Intelligent Systems

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Bol 27 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 38 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application. The four-volume set LNAI 16179-16182 constitutes the refereed proceedings of the 35th Brazilian Conference on Intelligent Systems, BRACIS 2025, held in Fortaleza-CE, Brazil, during September 29 - October 2, 2025. The 147 full papers included in these volumes were carefully reviewed and selected from 393 submissions. They were organized in three key tracks: 82 articles in the main track, showcasing cutting-edge AI methods and solid results; 27 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 38 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.

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27 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 38 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application. The four-volume set LNAI 16179-16182 constitutes the refereed proceedings of the 35th Brazilian Conference on Intelligent Systems, BRACIS 2025, held in Fortaleza-CE, Brazil, during September 29 - October 2, 2025. The 147 full papers included in these volumes were carefully reviewed and selected from 393 submissions. They were organized in three key tracks: 82 articles in the main track, showcasing cutting-edge AI methods and solid results; 27 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 38 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.


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  • 9783032159830
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