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Artificial Intelligence -

Artificial Intelligence

Third CAAI International Conference, CICAI 2023, Fuzhou, China, July 22–23, 2023, Revised Selected Papers, Part II
Buch | Softcover
591 Seiten
2024 | 1st ed. 2024
Springer Verlag, Singapore
978-981-99-9118-1 (ISBN)
CHF 134,80 inkl. MwSt
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This two-volume set LNAI 14473-14474 constitutes revised selected papers presented at the Third CAAI International Conference, CICAI 2023, in Fuzhou, China, in July 2023. CICAI is a summit forum in the field of artificial intelligence and the 2023 forum was hosted by Chinese Association for Artificial Intelligence (CAAI). The 100 papers were thoroughly reviewed and selected from 376 submissions. CICAI 2023 conference covers a wide range of of AI generated content, computer vision, machine learning, nature language processing, application of AI, and data mining, amongst others.

Computer Vision.- Data Mining.- Explainability, Understandability, and Verifiability of AI.- Natural Language Processing.- AI Ethics, Privacy, Fairness and Security.- AI Generated Content.- Applications of Artificial Intelligence.- Machine Learning.- Multidisciplinary Research with AI.- Other AI Related Topics.- Robotics.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo 180 Illustrations, color; 12 Illustrations, black and white
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Informatik Weitere Themen Hardware
Schlagworte Applications of Artificial Intelligence • Artificial Intelligence • computer vision • Data Mining • Explainability of AI • Granular Computing • Humans and Al • Image Analysis • image coding • Knowledge Representation and Reasoning • Large Models • machine learning • metaverse • Multidisciplinary Research with AI • Natural Language Processing • Object recognition • pattern recognition • Robotics • Signal Processing • Understandability of AI
ISBN-10 981-99-9118-8 / 9819991188
ISBN-13 978-981-99-9118-1 / 9789819991181
Zustand Neuware
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