Roberto Minerva – författare

Enables readers to understand the concept of digital twins from an engineering perspective The Foundation for Digital Twins describes the technical characterizations of digital twins and explores the specifics of software and algorithms that facilitate a wide range of digital twin applications. The book discusses gaps between the current and future software solutions that must be put in place in order to fully exploit the digital twin capabilities, shows the relationship between digital twins and AI, provides an overall systematic approach to the construction and operation of digital twins, and delves into state-of-the-art applications of digital twins in smart cities and those focused on networking and cultural heritage. This book includes information on: Descriptive, predictive, and behavior models in the context of digital twinsHow to design a digital twin, covering distributed, interactive, top-down, and bottom-up approachesCentralized, edge-cloud, and totally distributed digital twin deploymentDigital twins as an integral part of the metaverse and the most promising future applications of digital twinsThe Foundation for Digital Twins is a timely, essential reference on the subject for professionals and researchers in software development and those involved in the implementation and management of digital twin platforms, frameworks, and related applications.

The Digital Twin book is about harnessing the power of technology, business practices, and the digital infrastructure to make revolutionary improvements for the benefit of society.

The Digital Twin book is about harnessing the power of technology, business practices, and the digital infrastructure to make revolutionary improvements for the benefit of society.

This book explores fundamental and advanced concepts related to the AI-enabled Edge Technology paradigm, also known as Edge Intelligence, within the framework of the Internet of Things (IoT).

This book explores fundamental and advanced concepts related to the AI-enabled Edge Technology paradigm, also known as Edge Intelligence, within the framework of the Internet of Things (IoT). Expanding the application of Edge computing is increasingly necessary. This can involve exploring automated, intelligent computational learning theorems, and ANN-oriented, trustworthy machine learning perspectives to enhance computational intelligence. The book functions as a valuable resource for professionals in the sector and also acts as a comprehensive learning tool for newcomers in the field of AI-enabled Edge Technologies and their applications, covering both fundamental and advanced concepts. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT edge-cloud ecosystem and to implement cyber-physical pervasive infrastructure solutions. The book will help readers understand the design architecture and AI algorithms and learn analytics through IoT edge, device-edge and the state-of-the-art in cloud-IoT countermeasures. The book is a valuable reference for anyone doing undergraduate or postgraduate studies, conducting research, or working in the computer science, information technology, electronics engineering, and complicated mathematical modeling domains.

This book shines a spotlight on software-centric networks and their emerging service environments. The authors examine the road ahead for connectivity, for both humans and 'things', considering the rapid changes that have shaken the industry. The book analyses major catalytic shifts that are shaping the communications world: softwarization, virtualization, and cloud computing. It guides the reader through a maze of possible architectural choices, driven by discriminating and sometimes conflicting business considerations. The new ICT capabilities lead us toward smarter environments and to an ecosystem where applications are backed up by shared networking facilities, instead of networks that support their own applications. Growing user awareness is a key driver towards the softwarization process.Softwarization disrupts the current status quo for equipment, development, networks, operations and business. It changes radically the value chain and the involved stakeholders.The dilemma is between a 'slow burn' traditional step-by-step approach and a bold transformation of the whole infrastructure and business models. This book is essential reading for those seeking to build user-centric communication networks that support independent agile and smart applications.“The book gives an insightful account of modern telecom networks, pinpointing the radical transformations of the last 20 years. This is the perfect read for those who are interested in the grand challenges of networks and in the socio-economic reasons why the telecom industry to embrace the Internet of Things and cyber-physical systems.”Prof. Antonio Liotta, Eindhoven University of Technology“This book fulfills an urgent need to thoroughly analyze the entanglement of network and software architectures by taking into account the increasing softwarization. It highlights important issues behind today’s business models and opens the road for sustainable future approaches to provide user appreciated valuable services.” Dr. Eng. Hendrik Berndt, former CTO of NTT DOCOMO Communications Laboratories Europe