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231206 ||| eng |
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|a 9789819979691
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|a Anutariya, Chutiporn
|e [editor]
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|a Data Science and Artificial Intelligence
|h Elektronische Ressource
|b First International Conference, DSAI 2023, Bangkok, Thailand, November 27–29, 2023, Proceedings
|c edited by Chutiporn Anutariya, Marcello M. Bonsangue
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|a 1st ed. 2023
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|a Singapore
|b Springer Nature Singapore
|c 2023, 2023
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300 |
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|a XXIII, 362 p. 121 illus., 91 illus. in color
|b online resource
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|a Foundations of Data Science and AI -- Data Mining and Machine Learning -- Deep Learning -- Image Analysis and Object Recognition -- Large Language Models -- Data Science and AI in Healthcare -- AI and Creativity -- Data Science and AI in Education.
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653 |
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|a Artificial intelligence / Data processing
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|a Machine learning
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|a Machine Learning
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|a Computer vision
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653 |
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|a Artificial Intelligence
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653 |
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|a Computer Vision
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653 |
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|a Artificial intelligence
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|a Natural Language Processing (NLP)
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653 |
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|a Natural language processing (Computer science)
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|a Data Science
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|a Bonsangue, Marcello M.
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Communications in Computer and Information Science
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|a 10.1007/978-981-99-7969-1
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|u https://doi.org/10.1007/978-981-99-7969-1?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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|a This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27–30, 2023. The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence
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