Data di Pubblicazione:
2018
Citazione:
Applications of computational intelligence in industrial and environmental scenarios / R. Donida Labati, A. Genovese, E. Muñoz, V. Piuri, F. Scotti (STUDIES IN COMPUTATIONAL INTELLIGENCE). - In: Learning Systems: from Theory to Practice / [a cura di] V. Sgurev, V. Piuri, V. Jotsov. - [s.l] : Springer, 2018 Apr. - ISBN 9783319751801. - pp. 29-46 [10.1007/978-3-319-75181-8_2]
Abstract:
Computational Intelligence (CI) techniques are receiving increasing attention by the industrial and academic communities involved in the design of automatic systems for industrial and environmental monitoring and control applications. CI techniques are able to aggregate inputs from several heterogeneous sensors, adapt themselves to wide ranges of operational and environmental conditions, and cope with incomplete or noise-affected data. With current computing architectures evolving towards smaller size, higher computational power, and more affordable cost, a great number of devices can embed CI techniques to support different kinds of applications. In this paper, we present a survey of the recent CI methods designed for the main processing steps of industrial and environmental monitoring systems.
Tipologia IRIS:
03 - Contributo in volume
Elenco autori:
R. Donida Labati, A. Genovese, E. Muñoz, V. Piuri, F. Scotti
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Link al Full Text:
Titolo del libro:
Learning Systems: from Theory to Practice