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Titolo: | Human Centered Computing : 5th International Conference, HCC 2019, Čačak, Serbia, August 5–7, 2019, Revised Selected Papers / / edited by Danijela Milošević, Yong Tang, Qiaohong Zu |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Edizione: | 1st ed. 2019. |
Descrizione fisica: | 1 online resource (XXII, 709 p. 358 illus., 229 illus. in color.) |
Disciplina: | 004.019 |
Soggetto topico: | Computer communication systems |
Optical data processing | |
Architecture, Computer | |
Machine learning | |
Database management | |
Data mining | |
Computer Communication Networks | |
Image Processing and Computer Vision | |
Computer System Implementation | |
Machine Learning | |
Database Management | |
Data Mining and Knowledge Discovery | |
Persona (resp. second.): | MiloševićDanijela |
TangYong | |
ZuQiaohong | |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | Human Centered Computing -- Hyperconnectivity -- Internet of Things -- Mobile Computing -- Mobile Communication -- Wireless Network, -- Semantic Technologies -- IoT applications, -- Smart Environment -- Smart City -- Smart supply chain, -- Pervasive Collaboration -- Collective Intelligence. Context Awareness -- Smart/Mobile Application in Healthcare -- Web society. |
Sommario/riassunto: | This book constitutes thoroughly reviewed, revised and selected papers from the 5th International Conference on Human Centered Computing, HCC 2019, held in Čačak, Serbia, in August 2019. The 48 full and 23 short papers presented in this volume were carefully reviewed and selected from a total of 133 submissions. The papers focus on deep learning and its applications on a variety of real-life problems, ranging from image/video analysis, to human-computer interaction, and to logistics and supply chain management. |
Titolo autorizzato: | Human Centered Computing |
ISBN: | 3-030-37429-7 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910370258703321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |