Data Science and Artificial Intelligence -

Data Science and Artificial Intelligence

First International Conference, DSAI 2023, Bangkok, Thailand, November 27–29, 2023, Proceedings
Buch | Softcover
362 Seiten
2023 | 1st ed. 2023
Springer Verlag, Singapore
978-981-99-7968-4 (ISBN)
117,69 inkl. MwSt
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 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.

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. 

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo 91 Illustrations, color; 30 Illustrations, black and white; XXIII, 362 p. 121 illus., 91 illus. in color.
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte artificial intelligence and creativity • data science and artificial intelligence in education • data science and artificial intelligence in healthcare • Data Security • Deep learning • foundations of data science and artificial intelligence • image analysis and object recognition • Large Language Models • machine learning
ISBN-10 981-99-7968-4 / 9819979684
ISBN-13 978-981-99-7968-4 / 9789819979684
Zustand Neuware
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