Internet of Things of Big Data for Healthcare [electronic resource] : 5th International Workshop, IoTBDH 2023, Birmingham, UK, October 21-25, 2023, Proceedings / edited by Jun Qi, Po Yang.
Tipo de material:
TextoSeries Communications in Computer and Information Science ; 2019Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: X, 138 p. 50 illus., 44 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031522161Tema(s): Artificial intelligence | Computer engineering | Computer networks | Database management | Computer systems | Application software | Artificial Intelligence | Computer Engineering and Networks | Database Management System | Computer System Implementation | Computer and Information Systems Applications | Computer Communication NetworksFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TA347.A78Recursos en línea: Libro electrónico
En: Springer Nature eBookResumen: This book constitutes the 5th International Workshop, IoTBDH 2023, held in Birmingham, UK, during October 21-25, 2023. The 7 full papers and 4 short papers included in this volume were carefully reviewed and selected from 33 submissions. They focus on the state-of-the-art research and applications in utilizing IoT and big data technology for healthcare by presenting efficient scientific and engineering solutions, addressing the needs and challenges for integration with new technologies, and providing visions for future research and development.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
This book constitutes the 5th International Workshop, IoTBDH 2023, held in Birmingham, UK, during October 21-25, 2023. The 7 full papers and 4 short papers included in this volume were carefully reviewed and selected from 33 submissions. They focus on the state-of-the-art research and applications in utilizing IoT and big data technology for healthcare by presenting efficient scientific and engineering solutions, addressing the needs and challenges for integration with new technologies, and providing visions for future research and development.
UABC ; Perpetuidad
