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Computational Science and Computational Intelligence : 11th International Conference, CSCI 2024, Las Vegas, NV, USA, December 11–13, 2024, Proceedings, Part VII / 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 ; 2507
- 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 (554 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- This CCIS book constitutes selected papers accepted in the Research Track on Health Informatics and Medical Systems and the Research Track on Computational Biology held as part 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 Research Track on Health Informatics and Medical Systems, CSCI-RTHI, received 115 submissions of which 25 papers were accepted; this volume contains 23 of those papers. For the Research Track on Computational Biology, CSCI-RTCB, 10 papers were accepted from 55 submissions; this volume contains 9 of those papers. The contributions were organized in topical sections on Health Informatics and Medical Systems and Computational Biology.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-94950-1
- OCLC:
- 1544976148
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