000 02312 a2200373 4500
001 23817027
003 000
005 20251014152502.0
008 240809s2025 flu b 001 0 eng
010 _a 2024036314
020 _a9781032754154
035 _a23817027
040 _aDLC
_beng
_erda
_cDLC
_dDLC
042 _apcc
050 0 0 _aTD 159.4 .W36
082 0 0 _a307.1/416
_223/eng/20241125
100 1 _aWang, Yang
_c(Data scientist),
_eauthor.
245 1 0 _aData analytics for smart infrastructure :
_basset management and network performance /
_cYang Wang, Zhidong Li, Ting Guo, Bin Liang, Hongda Tian, Fang Chen.
250 _aFirst edition.
263 _a2501
264 1 _aBoca Raton, FL :
_bCRC Press,
_c2025.
300 _axiii, 188p. ill.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index.
520 _a"This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade's experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The volume gives data-driven solutions to cover critical capabilities for infrastructure and asset management across three domains: 1) situation awareness 2) predictive analytics and 3) decision support. The reader will gain from various data analytic techniques including anomaly detection, performance evaluation, failure prediction, trend analysis, asset prioritization, smart sensing and real-time/online systems. These data analytic techniques are vital to solving problems in infrastructure and asset management. The reader will benefit from case studies drawn from critical infrastructures such as water management, structural health monitoring and rail networks. This groundbreaking work will be essential reading for those studying and practicing analytics in the context of smart infrastructure"--
_cProvided by publisher.
650 0 _aSmart cities.
650 0 _aPublic works
_xManagemeng
_xData processing.
650 0 _aNetwork performance (Telecommunication)
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2lcc
_cBK
999 _c43759
_d43759