Francisco Zayas-Gato & Antonio Díaz-Longueira 
Distributed Computing and Artificial Intelligence, Special Sessions III – Intelligent Systems Applications, 21st International Conference [PDF ebook] 

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This volume of LNNS contains accepted papers presented at DCAI conference in the Special Session on Intelligent Systems Applications (ISA), Salamanca (Spain), June 2024. ISA is a major forum for presentation of development and applications of innovative techniques in the fields of building management, assistive technologies, the applied engineering, and industry. The scientific committee of the ISA has selected 9 full papers for its publication. This year ISA Special Session has teamed up with “Logic Journal of the IGPL” (Oxford University Press) for one special issue including selected papers from ISA Special Session 2024. We would like to thank all the contributing authors, National Associations (AEPIA, APPIA), and sponsors (AIR Institute). Finally, we are grateful and value the hard work of the Program Committee members and the Organizing Committee of the University of Salamanca which has been essential for the success of the ISA Special Session 2024.

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Table of Content

.- 1 A machine learning – based system for determining water potability.

.- 2 Energy forecasting using intelligent models.

.- 3 A deep learning-based OCR system implementation for traceability ensurement in a metal manufacturing workshop.

.- 4 Dimensional reduction techniques for the characterization of behavioral patterns in dairy cows.

.- 5 Geothermal heat exchanger’s temperature input sensor prediction based on deep learning modelling technique.

.- 6 A hybrid intelligence model forecasts the temperature of a battery used in electric vehicles.

.- 7 A comparative analysis of algorithms and metrics to perform clustering.

.- 8 Wind speed virtual sensor for small wind turbine.

.- 9 Reconstructing turbulence-distorted wavefronts through laser-beam profiles.

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Language English ● Format PDF ● Pages 95 ● ISBN 9783031739101 ● File size 18.1 MB ● Editor Francisco Zayas-Gato & Antonio Díaz-Longueira ● Publisher Springer Nature Switzerland ● City Cham ● Country CH ● Published 2024 ● Downloadable 24 months ● Currency EUR ● ID 10035180 ● Copy protection Social DRM

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