PRICAI 2024: Trends in Artificial Intelligence (eBook)

21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part V
Artikelnummer: 978-981-9601-28-8
Einband: PDF
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The five-volume proceedings set LNAI 15281-15285, constitutes the refereed proceedings of the 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, held in Kyoto, Japan, in November 18-24, 2024.

The 145 full papers and 35 short papers included in this book were carefully reviewed and selected from 543 submissions.

The papers are organized in the following topical sections:

Part I: Machine Learning, Deep Learning

Part II: Deep Learning, Federated Learning, Generative AI, Natural Language Processing, Large Language Models,

Part III: Large Language Models, Computer Vision

Part IV: Computer Vision, Autonomous Driving, Agents and Multiagent Systems, Knowledge Graphs, Speech Processing, Optimization

Part V: Optimization, General Applications, Medical Applications, Theoretical Foundations of AI

The five-volume proceedings set LNAI 15281-15285, constitutes the refereed proceedings of the 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, held in Kyoto, Japan, in November 18-24, 2024.

The 145 full papers and 35 short papers included in this book were carefully reviewed and selected from 543 submissions.

The papers are organized in the following topical sections:

Part I: Machine Learning, Deep Learning

Part II: Deep Learning, Federated Learning, Generative AI, Natural Language Processing, Large Language Models,

Part III: Large Language Models, Computer Vision

Part IV: Computer Vision, Autonomous Driving, Agents and Multiagent Systems, Knowledge Graphs, Speech Processing, Optimization

Part V: Optimization, General Applications, Medical Applications, Theoretical Foundations of AI

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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2024
Seitenangabe278 S.
AusgabekennzeichenEnglisch
AbbildungenXXIII, 278 p. 91 illus., 84 illus. in color.
Masse41'625 KB
PlattformPDF
ReiheLecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Computer Science; Computer Science ; Springer Nature Proceedings Computer Science
AutorHadfi, Rafik (Hrsg.) / Anthony, Patricia (Hrsg.) / Sharma, Alok (Hrsg.) / Ito, Takayuki (Hrsg.) / Bai, Quan (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Computer Science; Computer Science (R0); Springer Nature Proceedings Computer Science"

Weitere Titel von Rafik (Hrsg.) Hadfi

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