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Convergence of Artificial Intelligence and the Internet of Things, 1st ed. 2020 Internet of Things Series

Langue : Anglais

Coordonnateurs : Mastorakis George, Mavromoustakis Constandinos X., Batalla Jordi Mongay, Pallis Evangelos

Couverture de l’ouvrage Convergence of Artificial Intelligence and the Internet of Things

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. 

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.

Fog Computing: Data Analytics for Time-Sensitive Applications.- Medical Image Watermarking in Four Levels Decomposition of DWT Using Multiple Wavelets in IoT Emergence.- Optimised Statistical Model Updates in Distributed Intelligence Environments.- Intelligent Vehicular Networking Protocols.- Towards Ubiquitous Privacy Decision Support:Machine Prediction of Privacy Decisions in IoT.- Energy-Efficient Design of Data Center Spaces in the Era of IoT Exploiting the Concept of Digital Twins.- In-network Machine Learning Predictive Analytics: A Swarm Intelligence Approach.- Machine Learning Techniques for Wireless-Powered Ambient Backscatter communications.- Processing Systems for Deep Learning Inference on Edge Devices.- Power Domain based Multiple Access for IoT Deployment: Two-way Transmission Mode and Performance Analysis. 

George Mastorakis received his B.E. (Honours) in Electronic Engineering from UMIST (University of Manchester Institute of Science & Technology) in 2000, his M.Sc. in Telecommunications from UCL (University College London) in 2001 and his Ph.D. in Telecommunications from the University of the Aegean in 2008. He currently serves as an Associate Professor in the Department of Management Science and Technology at Hellenic Mediterranean University in Greece and as a Director of e-Business Intelligence Laboratory. He has actively participated in a large number of European funded research projects (FP6, FP7 and Horizon2020) and national research ones. He has also acted as a technical manager in many research projects funded by GSRT (General Secretariat for Research & Technology, Ministry of Development, Greece). He has more than 250 publications at various international conference proceedings, workshops, scientific journals and book chapters. His research interests include cognitive radionetworks, IoT applications, IoE architectures, radio resource management, artificial intelligence applications, networking traffic analysis, 5G mobile networks, dynamic bandwidth management and energy-efficiency networks

Constandinos X. Mavromoustakis (male, Prof., Ph.D. since 2006) is currently a Professor at the Department of Computer Science at the University of Nicosia, Cyprus. He received a five-year dipl. Eng. (B.Sc., B.E., M.E./KISATS approved/accredited) in Electronic and Computer Engineering from Technical University of Crete, Greece, M.Sc. in Telecommunications from University College of London, UK, and his Ph.D. from the Department of Informatics at Aristotle University of Thessaloniki, Greece. Professor Mavromoustakis is leading the Mobile Systems Lab. (MOSys Lab., www.mosys.unic.ac.cy) at the Department of Computer Science at the University of Nicosia. He is the Chair of the IEEE/ R8 regional Cyprus section since November 2019, and since May 2009, he serves as theCha

Gathers recent work in AI methods for processing and storing the data from IoT infrastructures Presents a good balance between theoretical and practical issues Reflects current research trends as well as industry needs

Date de parution :

Ouvrage de 439 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

52,74 €

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Date de parution :

Ouvrage de 439 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

73,84 €

Ajouter au panier

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