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Computational Science and Computational Intelligence : 11th International Conference, CSCI 2024, Las Vegas, NV, USA, December 11–13, 2024, Proceedings, Part III / edited by Hamid R. Arabnia, Leonidas Deligiannidis, Farzan Shenavarmasouleh, Soheyla Amirian, Farid Ghareh Mohammadi.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online
View online- Format:
- Book
- Author/Creator:
- Arabnia, Hamid R.
- Series:
- Communications in Computer and Information Science, 1865-0937 ; 2503
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Computational linguistics.
- Machine learning.
- Natural language processing (Computer science).
- Computational Intelligence.
- Artificial Intelligence.
- Computational Linguistics.
- Machine Learning.
- Natural Language Processing (NLP).
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Computational Linguistics.
- Machine Learning.
- Natural Language Processing (NLP).
- Physical Description:
- 1 online resource (435 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- The CCIS book constitutes selected papers accepted in the Research Track on Artificial Intelligence of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11–13, 2024. The 25 full papers included in this book were carefully reviewed and selected from a total of 383 submissions. They were organized in topical sections on machine learning, neural networks, knowledge graphs, and applications; artificial intelligence and novel applications; and computational intelligence and applications.
- Contents:
- Machine learning, neural networks, knowledge graphs, and applications
- artificial intelligence and novel applications
- computational intelligence and applications.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-94940-4
- OCLC:
- 1544972872
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