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| Autore: |
Gupta Rajeev
|
| Titolo: |
Big Data and Artificial Intelligence : 13th International Conference, BDA 2025, Bangalore, India, July 17–20, 2025, Proceedings / / edited by Rajeev Gupta, Deepak P., Jun Shen, Srinath Srinivasa, Vinu Ellampallil Venugopal, Uttam Kumar
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Edizione: | 1st ed. 2026. |
| Descrizione fisica: | 1 online resource (504 pages) |
| Disciplina: | 006.312 |
| Soggetto topico: | Data mining |
| Machine learning | |
| Computers, Special purpose | |
| Social sciences - Data processing | |
| Education - Data processing | |
| Data Mining and Knowledge Discovery | |
| Machine Learning | |
| Special Purpose and Application-Based Systems | |
| Computer Application in Social and Behavioral Sciences | |
| Computers and Education | |
| Altri autori: |
Gupta
|
| Sommario/riassunto: | This book constitutes the proceedings of the 13th International Conference on Big Data and Artificial Intelligence, BDA 2025, held in Bangalore, India, during July 17–20, 2025. The 15 full papers and 13 short papers included in this book were carefully reviewed and selected from 104 submissions. They were organized in topical sections as follows: Language Understanding and Interactive AI; Learning Paradigms and Optimisations; ML Frameworks and System-Level Intelligence; Deep Learning Architectures and Model Design; Deep Learning Architecture and Adaptations; Domain-Specific AI Models; and Fine-Tuning and Generative Modeling Techniques. |
| Titolo autorizzato: | Big Data and Artificial Intelligence ![]() |
| ISBN: | 9783032151346 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996710860703316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |