Smart environments such as smart homes and industrial automation have been transformed by the rapid developments in internet of things (IoT) devices and systems. However, the widespread use of these devices poses significant difficulties, particularly in settings with limited energy resources. Due to the significant energy consumption and communication overhead associated with delivering huge amounts of data, traditional machine learning algorithms which rely on centralized cloud servers for training are not always suitable.

Federated learning is a decentralized strategy that enables...

Advanced networking methods and technologies are emerging as critical components in enabling novel applications. They are supported by recent technological advances in wireless communications along with the integration of various functionalities such as sensing, communication and artificial intelligence. The main goal of advanced networking is to achieve more efficient, stable and secure networks in internet and mobile communication systems. To fulfil the increasing network demand from applications, advanced networking technologies such as load balancing, fault tolerance technology,...

Today's generative AI has been marked by the advent of neural networks, inspired by the human brain, which are trained to recognize patterns in a dataset. Once the network is trained, it can make decisions or predictions without being programmed to perform tasks. Generative AI learns from a set of data without explicit instructions and can create and generate new digital content such as text, audio and art. Recent models are beginning to overcome challenges such as computational power, data quality and training stability.

This edited book on generative AI presents novel perspectives,...

A digital twin (DT) is a digital representation of a real-world physical product, system, or process. It is indistinguishable from its physical counterpart and used for simulation, integration, testing, monitoring and maintenance, often in real-time and in synchronization with the physical system. Digital twins offer the ability to gain a deep insight into the operating principles of any services, the interactions between different parts of the services and the behavioural aspects in a way that can be interactive and actionable for users and decision-makers.

DTs are now being...

Clustering is a fundamental problem in multimedia information processing. This co-authored book explores clustering principles through advanced data analysis techniques, such as matrix and tensor factorization, which are highly relevant for multimedia information processing. Multimedia data may exhibit various forms of noise represented from multiple perspectives, making traditional clustering approaches less effective. The authors consider complex conditions such as noise sensitivity and discuss methods to address these challenges in the context of multimedia data. They also examine...

Sign languages differ fundamentally from spoken and written languages, with their own grammar, syntax, and three-dimensional expression involving hand gestures, facial expressions, body movements, and spatial relationships. These non-manual elements are crucial in conveying grammatical structures, nuances, and emotional tones, making sign languages uniquely complex communication systems.

This book provides a comprehensive foundation for understanding the linguistic structures of sign languages and explores the application of artificial intelligence (AI) techniques - ranging from...