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| Titolo: |
Creativity in Intelligent Technologies and Data Science : Third Conference, CIT&DS 2019, Volgograd, Russia, September 16–19, 2019, Proceedings, Part I / / edited by Alla G. Kravets, Peter P. Groumpos, Maxim Shcherbakov, Marina Kultsova
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Edizione: | 1st ed. 2019. |
| Descrizione fisica: | 1 online resource (XVIII, 437 p. 179 illus., 113 illus. in color.) |
| Disciplina: | 005.7 |
| 006.3 | |
| Soggetto topico: | Computer networks |
| Artificial intelligence | |
| Electronic digital computers - Evaluation | |
| Cryptography | |
| Data encryption (Computer science) | |
| Data protection | |
| Computer Communication Networks | |
| Artificial Intelligence | |
| System Performance and Evaluation | |
| Cryptology | |
| Data and Information Security | |
| Persona (resp. second.): | KravetsAlla G |
| GroumposPeter P | |
| ShcherbakovMaxim | |
| KultsovaMarina | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Cyber-Physical Systems and Big Data-driven world. Pro-Active Modeling in Intelligent Decision Making Support -- Cyber-Physical Systems and Big Data-driven world. De-sign Creativity in CASE/CAI/CAD/PDM -- Cyber-Physical Systems and Big Data-driven world. Intelligent Internet of Services and Internet of Things. |
| Sommario/riassunto: | This two-volume set constitutes the proceedings of the Third Conference on Creativity in Intellectual Technologies and Data Science, CIT&DS 2019, held in Volgograd, Russia, in September 2019. The 67 full papers, 1 short paper and 3 keynote papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in topical sections in the two volumes. Part I: cyber-physical systems and Big Data-driven world. Part II: artificial intelligence and deep learning technologies for creative tasks; intelligent technologies in social engineering. |
| Titolo autorizzato: | Creativity in Intelligent Technologies and Data Science ![]() |
| ISBN: | 3-030-29743-8 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910349287103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |