UID:
almahu_9949986307602882
Umfang:
VII, 302 p. 342 illus., 47 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2025.
ISBN:
9783031850677
Serie:
Lecture Notes in Networks and Systems, 1303
Inhalt:
This book discovers groundbreaking advancements in artificial intelligence with innovative solutions for real-world challenges. This book showcases state-of-the-art methodologies like deep learning and transfer learning to tackle sentiment analysis, fake news detection, and multi-dialectal named entity recognition, with a special focus on Arabic language technologies. Bridging the gap between research and practice, it highlights topics such as knowledge extraction, AI ethics, and the societal impacts of big data. Targeted at researchers, educators, and professionals, it serves as a vital guide for beginners and a comprehensive reference for experts seeking to stay ahead in the rapidly evolving field of AI.
Anmerkung:
Copula-based dependence modeling -- Focus Spatial Data Analysis -- Geographically and Temporally Weighted Regression.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031850660
Weitere Ausg.:
Printed edition: ISBN 9783031850684
Sprache:
Englisch
DOI:
10.1007/978-3-031-85067-7
URL:
https://doi.org/10.1007/978-3-031-85067-7
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