Distributed Computing and Artificial Intelligence, Special Sessions III, 22nd International Conference

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Geliefert zwischen Mo., 23.02.2026 und Di., 24.02.2026

Details

This book 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 the presentation of the development and applications of innovative techniques in the fields of building management, assistive technologies, applied engineering, and industry. The scientific committee of the ISA has selected eight 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 2025. We would like to thank all the contributing authors, the members of the program committee, and the organizing committee of the University of Salamanca for their hard and highly valuable work, which has been essential for the success of ISA 2025.


Highlights the latest research on distributed computing and artificial intelligence Presents the special sessions of the 22nd International Conference on Distributed Computing and Artificial Intelligence Written by respected experts in the field

Inhalt

Application of AI Models for Predicting Level in Sewerage Networks: A Case Study of a Wastewater Pumping Station.- Detection of occupational diseases using a semi-supervised approach.- Comparative performance analysis for modelling photovoltaic solar panels including their temperature.- Friction Stir Welding of Aluminum Alloys Defect Detection based on Convolutional Autoencoders.- Security in Constrained Application Protocol Networks: Evaluating Supervised Classification Techniques for DoS Attack Detection.- Predicting hydrogen consumption in a fuel cell using intelligent techniques.- Prediction of Titanium Dioxide (TiO) Concentration Using Machine Learning and Spectral Analysis.- Monitoring the Dynamics of Water Consumption from Time Series Using Machine Learning Techniques.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783032055033
    • Anzahl Seiten 91
    • Lesemotiv Verstehen
    • Genre Technology
    • Editor Esteban Jove Pérez, Francisco Zayas-Gato, Antonio Díaz-Longueira, José-Luis Casteleiro-Roca
    • Sprache Englisch
    • Herausgeber Springer-Verlag GmbH
    • Gewicht 178g
    • Untertitel Lecture Notes in Networks and Systems 1626
    • Größe H6mm x B155mm x T235mm
    • Jahr 2026
    • EAN 9783032055033
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-032-05503-3
    • Titel Distributed Computing and Artificial Intelligence, Special Sessions III, 22nd International Conference

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