This book looks at the technical fields of Cybersecurity progressively, building up in layers before expanding into more advanced topics. Each area is looked at succinctly, describing the main elements and problems in each area and reinforcing these concepts with practical coding examples, questions and ideas for further research.

The aim of this book is to inform readers about mHealth, from its history to the current research developments and challenges related to privacy and security issues. The book's intended audience includes individuals interested in learning about mHealth, from students to researchers and practitioners working in this field.

Inspired by Roland Barthes's practice of "semioclasm" in Mythologies, this book offers a "technoclasm"; a cultural critique of US narratives, discourses, images, and objects that have transformed the politics of automation into statements of fact about the "rise of the robots".

This book focuses on the intelligent technologies that are transforming creative practices and industries.

Moving well beyond simply speeding up computation, this book tackles AI for Finance from a range of perspectives including business, technology, research, and students. Covering aspects like algorithms, big data, and machine learning, this book answers these and many other questions.

Moving well beyond simply speeding up computation, this book tackles AI for Finance from a range of perspectives including business, technology, research, and students. Covering aspects like algorithms, big data, and machine learning, this book answers these and many other questions.

AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence technologies in scientific research and discovery across the full breadth of scientific disciplines.

This book focuses on how new technologies are raising and reshaping ethical questions and practices which aim to automate ethics into program outputs.

This book presents state-of-the-art of optimization algorithms followed by internet of things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics such as optimization, algorithms, machine learning in image processing and IoT.