Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications. Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.

Computers and the Internet are an undeniable and inextricable part of our daily lives. This book is for those who wish to better understand how this came to be. It explores the technological bases of computers, networks, software and data management, leading to the development of four pillars on which the essential applications that have a strong impact on individuals and society are based: embedded systems, Artificial Intelligence, the Internet, image processing and vision. We will travel to the heart of major application areas: robotics, virtual reality, health, mobility, energy, the factory of the future, not forgetting the major questions that this digitization can raise. This book is the author s testimony after fifty years spent in environments that are very open to new technologies. It offers perspectives on the evolution of the digital world that we live in.

Artificial intelligence (AI) and knowledge management can create innovative digital solutions and business opportunities in Asia from circular and green economies to technological disruption, innovation, and smart cities. It is essential to understand the impact and importance of AI and knowledge management within the digital economy for future development and for fostering the best practices within 21st century businesses. The Handbook of Research on Artificial Intelligence and Knowledge Management in Asia's Digital Economy offers conceptual frameworks, empirical studies, and case studies that help to understand the latest developments in artificial intelligence and knowledge management, as well as its potential for digital transformation and business opportunities in Asia. Covering topics such as augmented reality. Convolutional neural networks, and digital transformation, this major reference work generates enriching debate on the challenges and opportunities for economic growth and inclusion in the region among business executives and leaders, IT managers, policymakers, government officials, students and educators of higher education, researchers, and academicians.

Digital technologies are transforming economies and societies around the world. As such, markets demand new types of skills and competences that students must learn in order to be successful. IT and emerging technologies can be integrated into educational institutions to improve teaching methods and academic results as well as digital literacy. IT and the Development of Digital Skills and Competences in Education compiles critical research into one comprehensive reference source that explores the new demands of labor markets in the digital economy, how educational institutions can respond to these new opportunities and threats, the development of new teaching and learning methods, and the development of digital skills and competences. Through new theories, research findings, and case studies, the book seeks to incite new perspectives to understandings of the challenges and opportunities of the utilization of IT in the education sector around the world. Due to innovative topics that include digital competence, disruptive technologies, and digital transformation, this book is an ideal reference for academicians, directors of schools, vice-chancellors, education and IT experts, CEOs, policymakers in the field of education and IT, researchers, and students.

Computing has moved away from a focus on performance-centric serial computation, instead towards energy-efficient parallel computation. This provides continued performance increases without increasing clock frequencies, and overcomes the thermal and power limitations of the dark-silicon era. As the number of parallel cores increases, we transition into the many-core computing era. There is considerable interest in developing methods, tools, architectures and applications to support many-core computing. The primary aim of this edited book is to provide a timely and coherent account of the recent advances in many-core computing research. Starting with programming models, operating systems and their applications; the authors present runtime management techniques, followed by system modelling, verification and testing methods, and architectures and systems. The book ends with some examples of innovative applications.

The technological advancements of today not only affect individual's personal lives. They also affect the way urban communities regard the improvement of their resident's lives. Research involving these autonomic reactions to the growing needs of the people is desperately needed to transform the cities of today into the cities of the future. Driving the Development, Management, and Sustainability of Cognitive Cities is a pivotal reference source that explores and improves the understanding of the strategic role of sustainable cognitive cities in residents' routine life styles. Such benefits to residents and businesses include having access to world-class training while sitting at home, having their wellbeing observed consistently, and having their medical issues identified before occurrence. This book is ideally designed for administrators, policymakers, industrialists, and researchers seeking current research on developing and managing cognitive cities.

As a popular and powerful medium, mobile use has increased significantly across the world. The effects of these communication devices have not only transformed how we communicate but also how we gather and distribute information in a variety of industries including healthcare, business, and education. Impacts of Mobile Use and Experience on Contemporary Society provides cross-disciplinary research that examines mobile use and its impact through 16 different stages of life, ranging from pre-birth through after-death. Featuring research on topics such as academic application, economic value, and mobile learning, scholars from different disciplines identify the crucial implications behind one of the leading communication tools from all over the world. Included amongst the targeted audience are educators, policymakers, healthcare professionals, managers, academicians, researchers, and practitioners.

Data Communications and Networking, 6th Edition, teaches the principles of networking using TCP/IP protocol suite. It employs a bottom-up approach where each layer in the TCP/IP protocol suite is built on the services provided by the layer below. This edition has undergone a major restructuring to reduce the number of chapters and focus on the organization of TCP/IP protocol suite. It concludes with three chapters that explore multimedia, network management, and cryptography/network security. Technologies related to data communications and networking are among the fastest growing in our culture today, and there is no better guide to this rapidly expanding field than Data Communications and Networking.

As the future of software development in a global environment continues to be influenced by the areas of service oriented architecture (SOA) and cloud computing, many legacy applications will need to migrate these environments to take advantage of the benefits offered by the service environment. Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments presents a closer look at the partnership between service oriented architecture and cloud computing environments while analyzing potential solutions to challenges related to the migration of legacy applications. This reference is essential for students and university scholars alike.

With the internet of things (IoT), it is proven that enormous networks can be created to interconnect objects and facilitate daily life in a variety of domains. Research is needed to study how these improvements can be applied in different ways, using different technologies, and through the creation of different applications. IoT Protocols and Applications for Improving Industry, Environment, and Society contains the latest research on the most important areas and challenges in the internet of things and its intersection with technologies and tools such as artificial intelligence, blockchain, model-driven engineering, and cloud computing. The book covers subfields that examine smart homes, smart towns, smart earth, and the industrial internet of things in order to improve daily life, protect the environment, and create safer and easier jobs. While covering a range of topics within IoT including Industry 4.0, security, and privacy, this book is ideal for computer scientists, engineers, practitioners, stakeholders, researchers, academicians, and students who are interested in the latest applications of IoT.

Artificial intelligence is headline news with the launch of the latest ChatGPT and Google Bard. But when did we start making computers mimic the human mind? And what is the reality of the capabilities of AI now, and in the future?

AI has always stirred emotions and caused great excitement and concern. Since the launch of large language models such as ChatGPT, the scope and capabilities of AI look set to transform our technology, in both good and bad ways. AI can help teach us how to write better or help us generate amazing artwork. But in the wrong hands, AI can create fake images and fake information that can be used to damage our societies.

A new addition to the popular Bite-sized Chunks series, this expert-led book will explore how AI has developed from humble beginnings in the 1950s to today’s extraordinary AIs with more neurons than the human brain. Focusing on specific AIs and their creators over the years, it explains the science and engineering behind each AI, discusses ethical issues, and covers all the most fascinating information about one of the most important and contentious developments in human technology (including the latest on generative AI/ChatGPT), as well as what we can expect to see in the future of this field – all in short, accessible bite-sized chunks.