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Intelligent Systems and Applications : Proceedings of the 2025 Intelligent Systems Conference (IntelliSys) Volume 4 / edited by Kohei Arai.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

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Format:
Book
Author/Creator:
Arai, Kohei.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1554
Language:
English
Subjects (All):
Computational intelligence.
Automatic control.
Robotics.
Automation.
Artificial intelligence.
Computational Intelligence.
Control, Robotics, Automation.
Artificial Intelligence.
Local Subjects:
Computational Intelligence.
Control, Robotics, Automation.
Artificial Intelligence.
Physical Description:
1 online resource (954 pages)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
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.
Contents:
Analyzing the Role of Fusing Image and Time Series Data in Forecasting Rainfall-Induced Landslides
GenAI Chatbots as Agents in a Community of Inquiry: Exploring Their Role in Online Distance Learning
Behavior Design for Building Trust on Smart Home-Based Food Intake Monitoring System for Older Adults
Quantitative Assessment of a Communication Architecture for Smart Manufacturing.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-031-99965-7
OCLC:
1534192866

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