Intelligent Systems

Reinaldo A. C. Bianchi

ISBN 10: 3031453883 / ISBN 13: 9783031453885

Verlag: Springer Nature Switzerland, Springer Nature Switzerland Okt 2023, 2023

Beschreibung

Neuware -The three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023.The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows:Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models;Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis;Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 452 pp. Englisch.

Bestandsnummer des Verkäufers 9783031453885

Bibliografische Details

• Titel: Intelligent Systems
• Verlag: Springer Nature Switzerland, Springer Nature Switzerland Okt 2023
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 3031453883
• ISBN-13: 9783031453885
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

The three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023.

The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows:

Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; 

Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis;

Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications.