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.

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]

Applications of computational intelligence in industrial and environmental scenarios

R. Donida Labati;A. Genovese;E. Muñoz;V. Piuri;F. Scotti
2018-04

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.
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Enforceable Security in the Cloud to Uphold Data Ownership
Book Part (author)
File in questo prodotto:
File Dimensione Formato  
bcis_2018.pdf

accesso aperto

Descrizione: Articolo principale
Tipologia: Pre-print (manoscritto inviato all'editore)
Dimensione 6.63 MB
Formato Adobe PDF
6.63 MB Adobe PDF Visualizza/Apri
DonidaLabati2018_Chapter_ApplicationsOfComputationalInt.pdf

non disponibili

Tipologia: Publisher's version/PDF
Dimensione 551.87 kB
Formato Adobe PDF
551.87 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/553504
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? ND
social impact