Название: Convergence of Artificial Intelligence and the Internet of Things Автор: G. Mastorakis, C.X. Mavromoustakis, J.M. Batalla
Издательство: Springer
Год: 2020
Страниц: 446
Язык: английский
Формат: pdf (true)
Размер: 14.9 MB
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. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions.
IoT-based objects produce a vast volume of information frequently called as Big Data, which cannot be easily processed by traditional algorithms and schemes. However, future smart environments will enable efficient handling and processing of Big Data that is generated by the associated objects for an effective communication and co-operation among them. In any case, there is profoundly helpful data and many values in trying to analyze, as well as process it. IoT-based objects have an increased consideration from researchers in several scientific fields and disciplines.
In this respect, a great potential exists for advanced technological solutions combined with Artificial Intelligence (AI) and IoT-enabled capabilities. AI mechanisms applied in IoT environments can be exploited in smart homes to analyze human actions via motion or facial recognition sensors. AI plays a significant role in future IoT applications and infrastructures, by providing insights from collected data. This capability enables the identification of patterns and allows operational predictions with higher accuracy in small time periods. AI applications for smart devices also enable businesses to develop new products, reduce possible risks and increase efficiency during the production time, by predicting failures that are usually non-detectable by humans or simple devices.
The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.
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