Data Science and Emerging Technologies (eBook)

Proceedings of DaSET 2024

Yap Bee Wah, Dhiya Al-Jumeily, Michael W. Berry (Herausgeber)

eBook Download: PDF

2025
734 Seiten
Springer (Verlag)
978-981-96-7749-8 (ISBN)

Infos

The book presents selected papers from the Third International Conference on Data Science and Emerging Technologies (DaSET 2024), held hybrid at UNITAR International University. Malaysia, from December 11–12, 2024. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as generative AI, artificial intelligence and blockchain are useful for various domains such as marketing, health care, education, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in generative AI, computational, and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but are not limited to: generative AI, artificial intelligence, machine and deep learning, statistical learning, and health and industrial applications.

Produkt-Details

• Erscheint lt. Verlag: 28.11.2025
• Reihe/Serie: Lecture Notes on Data Engineering and Communications Technologies
• Zusatzinfo: XX, 734 p. 258 illus., 210 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Grafik / Design ► Digitale Bildverarbeitung
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Mathematik / Informatik ► Mathematik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: Artificial Intelligence • Blockchain • cybersecurity • Data Science • Emerging Technologies • Granular Computing • Proceedings of DaSET 2024 • Statistical Learning • Sustainable computing
• ISBN-10: 981-96-7749-1 / 9819677491
• ISBN-13: 978-981-96-7749-8 / 9789819677498