This 2nd edition is an updated, revised and expanded version of the original 2007 text. The figures are now colour and new material has been added to address recent advances in the field. The authors are well known in the antenna measurement world and this remains a unique book covering planar near-field measurements.

Power converters are vital for clean power, and so is their control. This book covers recent advances in converter control, comparing control methods for different converters. Chapters present control of DC-DC and AC-DC converters, for example using sliding mode and robust control.

This book provides an overview of multimedia technologies used in finance and banking, including ML and DL techniques for financial data analysis, fraud and cyber operation countermeasures, concrete applications of NPR for financial data, self-supervised, unsupervised & semi-supervised learning methods and real-world case studies.

Using machine and deep learning techniques the authors introduce pre-processing methods applied to satellite images to identify land cover features, detect object, classify crops, recognize targets, and monitor and support earth resources. Readers will need a basic understanding of computing, remote sensing and image interpretation.

Health informatics uses information technology to organise and analyse health data to improve healthcare outcomes. This book covers current and future applications of health informatics topics including robotics, sensing, and blockchain and discusses electronic access (and connectivity) to medical records for patients and clinicians.

This book presents the state-of-the art in hardware security of digital signal processing (DSP) and machine learning coprocessors using physical biometrics and molecular signature biometrics, for an audience of academic researchers, industry researchers and developers, and advanced students with an interest in the field.

This work conveys the use of time synchronized measurements of voltages or currents for planning and operation of electricity grids. Such so-called synchrophasors are key to managing complex grids with rising shares of intermittent renewables and varying loads from EV.

This book discusses the applications of distributed ledger technology in healthcare environments such as e-healthcare records and data security, health insurance management and fraud detection, pharmaceutical supply chain management and drug traceability, and IoT enabled patient monitoring.

This book concentrates on sensing and measurement technologies for rehabilitation applications. The book looks at motion sensing technologies, human motion and exogames and healthcare applications including speech, respiration, and recovery from stroke or accident.

This edited book focuses on the applications of machine learning in the healthcare sector, both at the macro-level for guiding policy decisions, and at the granular level, showing how machine learning techniques can be applied to help individual patients.

The aim of this Code of Practice is to provide good practice guidance to enable individuals and their organisations to have a level of knowledge and understanding to manage the risks associated with an electrical system.

This book discusses recent advances in the application of deep learning techniques to electromagnetic theory and engineering. The contents represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate.

Size reduction in mesoscopic and nano-scoping electronic and plasmonic devices makes classical quantum mechanics (QM) and electrodynamics (QED) in electronics inevitable. Electronics engineers are unfamiliar with the mathematical apparatus in QM and QED, which can be formidably abstract. This book explains QM and QED to engineers.