From innovative solutions for securing IoT infrastructures against security attacks and privacy threats to advanced topics including responsible security intelligence, this comprehensive co-authored book offers a complete study of explainable artificial intelligence (XAI) for securing the internet of things (IoT).

This reference book brings together a team of world class engineers from research, clinical and industry settings to explore the underlying mechanisms of electrical stimulation for applications including motor neurorehabilitation, neurogenic bowel, bladder, sexual function, respiratory function, mobility and limb function.

This book explores how AI and Explainable AI-based cybersecurity algorithms and methods are used to tackle cybersecurity challenges such as threats, intrusions and attacks to preserve data privacy and ensure trust, accountability, transparency and compliance while optimizing computational and communication costs.

This book is a comprehensive reference on maritime autonomous vehicles (MAVs) covering design processes and best practices. It also specifies up-to-date and developing interfaces and standards for the infrastructure required to manage and maintain MAVs.

This book reviews some of the underlying technologies and also some recent applications in a number of fields. In a world increasingly overloaded with data of varying quality, not least via the Internet, computerised tools are becoming useful to 'mine' useful data from the mass available.

This book is different from others in the field in that it not only presents the fundamentals of DSP ranging from data conversion to z-transforms and spectral analysis, extending this into the areas of digital filtering and control, but also gives significant detail of the new devices themselves and how to use them.

This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.

This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.