Titlebook: Distributed Computing for Emerging Smart Networks; Third International Imen Jemili,Mohamed Mosbah Conference proceedings 2022 The Editor(s

REP

Leveraging Machine Learning for WBANslored for real-time big data processing. Thus, the machine learning techniques are very useful for the big data analytic process. In this paper, we discuss the importance of the machine learning techniques use in the fusion and the treatment of the WBAN data, useful for different fields of applications.

痛恨

Wolff on Monadology and “Materialisterey”he Blockchain features. Then, we identify the potential areas of use of the Blockchain technology in C-ITS and we study the benefits/drawbacks of Blockchain for these applications. Finally, we present some challenges that will have to be considered in future Blockchain-based services designed for C-ITS.

Substance

Blockchain and?Cooperative Intelligent Transport Systems: Challenges and?Opportunitieshe Blockchain features. Then, we identify the potential areas of use of the Blockchain technology in C-ITS and we study the benefits/drawbacks of Blockchain for these applications. Finally, we present some challenges that will have to be considered in future Blockchain-based services designed for C-ITS.

機(jī)構(gòu)

Infraction

Pde5-Inhibitors

macabre

Distributed Computing for Emerging Smart Networks978-3-030-99004-6Series ISSN 1865-0929 Series E-ISSN 1865-0937

異端邪說(shuō)下

Selective Overloading of Metatarsal Headsreless Sensor Networks (WSNs) have shown themselves to be very useful in the process of the realization of this paradigm. Data collection is the first step on which the whole system is based. The new services and innovative applications offered by the Smart City are based on the extracted informatio

thyroid-hormone

Jean-Jacques Lecercle,Denise Rileye the environment so that decision-management systems can make appropriate monitoring and thoughtful decisions. In most cases, sensory data is routed from sensor nodes towards a sink node, used as a gateway towards tiers where the data is used (e.g., preprocessing, backup in a database, decision-mak

干涉

Jean-Jacques Lecercle,Denise Rileyns are responsible for gathering and managing a huge amount of heterogeneous data from the human body or the surrounding environment in both real and non-real time manners. Relevant information for various fields can be extracted from the raw data. Recently, Machine learning has been extensively exp