George Mastorakis – författare

Ambient Assisted Living and Enhanced Living Environments: Principles, Technologies and Control separates the theoretical concepts concerning the design of such systems from their real-world implementations. For each important topic, the book bridges theory and practice, introducing the instruments needed by professionals in their activities.

To this aim, topics are presented in a logical sequence, with the introduction of each topic motivated by the need to respond to claims and requirements from a wide range of AAL/ELE applications. The advantages and limitations of each model or technology are presented through concrete case studies for AAL/ELE systems.

The book also presents up-to-date technological solutions to the main aspects regarding AAL/ELE systems and applications, a highly dynamic scientific domain that has gained much interest in the world of IT in the last decade. In addition, readers will find discussions on recent AAL/ELE technologies that were designed to solve some of the thorniest business problems that affect applications in areas such as health and medical supply, smart city and smart housing, Big Data and Internet of Things, and many more.

Introduces readers to technologies supporting the development of Ambient Assisted Living applications Explains state-of-the-art technological solutions for the main issues regarding AAL and Enhanced Living Environments Reports the development process of scientific and commercial applications and platforms that support AAL and ELE Identifies the advanced solutions in the context of Enhanced Living Environments

The incredible growth in the development and use of wireless communication technologies has led to research in both academia and industry on artificial intelligence (AI) methods that enable intelligent technologies, smarter services and applications, business processes and social interactions to satisfy future requirements. AI mechanisms are being exploited in smart intelligent network applications to provide insights from collected data by identifying patterns and allowing operational predictions with higher accuracy in smaller time periods. The future of AI-powered wireless networking infrastructures depends on finding effective solutions to a number of technical challenges that such paradigms introduce, including better intelligent sensor capabilities, smarter big data analytics, automated remote data management, as well as open and secure processes.This book presents innovative research in emerging artificial intelligence methods for the processing, storing and analysing of large date sets generated by wireless communication infrastructures. It addresses major new technological developments, reflects on industry needs, current research trends and future directions. The authors focus on the development of AI-powered mechanisms for future wireless networking applications and architectures which will lead to more performant, resilient and valuable ecosystems and automated services. The book is aimed at researchers, engineers and scientists involved in the design and development of protocols and AI applications for wireless communication devices, and wireless networking technologies.

This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures.

This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures.

This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures.

This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures.

This book covers a wide range of applications and scenarios of intelligent technologies for healthcare business applications. The authors adopt an interdisciplinary approach with both theoretical and practical approaches in order to be relevant to multiple audiences. This book encapsulates fundamental and cutting-edge research paradigms of intelligent healthcare environments and addresses related open-ended research issues. The authors also explore recent advances, disseminate state-of-the-art techniques, and deploy novel technologies in intelligent healthcare services and applications. The book features a broad appeal to electrical, electronic, computer, software and telecommunications engineers in the healthcare space.Covers a range of applications and scenarios of intelligent technologies for healthcare business applicationsExplores advances, disseminates techniques, and deploys novel technologies in intelligent healthcare servicesFeatures paradigms of intelligent healthcare environments and addresses open-ended research issues

This book reports the latest advances on the design and development of mobile computing systems, describing their applications in the context of modeling, analysis and efficient resource management. It explores the challenges on mobile computing and resource management paradigms, including research efforts and approaches recently carried out in response to them to address future open-ended issues. The book includes 26 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of mobile computing, from basic concepts to advanced findings, reporting the state-of-the-art on resource management in such environments. It is mainly intended as a reference guide for researchers and practitioners involved in the design, development and applications of mobile computing systems, seeking solutions to related issues. It also represents a useful textbook for advanced undergraduate and graduate courses, addressing special topics such as: mobile and ad-hoc wireless networks; peer-to-peer systems for mobile computing; novel resource management techniques in cognitive radio networks; and power management in mobile computing systems.

Byproviding researchers and professionals with a timely snapshot of emergingmobile communication systems, and highlighting the main pitfalls and potentialsolutions, the book fills an important gap in the literature and will fosterthe further developments of 5G hosting IoT devices.

This book reports the latest advances on the design and development of mobile computing systems, describing their applications in the context of modeling, analysis and efficient resource management. It explores the challenges on mobile computing and resource management paradigms, including research efforts and approaches recently carried out in response to them to address future open-ended issues. The book includes 26 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of mobile computing, from basic concepts to advanced findings, reporting the state-of-the-art on resource management in such environments. It is mainly intended as a reference guide for researchers and practitioners involved in the design, development and applications of mobile computing systems, seeking solutions to related issues. It also represents a useful textbook for advanced undergraduate and graduate courses, addressing special topics such as: mobile and ad-hoc wireless networks; peer-to-peer systems for mobile computing; novel resource management techniques in cognitive radio networks; and power management in mobile computing systems.

This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks.The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.

The major subjects of the book cover modeling, analysis and efficient management of information in Internet of Everything (IoE) applications and architectures. As the first book of its kind, it addresses the major new technological developments in the field and will reflect current research trends, as well as industry needs. It comprises of a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports and best practices in utilizing IoE applications. It also provides technical/scientific information about various aspects of IoE technologies, ranging from basic concepts to research grade material, including future directions.

This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications.

Byproviding researchers and professionals with a timely snapshot of emergingmobile communication systems, and highlighting the main pitfalls and potentialsolutions, the book fills an important gap in the literature and will fosterthe further developments of 5G hosting IoT devices.

This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks.The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.