ICT Applications for Smart Cities / edited by Angel D. Sappa

Mitwirkende(r):

Sappa, Angel D [HerausgeberIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Intelligent Systems Reference Library ; 224Verlag: Cham : Springer International Publishing, 2022Verlag: Cham : Imprint: Springer, 2022Auflage: 1st ed. 2022Beschreibung: 1 Online-Ressource(XIII, 203 p. 92 illus., 82 illus. in color.)ISBN:

9783031063077

Schlagwörter:

Andere physische Formen: 9783031063060 | 9783031063084 | 9783031063091 | Erscheint auch als: 9783031063060 Druck-Ausgabe | Erscheint auch als: 9783031063084 Druck-Ausgabe | Erscheint auch als: 9783031063091 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-06307-7Online-Ressourcen:

Zusammenfassung: Art Graffiti Detection in Urban Images using Deep Learning -- Deep Neural Networks for Passengers’ Density Estimation and Face Mask Detection for COVID-19 in Public Transportation Services -- Epistemic Uncertainty Quantification in Human Trajectory Prediction.Zusammenfassung: This book is the result of four-year work in the framework of the Ibero-American Research Network TICs4CI funded by the CYTED program. In the following decades, 85% of the world's population is expected to live in cities; hence, urban centers should be prepared to provide smart solutions for problems ranging from video surveillance and intelligent mobility to the solid waste recycling processes, just to mention a few. More specifically, the book describes underlying technologies and practical implementations of several successful case studies of ICTs developed in the following smart city areas: • Urban environment monitoring • Intelligent mobility • Waste recycling processes • Video surveillance • Computer-aided diagnose in healthcare systems • Computer vision-based approaches for efficiency in production processes The book is intended for researchers and engineers in the field of ICTs for smart cities, as well as to anyone who wants to know about state-of-the-art approaches and challenges on this field. .PPN: PPN: 1816515779Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT

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