Collaborative technologies and data science in artificial intelligence applications / / Aram Hajian, Nelson Baloian, Tomoo Inoue [and one other] (eds.)

• Autore: Hajian Aram
• Pubblicazione: Berlin/Germany, : Logos Verlag Berlin, 2020; Berlin, Germany : , : Logos Verlag Berlin GmbH, , 2020
• Descrizione fisica: 1 online resource (190 pages) : illustrations; digital file(s)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Information theory
• Soggetto non controllato: Data science; Collaborative technologies; Artificial neural networks; Deep learning; Smart human centered computing
• Persona (resp. second.): HajianAram; BaloianNelson; InoueTomoo
• Note generali: 2nd International Workshop at the American University of Armenia, College of Science & Engineering : September 14 to September 17, 2020.
• Nota di bibliografia: Includes bibliographical references.
• Sommario/riassunto: In September 2020, researchers from Armenia, Chile, Germany and Japan met at the American University of Armenia for a virtual conference to discuss technologies with applications in smart cities, data science and information theory approaches for intelligent systems, technical challenges for intelligent environments, smart human centered computing, artificial neural networks, and deep learning. This book presents their contributions to the 2nd CODASSCA workshop on collaborative technologies and data science in artificial intelligence applications, a highly topical issue in today's computer science.
• Titolo autorizzato: Collaborative technologies and data science in artificial intelligence applications
• ISBN: 9783832551414
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910418343503321
• Lo trovi qui: Univ. Federico II