Titlebook: Convergence of Artificial Intelligence and the Internet of Things; George Mastorakis,Constandinos X. Mavromoustakis,E Book 2020 Springer N

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Machine Learning Techniques for Wireless-Powered Ambient Backscatter Communications: Enabling Intelfactors. The information-driven machine learning does not require the need of a tractable scientific model as the models can be prepared to deal with channel imperfections and equipment flaws in backscatter communications. Particularly, with the use of reinforcement learning approaches, the performa

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Industrial and Artificial Internet of Things with Augmented Reality,d even play an important role in the life cycle of a product, from its design to its support, thus allowing greater flexibility. The adoption of interconnected systems and the use of IoT have motivated the use of Artificial Intelligence (AI) because much of the data coming from several sources is un

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IoT Detection Techniques for Modeling Post-Fire Landscape Alteration Using Multitemporal Spectral Iriousness of an area. The scope of this project is to examine the correlation between multitemporal spectral indices and field-observed conditions and provide a practical method for immediate fire detection to assess its burn severity in advance. Furthermore, a quantified mapping model is presented

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,Internet of Things and Artificial Intelligence—A Wining Partnership?,ues are addressed in this chapter from the engineering and educational points of view. In fact, when dealing with “decision making systems”, not only design and test should guarantee the correct and safe operation, but also the soundness of the decisions such smart objects take, during their lifetim

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