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The book covers the integration of Internet of Things (IoT) and
Artificial Intelligence (AI) to tackle applications in smart
healthcare. The authors discuss efficient means to collect,
monitor, control, optimize, model, and predict healthcare data
using AI and IoT. The book presents the many advantages and
improvements in the smart healthcare field, in which ubiquitous
computing and traditional computational methods alone are often
inadequate. AI techniques are presented that play a crucial role in
dealing with large amounts of heterogeneous, multi-scale and
multi-modal data coming from IoT infrastructures. The book is
intended to cover how the fusion of IoT and AI allows the design of
models, methodologies, algorithms, evaluation benchmarks, and tools
can address challenging problems related to health informatics,
healthcare, and wellbeing.
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New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022, Proceedings (Paperback, 1st ed. 2022)
Silvia Chiusano, Tania Cerquitelli, Robert Wrembel, Kjetil Norvag, Barbara Catania, …
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R3,337
Discovery Miles 33 370
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 26th European
Conference on Advances in Databases and Information Systems, ADBIS
2022, held in Turin, Italy, in September 2022. The 29 short papers
presented were carefully reviewed and selected from 90 submissions.
The selected short papers are organized in the following sections:
data understanding, modeling and visualization; fairness in data
processing; data management pipeline, information and process
retrieval; data access optimization; data pre-processing and
cleaning; data science and machine learning. Further, papers from
the following workshops and satellite events are provided in the
volume: DOING: 3rd Workshop on Intelligent Data - From Data to
Knowledge; K-GALS: 1st Workshop on Knowledge Graphs Analysis on a
Large Scale; MADEISD: 4th Workshop on Modern Approaches in Data
Engineering and Information System Design; MegaData: 2nd Workshop
on Advanced Data Systems Management, Engineering, and Analytics;
SWODCH: 2nd Workshop on Semantic Web and Ontology Design for
Cultural Heritage; Doctoral Consortium.
The book covers the integration of Internet of Things (IoT) and
Artificial Intelligence (AI) to tackle applications in smart
healthcare. The authors discuss efficient means to collect,
monitor, control, optimize, model, and predict healthcare data
using AI and IoT. The book presents the many advantages and
improvements in the smart healthcare field, in which ubiquitous
computing and traditional computational methods alone are often
inadequate. AI techniques are presented that play a crucial role in
dealing with large amounts of heterogeneous, multi-scale and
multi-modal data coming from IoT infrastructures. The book is
intended to cover how the fusion of IoT and AI allows the design of
models, methodologies, algorithms, evaluation benchmarks, and tools
can address challenging problems related to health informatics,
healthcare, and wellbeing.
|
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