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Intelligent Systems and Applications: Proceedings of the 2025 Intelligent Systems Conference (IntelliSys) Volume 2 [Pehme köide]

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  • Formaat: Paperback / softback, 716 pages, kõrgus x laius: 235x155 mm, 146 Illustrations, color; 100 Illustrations, black and white; X, 716 p. 246 illus., 146 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1567
  • Ilmumisaeg: 03-Sep-2025
  • Kirjastus: Springer
  • ISBN-10: 303200070X
  • ISBN-13: 9783032000705
Teised raamatud teemal:
  • Formaat: Paperback / softback, 716 pages, kõrgus x laius: 235x155 mm, 146 Illustrations, color; 100 Illustrations, black and white; X, 716 p. 246 illus., 146 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1567
  • Ilmumisaeg: 03-Sep-2025
  • Kirjastus: Springer
  • ISBN-10: 303200070X
  • ISBN-13: 9783032000705
Teised raamatud teemal:
The 11th Intelligent Systems Conference (IntelliSys) 2025, held in Amsterdam, The Netherlands, from 28 29 August 2025, brought together researchers, practitioners, and experts from around the world to share advancements in intelligent technologies. Conducted in a hybrid format, the conference facilitated global collaboration and participation.This volume presents a curated selection of 169 peer-reviewed papers from a total of 470 submissions, covering key areas such as Artificial Intelligence, Computer Vision, Robotics, and Intelligent Systems. The contributions reflect the latest research trends, practical applications, and emerging challenges in these domains.We hope that these proceedings serve as a valuable resource for researchers, practitioners, and students, and that they inspire future work and collaborations in the field of intelligent systems.

IoT for Sustainable and Intelligent Health Care.- Literature Review on Architecture for Smart Product Service Systems.- Personalized Healthcare Using AI and IoT.- Modeling the Relationship Between Traffic Intensity and Urban Air Pollution with LSTM Networks.- Multi Timescale Traffic Intensity Forecasting.- Extraction of Entities from Stock Analyst Reports via Language Models.- Repeated Clustering of Scores Improving the Precision.