Vai al contenuto principale della pagina
| Autore: |
Arabnia Hamid R
|
| Titolo: |
Computational Science and Computational Intelligence : 11th International Conference, CSCI 2024, Las Vegas, NV, USA, December 11–13, 2024, Proceedings, Part III / / edited by Hamid R. Arabnia, Leonidas Deligiannidis, Farzan Shenavarmasouleh, Soheyla Amirian, Farid Ghareh Mohammadi
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (435 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Computational linguistics | |
| Machine learning | |
| Natural language processing (Computer science) | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Computational Linguistics | |
| Machine Learning | |
| Natural Language Processing (NLP) | |
| Altri autori: |
DeligiannidisLeonidas
ShenavarmasoulehFarzan
AmirianSoheyla
Ghareh MohammadiFarid
|
| Nota di contenuto: | Machine learning, neural networks, knowledge graphs, and applications -- artificial intelligence and novel applications -- computational intelligence and applications. |
| Sommario/riassunto: | The CCIS book constitutes selected papers accepted in the Research Track on Artificial Intelligence of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11–13, 2024. The 25 full papers included in this book were carefully reviewed and selected from a total of 383 submissions. They were organized in topical sections on machine learning, neural networks, knowledge graphs, and applications; artificial intelligence and novel applications; and computational intelligence and applications. |
| Titolo autorizzato: | Computational Science and Computational Intelligence ![]() |
| ISBN: | 3-031-94940-4 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911021150403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |