LEADER 05221nam 22006735 450 001 9910483811403321 005 20251113174549.0 010 $a9783030630683 010 $a3030630684 024 7 $a10.1007/978-3-030-63068-3 035 $a(CKB)4100000011902479 035 $a(MiAaPQ)EBC6577318 035 $a(Au-PeEL)EBL6577318 035 $a(OCoLC)1249472153 035 $a(DE-He213)978-3-030-63068-3 035 $a(EXLCZ)994100000011902479 100 $a20210427d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence Applications for Smart Societies $eRecent Advances /$fedited by Mohamed Elhoseny, K. Shankar, Mohamed Abdel-Basset 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (249 pages) 225 1 $aStudies in Distributed Intelligence,$x2662-3714 311 08$a9783030630676 311 08$a3030630676 327 $aChapter 1-Simulation, deployment, and testbed platforms for WSNs in Smart Cities. -- Chapter 2-Accessibility, resilience, and security of IoT infrastructures for Smart Cities. -- Chapter 3-Real-time information systems for intelligent transportation systems in Smart Cities. -- Chapter 4-Mobile apps and WSN applications integrated in Smart Cities. -- Chapter 5-AI techniques for devices and embedded systems in Smart Cities. -- Chapter 6-Data processing. -- Chapter 7-Self-learning. -- Chapter 8-Computing and sensing infrastructures. -- Chapter 9-Evolutionary algorithms for data mining in IoT based smart societies. -- Chapter 10-Cloud computing-based evolutionary algorithms for IoT. -- Chapter 11-Artificial intelligence algorithms for processing medical data in IoT. -- Chapter 12-Machine learning for data processing in IoT based smart societies. -- Chapter 13-Intelligent face recognition system using neural learning for smart security in IoT. -- Chapter 14-Distributed attack detection using a deep neural network approach for IoT. -- Chapter 15-Modeling and optimizing features selection in data system-based social IoT. -- Chapter 16-Crowdsourcing systems and services for smart cities. -- Chapter 17-Network communications technology for smart cities. -- Chapter 18-Human mobility models for smart cities. -- Chapter 19-Application of pervasive and mobile computing technology for smart cities. -- Chapter 20-Safety, security, privacy and trust in applications and services for smart cities. -- Chapter 21-Fault tolerance, reliability and survivability in smart cities. -- Chapter 22-Multi-sourced heterogeneous data acquisition and fusion for smart cities. -- Chapter 23-Case studies and test beds. 330 $aThis volume discusses recent advances in Artificial Intelligence (AI) applications in smart, internet-connected societies, highlighting three key focus areas. The first focus is on intelligent sensing applications. This section details the integration of Wireless Sensing Networks (WSN) and the use of intelligent platforms for WSN applications in urban infrastructures, and discusses AI techniques on hardware and software systems such as machine learning, pattern recognition, expert systems, neural networks, genetic algorithms, and intelligent control in transportation and communications systems. The second focus is on AI-based Internet of Things (IoT) systems, which addresses applications in traffic management, medical health, smart homes and energy. Readers will also learn about how AI can extract useful information from Big Data in IoT systems. The third focus is on crowdsourcing (CS) and computing for smart cities. this section discusses how CS via GPS devices, GIStools, traffic cameras, smart cards, smart phones and road deceleration devices enables citizens to collect and share data to make cities smart, and how these data can be applied to address urban issues including pollution, traffic congestion, public safety and increased energy consumption. This book will of interest to academics, researchers and students studying AI, cloud computing, IoT and crowdsourcing in urban applications. 410 0$aStudies in Distributed Intelligence,$x2662-3714 606 $aSociology, Urban 606 $aMachine learning 606 $aComputational intelligence 606 $aQuantitative research 606 $aUrban Sociology 606 $aMachine Learning 606 $aComputational Intelligence 606 $aData Analysis and Big Data 615 0$aSociology, Urban. 615 0$aMachine learning. 615 0$aComputational intelligence. 615 0$aQuantitative research. 615 14$aUrban Sociology. 615 24$aMachine Learning. 615 24$aComputational Intelligence. 615 24$aData Analysis and Big Data. 676 $a006.3 702 $aElhoseny$b Mohamed 702 $aShankar$b K. 702 $aAbdel-Basset$b Mohamed 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483811403321 996 $aArtificial intelligence applications for smart societies$92557663 997 $aUNINA