Intelligent Systems 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part I

The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Belém do Pará, Brazil, during November 18-21, 2024.
The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.

Dettagli sul prodotto

• Con la collaborazione di: Filipe A. N. Verri (Editore), Aline Paes (Editore), A N Verri (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 04.01.2025
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
• EAN: 9783031790287
• ISBN: 978-3-0-3179028-7
• Numero di pagine: 490
• Illustrazioni: XVIII, 490 p. 137 illus., 111 illus. in color.
• Dimensioni (della confezione): 15.5 x 2.7 x 23.5 cm
• Peso (della confezione): 762 g
• Serie: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Categorie: machine learning, Lehrmittel, Lerntechnologien, E-Learning, Data Mining, Artificial Intelligence, Deep Learning, Netzwerk-Hardware, Wissensbasierte Systeme, Expertensysteme, Reinforcement Learning, Natural Language Processing, Explainable AI, Computer Communication Networks, Data Mining and Knowledge Discovery, Computers and Education, Smart Cities, Computer Application in Social and Behavioral Sciences, Speech recognition, information extraction, metaheuristics, Evolutionary Algorithms, Logics and Semantics, Federated Learning, Human Activity Recognition, AutoML, AI for Education, AI for Social Good, Time Series Forecasting, Fair AI