By specializing in a vertical market, companies can better understand their customers and bring more insight to clients in order to become an integral part of their businesses. This approach requires dedicated tools, which is where artificial intelligence (AI) and machine learning (ML) will play a major role. By adopting AI software and services, businesses can create predictive strategies, enhance their capabilities, better interact with customers, and streamline their business processes. This edited book explores novel concepts and cutting-edge research and developments towards designing these fully automated advanced digital systems. Fostered by technological advances in artificial intelligence and machine learning, such systems potentially have a wide range of applications in robotics, human computing, sensing and networking. The chapters focus on models and theoretical approaches to guarantee automation in large multi-scale implementations of AI and ML systems; protocol designs to ensure AI systems meet key requirements for future services such as latency; and optimisation algorithms to leverage the trusted distributed and efficient complex architectures. The book is of interest to researchers, scientists, and engineers working in the fields of ICTs, networking, AI, ML, signal processing, HCI, robotics and sensing. It could also be used as supplementary material for courses on AI, machine and deep learning, ICTs, networking signal processing, robotics and sensing.

Capacitors are passive electrical components that store energy in an electric field. Applications include electric power conditioning, signal processing, motor starting, and energy storage. The maximum charge a capacitor can hold largely depends on the dielectric material inside. That material is the enabler for the performance. Ongoing development in fields such as high-power electronics, renewable energy, hybrid electric vehicles and electric aircraft, is posing an urgent need for more advanced electrostatic capacitor technology. This book for researchers in industry and academia provides an overview of key dielectric materials for capacitor technology. It covers preparation and characterization of state-of-the art dielectric materials including ceramics, polymers and polymer nanocomposites, for the most popular applications including energy storage, microwave communication and multi-layer ceramic capacitors. The book begins with an introduction to electrostatic capacitor technology, then goes on to cover the following topics: techniques for capacitor dielectrics characterization; dielectric polymers and dielectric metamaterials for high energy capacitors; polymer/nanofiller composites; high-temperature polymer-based dielectrics for electrostatic energy storage; design and simulations of capacitor dielectrics by phase-field computations; rational design on polymer dielectrics; inorganic dielectrics for high-energy-density capacitors; ceramic dielectrics for microwave communication; ceramic dielectrics for MLCCs; and finally two chapters on future prospects for polymers and ceramics.

Although existing nanometer CMOS technology is expected to remain dominant for the next decade, new non-classical devices are being developed as the potential replacements of silicon CMOS, in order to meet the ever-present demand for faster, smaller, more efficient integrate circuits. Many new devices are based on novel emerging materials such as one-dimensional carbon nanotubes and two-dimensional graphene, non-graphene two-dimensional materials, and transition metal dichalcogenides. Such devices use on/off operations based on quantum mechanical current transport, and so their design and fabrication require an understanding of the electronic structures of materials and technologies. Moreover, new electronic design automation (EDA) tools and techniques need to be developed based on integrating devices from emerging novel material-based technologies. The aim of this book is to explore the materials and design requirements of these emerging integrated circuit technologies, and to outline their prospective applications. It will be useful for academics and research scientists interested in future directions and developments in design, materials and applications of novel integrated circuit technologies, and for research and development professionals working at the cutting edge of integrated circuit development.

Advances in telemedicine technologies have offered clinicians greater levels of real-time guidance and technical assistance for diagnoses, monitoring, operations or interventions from colleagues based in remote locations. The topic includes the use of videoconferencing, mentorship during surgical procedures, or machine-to-machine communication to process data from one location by programmes running in another. This edited book presents a variety of technologies with applications in telemedicine, originating from the fields of biomedical sensors, wireless sensor networking, computer-aided diagnosis methods, signal and image processing and analysis, automation and control, virtual and augmented reality, multivariate analysis, and data acquisition devices. The Internet of Medical Things (IoMT), surgical robots, telemonitoring, and teleoperation systems are also explored, as well as the associated security and privacy concerns in this field. Topics covered include critical factors in the development, implementation and evaluation of telemedicine; surgical tele-mentoring; technologies in medical information processing; recent advances of signal/image processing techniques in healthcare; a real-time ECG processing platform for telemedicine applications; data mining in telemedicine; social work and telemental health services for rural and remote communities; applying telemedicine to social work practice and education; advanced telemedicine systems for remote healthcare monitoring; the impact of tone-mapping operators and viewing devices on visual quality of experience of colour and grey-scale HDR images; modelling the relationships between changes in EEG features and subjective quality of HDR images; IoMT and healthcare delivery in chronic diseases; and transform domain robust watermarking method using Riesz wavelet transform for medical data security and privacy.

Transforming the way we live, work, and engage with our environment, 5G and beyond technologies will provide much higher bandwidth and connectivity to billions of devices. This brings enormous opportunities but of course the widespread deployment of these technologies faces challenges, including the need for reliable connectivity, a diverse range of bandwidths, dynamic spectrum sharing, channel modelling and wave propagation for ultra-dense wireless networks, as well as price pressures. The choice of an antenna system will also be a critical component of all node end devices and will present several design challenges such as size, purpose, shape and placement. In this edited book, the authors bring new approaches for exploiting challenging propagation channels and the development of efficient, cost-effective, scalable, and reliable antenna systems and solutions, as well as future perspectives. The book is aimed at a wide audience of industry and academic researchers, scientists and engineers as well as advanced students in the field of antennas, ICTs, signal processing and electromagnetics. It will also be useful to network and system designers, developers and manufacturers. Stakeholders, government regulators, policy makers and standards bodies can use the information provided here to better understand the effects of the technology on the market and future developments for 5G and beyond systems and networks.

Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results. This book examines the application of blockchain technology and machine learning algorithms in various healthcare settings, covering the basics of the technologies and exploring how they can be used to improve clinical outcomes and improving the patient's experience. These topics are illustrated with reference to issues around the supply chain, drug verification, reimbursement, control access and clinical trials. Case studies are given for applications in the analysis of breast cancer, hepatitis C, and COVID-19.

Technologies for traffic and travel information (TTI) have been evolving rapidly in recent years. This book offers an overview of three generations of TTI technology, beginning with the first generation of human to human information transmission. The second generation incorporated machine to human information exchange, with the development of classification and transmission protocols such as RDS-TMC and TPEG. A third generation of machine to machine communication is now emerging, disrupting TTI technology and creating the need for this new reference work, which covers gathering information from automated sensors, its digital processing and transmission, and its use by increasingly intelligent agents and vehicles. The book provides coverage of the following topics, written by a range of experts in their respective fields: road traffic data collection; road traffic news from the air; location referencing; digital coding, collation and exchange of traffic information; European developments in traffic and travel information; the role of the commercial sector in developing road traffic information in the UK and Europe; dynamic road traffic signage; smart motorway information development; contribution of cooperative ITS to road traffic and travel information; multi modal traffic and travel information; social media and traffic and travel information; social media services and business models; and finally traffic and travel information into the future. Providing essential information to researchers and industry professionals involved with or interested in technologies and organisations that provide or deliver travel information, this book could also be of interest to policymakers needing an overview of the evolution and recent developments of this field, and advanced students of subjects related to telecommunications with an interest in traffic information.

This edited book brings together research from laboratories across the world, in order to offer a global perspective on advances in prosthetic hand control. State-of-the-art control of prosthetics in the laboratory and clinical spaces are presented and the challenges discussed, and the effect of user training on control of prosthetics to evaluate the translational efficacy and value for the end-user is highlighted. The book begins with a chapter introducing the fundamental principles, engineering challenges and control solutions for prosthetic hands. Further chapters address methods to design bespoke sockets, magnetomyography, implantable technologies for closed-loop control of prostheses, direct neural control of prostheses via nerve implants as well as user-prosthesis co-adaptation, and two chapters on prosthetics for children. The book concludes with a chapter by Dr Nazarpour on the future of myoelectric prosthetics control, with particular focus on the successful translation of research advances into real clinical gains. The book is essential reading for anyone involved in research or undertaking advanced courses in prosthetic design and control. It provides an in-depth exploration of this rewarding topic, by exploring technologies with the potential to improve the quality of life of upper-limb prosthetic users.

Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist or engineer seeking to apply these technologies ought to be aware of. The book begins with three introductory chapters on radar systems and phenomenology, machine learning principles, and optimization for training common deep neural network (DNN) architectures. Subsequently, the book summarizes radar-specific issues relating to the different domain representations in which radar data may be presented to DNNs and synthetic data generation for training dataset augmentation. Further chapters focus on specific radar applications, which relate to DNN design for micro-Doppler analysis, SAR-based automatic target recognition, radar remote sensing, and emerging fields, such as data fusion and image reconstruction. Edited by an acknowledged expert, and with contributions from an international team of authors, this book provides a solid introduction to the fundamentals of radar and machine learning, and then goes on to explore a range of technologies, applications and challenges in this developing field. This book is also a valuable resource for both radar engineers seeking to learn more about deep learning, as well as computer scientists who are seeking to explore novel applications of machine learning. In an era where the applications of RF sensing are multiplying by the day, this book serves as an easily accessible primer on the nuances of deep learning for radar applications.

Cloud computing has evolved as a cost-effective, easy-to-use, elastic and scalable computing paradigm to transform today's business models. 5G, Industrial IoT, Industry 4.0 and China-2050 frameworks and technologies are introducing new challenges that cannot be solved efficiently using current cloud architectures. To handle the collected information from such a vast number of devices and actuators, and address these issues, novel concepts have been proposed to bring cloud-like resources closer to end users at the edge of the network, a technology called edge computing. From architectures to models, technologies and applications, this book focuses on the Edge Computing paradigm due to its unique characteristics where heterogeneous devices can be equipped with decision making processes and automation procedures to carry out applications across widely geographically distributed areas. This book provides valuable insights for ICTs engineers, scientists, researchers, developers and practitioners who are involved in developing and implementing edge and cloud-based solutions ranging from sensors and actuators to cloud-based back-end systems.