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Intelligent Systems and Data Science : First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part II / edited by Nguyen Thai-Nghe, Thanh-Nghi Do, Peter Haddawy.
Springer Nature - Springer Computer Science eBooks 2024 English International Available online
View online- Format:
- Book
- Series:
- Communications in Computer and Information Science, 1865-0937 ; 1950
- Language:
- English
- Subjects (All):
- Application software.
- Artificial intelligence.
- Artificial intelligence--Data processing.
- Machine learning.
- Natural language processing (Computer science).
- Big data.
- Computer and Information Systems Applications.
- Intelligence Infrastructure.
- Data Science.
- Machine Learning.
- Natural Language Processing (NLP).
- Big Data.
- Local Subjects:
- Computer and Information Systems Applications.
- Intelligence Infrastructure.
- Data Science.
- Machine Learning.
- Natural Language Processing (NLP).
- Big Data.
- Physical Description:
- 1 online resource (325 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
- Summary:
- This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023, held in Can Tho, Vietnam, in November 2023. The 35 full papers and 13 short papers presented were thoroughly reviewed and selected from 123 submissions. They are organized in the following topical sections: applied intelligent systems and data science for agriculture, aquaculture, and biomedicine; big data, IoT, and cloud computing; deep learning and natural language processing; intelligent systems.
- Contents:
- Applied Intelligent Systems and Data science for Agriculture, Aquaculture, and Biomedicine
- Big Data, IoT, and Cloud Computing
- Deep Learning and Natural Language Processing
- Intelligent Systems.
- Notes:
- Includes bibliographical references and index.
- Other Format:
- Print version: Thai-Nghe, Nguyen Intelligent Systems and Data Science
- ISBN:
- 981-9976-66-9
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