Applications of Computational Intelligence in Industrial and Environmental Scenarios

  • Ruggero  Donida Labati
  • Angelo Genovese
  • Enrique Muñoz
  • Vincenzo Piuri
  • Fabio Scotti
Part of the Studies in Computational Intelligence book series (SCI, volume 756)


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.



This work was supported in part by the EC within the H2020 program under grant agreement 644597 (ESCUDO-CLOUD).


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Ruggero  Donida Labati
    • 1
  • Angelo Genovese
    • 1
  • Enrique Muñoz
    • 1
  • Vincenzo Piuri
    • 1
  • Fabio Scotti
    • 1
  1. 1.Department of Computer ScienceUniversità Degli Studi di MilanoCremaItaly

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