level, and including context on availability and maintainability. An international team of expert editors and contributors seek to answer the following questions: how reliable are PV systems in practice, how should that reliability be modelled, and which design, testing, monitoring, and operational strategies can most effectively enhance it?

Chapters cover reliability concepts and definitions, fault tree modelling, reliability modelling and design, effects of power converters on reliability, sun tracker systems, failures modes and mechanisms, maintenance of PV systems, and techno-economic analysis.

Reliability of Photovoltaic Power Systems offers systematic and practical coverage of PV system reliability for researchers in academia and industry, experts at grid operators, power plant designers and planners, PV inverter manufacturers and power system operators focuses on the reliability of PV power systems.

Agentic AI

Wed, 08 Jul 2026 10:17:54 GMT

Agentic AI refers to autonomous systems driven by large language models (LLMs) that act as intelligent agents, capable of perceiving environments, setting goals, creating multi-step plans, making decisions, and executing complex, multi-step workflows with minimal human oversight. Unlike passive chatbots and traditional AI tools that simply answer prompts, agentic AI actively reasons, uses digital tools, and adapts processes across various applications. It is rapidly emerging as the next major paradigm in automation, AI engineering, and enterprise transformation.

In this comprehensive and industry-aligned co-authored reference, the authors explain how agents differ from conventional AI, how they are architected internally, how they collaborate in multi-agent systems, how to design, deploy, and govern them in real-world environments. They cover agentic AI foundations, design patterns, advanced multi-agent systems architecture, deployment models, testing and governance. The book blends academic clarity with industry relevance, making it ideal for researchers exploring agentic behaviour and multi-agent design; industry professionals implementing enterprise AI workflow; advanced university students and lecturers in AI, automation, and intelligent systems; and students preparing for the next wave of AI jobs and research directions.

The authors have provided a wealth of supplementary material with 60+ supporting YouTube videos for learners, 24 hands-on projects with accompanying GitHub repositories, and QR codes integrated throughout the book for seamless access.

Adaptive Manufacturing for SMEs

Wed, 08 Jul 2026 10:15:48 GMT

Small and medium sized enterprises (SMEs) face growing pressure to modernise in response to volatile market demand, increasing product complexity, and rapid technological change. At the same time, they are expected to improve sustainability performance, strengthen data transparency, and respond more quickly to operational disruption. Although Industry 4.0 has introduced significant opportunities through cyber-physical integration, connectivity, and data-driven decision-making, many SMEs continue to struggle with implementation. Financial constraints, legacy equipment, limited internal capabilities, and the risks associated with poorly sequenced adoption often prevent transformation from progressing beyond isolated initiatives. Flexible and responsive manufacturing systems (FRMS) represent the performance objective of this transition, but for SMEs the central challenge is not simply adopting advanced technologies; it is doing so through a structured and feasible pathway. This book positions that pathway as an incremental and decision-supported transformation process tailored to the operational realities of SMEs.

To address this challenge, the book proposes a unified and practical transformation framework built around three interconnected strategies. The first is digital retrofitting, which enables SMEs to incrementally upgrade legacy systems through Industry 4.0 technologies without requiring full-scale replacement. The second is maintenance strategy selection, which applies structured multi-criteria decision-making methods to improve operational reliability, responsiveness, and asset resilience within dynamic manufacturing environments. The third is digital servitisation, which supports the transition from product-based offerings to service-oriented business models capable of generating new value from digitally enabled operations. Taken together, these strategies form a coherent transformation logic in which retrofitting generates data, maintenance strategy converts that data into resilience, and servitisation leverages that resilience for strategic growth. The book also addresses broader themes associated with industry 5.0, including sustainability, organisational readiness, cybersecurity, and human-centred industrial transformation.

The book will be key reading for graduate students, educators, and academic researchers in industrial engineering, manufacturing systems and digital transformation.

Cryptography for Intelligent Healthcare Systems

Wed, 08 Jul 2026 10:13:45 GMT

Intelligent healthcare systems refer to the use of technologies, such as IoT, big data, AI, and machine learning, to improve the quality and efficiency of healthcare delivery. Healthcare data is both valuable and sensitive, and patients' data is increasingly at risk from cyber attacks on medical devices and critical healthcare infrastructure, posing serious risks to patient health and safety or compromising sensitive user data. As healthcare provision relies upon numerous interconnected systems, to facilitate the diagnosis or treatment of patients' health conditions, these systems rely on advanced cryptography to secure and protect sensitive user information.

This edited book in two volumes covers advanced cryptography for intelligent healthcare systems, examining robust cryptography-empowered frameworks and considering external threats, inside vulnerabilities, well-defined risks, and the resilience and robustness of the security architecture.

Volume 1 addresses foundations and emerging architectures, including legacy and modern cryptography, advanced cryptographic frameworks, including examples utilising AI, and explores the security of emerging systems and environments such as IoT and the internet-of-medical-things, 6G networks and multi-network emergency communication systems.

Volume 2 focuses on privacy, governance and deployment. Chapters cover device-class mappings, protocol profiles and deployment playbooks; FHIR-based systems using authenticated encryption, privacy-preserving federated learning and audit-grade integrity for intelligent matching systems; zkSNARK benchmark frameworks; ethical concerns and governance challenges, ethical-by-design cryptography; patient data autonomy; and security beyond cryptography.

Including case studies, highlighting critical lessons and design recommendations, these volumes provides researchers and academics with new insights into the real-world scenarios of the design, development, deployment, application, and management of cryptographic algorithms in modern healthcare systems.