Applications in Ubiquitous Computing / edited by Raman Kumar, Sara Paiva

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: EAI/Springer Innovations in Communication and ComputingPublisher: Cham : Springer International Publishing, 2021Publisher: Cham : Imprint: Springer, 2021Edition: 1st ed. 2021Description: 1 Online-Ressource(VIII, 276 p. 106 illus., 68 illus. in color.)ISBN:

9783030352806

Subject(s):

621.382 23

DOI: DOI: 10.1007/978-3-030-35280-6Online resources:

Summary: Introduction -- Computer Science and Engineering -- NLP -- Pattern recognition -- Data mining -- Knowledge discovery -- Feature extraction and selection -- Mechanical systems -- Condition monitoring and diagnostics -- Multi-objective optimization in design -- Control system design -- Manufacturing systems -- Development of data-driven models -- Multi-objective optimization of machining parameters -- Engineering management -- Inventory management -- Project selection -- Facility layout design -- Scheduling -- Health science -- Patient condition monitoring and diagnostics -- Clinical decision support systems -- Patient empowerment systems -- Business -- Market analysis and forecasting -- Credit rating -- Conclusion.Summary: This book takes a deep dive into ubiquitous computing for applications in health, business, education, tourism, and transportation. The rich interdisciplinary contents of the book appeal to readers from diverse disciplines who aspire to create new and innovative research initiatives and applications in ubiquitous computing. Topics include condition monitoring and diagnostics; multi-objective optimization in design, multi-objective optimization of machining parameters, and more. The book benefits researchers, advanced students, as well as practitioners interested in applications of ubiquitous computing. Features practical, tested applications in ubiquitous computing Includes applications such as health, business, education, electronics, tourism, and transportation Applicable to researchers, academics, students, and professionals.PPN: PPN: 172427970XPackage identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE

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