Progress in Artificial Intelligence 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part III /

The 3-volume set LNAI 14967, 14968, and 14969 constitutes the proceedings of the 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, held in Viana do Castelo, Portugal, during September 3–6, 2024. The 94 full papers presented in these proceedings were carefully reviewed and selected from 187...

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Kaituhi rangatōpū: SpringerLink (Online service)
Ētahi atu kaituhi: Santos, Manuel Filipe (Editor), Machado, José (Editor), Novais, Paulo (Editor), Cortez, Paulo (Editor), Moreira, Pedro Miguel (Editor)
Hōputu: Tāhiko īPukapuka
Reo:Ingarihi
I whakaputaina: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Putanga:1st ed. 2025.
Rangatū:Lecture Notes in Artificial Intelligence, 14969
Ngā marau:
Urunga tuihono:https://doi.org/10.1007/978-3-031-73503-5
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Whakaahuatanga
Whakarāpopototanga:The 3-volume set LNAI 14967, 14968, and 14969 constitutes the proceedings of the 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, held in Viana do Castelo, Portugal, during September 3–6, 2024. The 94 full papers presented in these proceedings were carefully reviewed and selected from 187 submissions. The papers are organized in the following topical sections: Volume I: AI and Creativity (AIC); Ambient Intelligence and Affective Environments (AmIA); Artificial Intelligence and IoT in Agriculture (AIoTA); Artificial Intelligence and Law (AIL); and Artificial Intelligence for Industry and Societies (AI4IS). Volume II: Artificial Intelligence in Medicine (AIM); Artificial Intelligence in Power and Energy Systems (AIPES); Artificial Intelligence in Transportation Systems (AITS); Ethics and Responsibility in AI (ERAI); and General AI (GAI). Volume III: Generative AI – Foundations and Applications (GenAI); Intelligent Robotics (IROBOT); Knowledge Discovery and Business Intelligence (KDBI); Natural Language Processing, Text Mining and Applications (TeMA); and Data-Centric AI – Solutions and Emerging Technologies (DCenAI).
Whakaahuatanga ōkiko:XXVI, 376 p. 102 illus., 84 illus. in color. online resource.
ISBN:9783031735035
ISSN:2945-9141 ;
DOI:10.1007/978-3-031-73503-5