This edited book explores new and emerging technologies in the field of medical image processing using deep learning models, neural networks and machine learning architectures. Multimodal medical imaging and optimisation techniques are discussed in relation to the advances, challenges and benefits of computer-aided diagnoses.

Medical Imaging Informatics is an edited book that discusses how medical images can be processed using machine learning techniques and big data analysis methods. These tools help physicians to gain a full overview of a patient's data, which in turn assists with diagnosis, prognosis or intervention.

This is a broad introductory handbook, covering the major technologies and applications in Ambient Assisted Living (AAL). The book focuses on current state-of-the-art technology and critical analysis, the applications of these technologies and also includes general issues such as usability, accessibility, privacy and ethics.

This book discusses electromagnetic waves and antennas used as diagnostic tools and therapeutic techniques for applications in cancer detection, stroke event detection, GI diagnostics, and cardiovascular risk predictions. It discusses electromagnetic devices, wireless implants, and in vitro and in vivo testing.

Exploring technologies supporting future autonomous road vehicles and systems, with a particular focus on vehicular ad-hoc networks (VANETs), this book is essential reading for researchers and advanced students from academia, industry and government working on the automation of road vehicles.

This edited book covers big data analysis methods of patient data gained via IoT-enabled monitoring systems. The information gathered can be processed to aid clinicians with diagnoses, prognoses and interventions. This book is a great reference to those using, designing, modelling and analysing intelligent healthcare services.

In this edited book, the authors present the challenges, technologies, applications and future trends of the artificial intelligence-enabled internet of things (AIoT) in realizing smart and intelligent environments.

This comprehensive work covers technologies enabling the smart grid: power electronics, simulation and control, protection, energy management, and use of AI. Also discussed are smart grid communication, technologies for fault detection and monitoring, PV integration and EV charging.