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Intelligent Systems and Applications : Proceedings of the 2025 Intelligent Systems Conference (IntelliSys) Volume 2 / edited by Kohei Arai.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online
View online- Format:
- Book
- Author/Creator:
- Arai, Kohei.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1567
- 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 (913 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:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-00071-8
- OCLC:
- 1534805554
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