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Smart city article details

Title Sensor Data Fusion For The Industrial Artificial Intelligence Of Things
ID_Doc 48408
Authors Djenouri Y.; Belhadi A.; Srivastava G.; Houssein E.H.; Lin J.C.-W.
Year 2022
Published Expert Systems, 39, 5
DOI http://dx.doi.org/10.1111/exsy.12875
Abstract The emergence of smart sensors, artificial intelligence, and deep learning technologies yield artificial intelligence of things, also known as the AIoT. Sophisticated cooperation of these technologies is vital for the effective processing of industrial sensor data. This paper introduces a new framework for addressing the different challenges of the AIoT applications. The proposed framework is an intelligent combination of multi-agent systems, knowledge graphs and deep learning. Deep learning architectures are used to create models from different sensor-based data. Multi-agent systems can be used for simulating the collective behaviours of the smart sensors using IoT settings. The communication among different agents is realized by integrating knowledge graphs. Different optimizations based on constraint satisfaction as well as evolutionary computation are also investigated. Experimental analysis is undertaken to compare the methodology presented to state-of-the-art AIoT technologies. We show through experimentation that our designed framework achieves good performance compared to baseline solutions. © 2021 The Authors. Expert Systems published by John Wiley & Sons Ltd.
Author Keywords AIoT; cognitive smart cities; deep learning; multi-agent system


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