000 02819nam a22003735i 4500
001 393939
003 ES-MaUEC
005 20230102123037.0
007 cr nn 008mamaa
008 220909s2022 sz | s |||| 0|eng d
020 _a9783031063077
024 7 _a10.1007/978-3-031-06307-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aICT Applications for Smart Cities
_cedited by Angel D Sappa
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XIII, 203 páginas)
_b92 ilustraciones, 82 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aIntelligent Systems Reference Library
_x1868-4408
_v224
505 0 _aArt 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.
520 _aThis 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. .
700 1 _aSappa, Angel D
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783031063060
776 0 8 _iPrinted edition:
_z9783031063084
776 0 8 _iPrinted edition:
_z9783031063091
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-06307-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Robotics_2022
999 _c393939
_d393939