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Distributed Computing and Artificial Intelligence, Special Sessions III, 22nd International Conference [Pehme köide]

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  • Formaat: Paperback / softback, 91 pages, kõrgus x laius: 235x155 mm, 21 Illustrations, color; 2 Illustrations, black and white
  • Sari: Lecture Notes in Networks and Systems
  • Ilmumisaeg: 03-Jan-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032055032
  • ISBN-13: 9783032055033
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Distributed Computing and Artificial Intelligence, Special Sessions III, 22nd International ConferenceSuurem pilt
  • Formaat: Paperback / softback, 91 pages, kõrgus x laius: 235x155 mm, 21 Illustrations, color; 2 Illustrations, black and white
  • Sari: Lecture Notes in Networks and Systems
  • Ilmumisaeg: 03-Jan-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032055032
  • ISBN-13: 9783032055033
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783032055033.html
Märksõnad:

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.

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.