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020 _a9783030041106
024 7 _a10.1007/978-3-030-04110-6
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aQ335
_b2019 EB
245 0 0 _aArtificial Intelligence in IoT
_cedited by Fadi Al-Turjman.
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019.
300 _a1 recurso en línea (XI, 231 páginas)
_b79 ilustraciones, 73 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
490 0 _aTransactions on Computational Science and Computational Intelligence
_x2569-7072
505 0 _aChapter1: A Systematic Review of the Convergence of Augmented Reality, Intelligent Virtual Agents, and the Internet of Things -- Chapter2: Improving the Physical Layer Security in IoT-5G Systems -- Chapter3: Emotional ANN (EANN): A New Generation of Neural Networks for Hydrological Modeling in IoT -- Chapter4: Smart Tourism Destination in Smart-cities Paradigm: A Model for Antalya -- Chapter5: A Hybrid approach for image segmentation in the IoT Era -- Chapter6: Big Data Analytics for Intelligent Internet of Things -- Chapter7: Blockchain and Internet of Things-Based Technologies for Intelligent Water Management System -- Chapter8: Digital Forensics for Frame Rate Up-Conversion in Wireless Sensor Network -- Chapter9: A Neuro Fuzzy Based Multi Criteria Risk Evaluation Approach: A Case Study of Underground Mining -- Chapter10:Intelligent IoT Communication in Smart Environments: An Overview.
520 3 _aThis book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion. The aim of this book is hence to focus on both the algorithmic and practical parts of the artificial intelligence approaches in IoT applications that are enabled and supported by wireless sensor networks and cellular networks. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent wireless/wired enabling technologies. Includes the most up-to-date research and applications related to IoT artificial intelligence (AI); Provides new and innovative operational ideas regarding the IoT artificial intelligence that help advance the telecommunications industry; Presents AI challenges facing the IoT scientists and provides potential ways to solve them in critical daily life issues.
988 _aPrimersemestre_2019_Engineering
650 7 _2embne
_aInteligencia artificial
_9413115
650 7 _2embne
_9483083
_aInternet de los objetos
700 1 _aAl-Turjman, Fadi.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030041090
776 0 8 _iPrinted edition:
_z9783030041113
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-04110-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b10/2019
_ek
_zSI