001436193 000__ 05339cam\a2200613\i\4500 001436193 001__ 1436193 001436193 003__ OCoLC 001436193 005__ 20230309004014.0 001436193 006__ m\\\\\o\\d\\\\\\\\ 001436193 007__ cr\un\nnnunnun 001436193 008__ 210501s2020\\\\sz\\\\\\ob\\\\001\0\eng\d 001436193 019__ $$a1249472153 001436193 020__ $$a9783030630683$$q(electronic bk.) 001436193 020__ $$a3030630684$$q(electronic bk.) 001436193 020__ $$z3030630676 001436193 020__ $$z9783030630676 001436193 0247_ $$a10.1007/978-3-030-63068-3$$2doi 001436193 035__ $$aSP(OCoLC)1249076816 001436193 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ$$dOCLCO$$dOCLCQ 001436193 049__ $$aISEA 001436193 050_4 $$aQ337 001436193 08204 $$a006.3$$223 001436193 24500 $$aArtificial intelligence applications for smart societies :$$brecent advances /$$cMohamed Elhoseny, K. Shankar, Mohamed Abdel-Basset, editors. 001436193 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021] 001436193 300__ $$a1 online resource (xii, 251 pages) 001436193 336__ $$atext$$btxt$$2rdacontent 001436193 337__ $$acomputer$$bc$$2rdamedia 001436193 338__ $$aonline resource$$bcr$$2rdacarrier 001436193 4901_ $$aStudies in distributed intelligence,$$x2662-3706 001436193 504__ $$aIncludes bibliographical references and index. 001436193 5050_ $$aChapter 1-Simulation, deployment, and testbed platforms for WSNs in Smart Cities. -- Chapter 2-Accessibility, resilience, and security of IoT infrastructures for Smart Cities. -- Chapter 3-Real-time information systems for intelligent transportation systems in Smart Cities. -- Chapter 4-Mobile apps and WSN applications integrated in Smart Cities. -- Chapter 5-AI techniques for devices and embedded systems in Smart Cities. -- Chapter 6-Data processing. -- Chapter 7-Self-learning. -- Chapter 8-Computing and sensing infrastructures. -- Chapter 9-Evolutionary algorithms for data mining in IoT based smart societies. -- Chapter 10-Cloud computing-based evolutionary algorithms for IoT. -- Chapter 11-Artificial intelligence algorithms for processing medical data in IoT. -- Chapter 12-Machine learning for data processing in IoT based smart societies. -- Chapter 13-Intelligent face recognition system using neural learning for smart security in IoT. -- Chapter 14-Distributed attack detection using a deep neural network approach for IoT. -- Chapter 15-Modeling and optimizing features selection in data system-based social IoT. -- Chapter 16-Crowdsourcing systems and services for smart cities. -- Chapter 17-Network communications technology for smart cities. -- Chapter 18-Human mobility models for smart cities. -- Chapter 19-Application of pervasive and mobile computing technology for smart cities. -- Chapter 20-Safety, security, privacy and trust in applications and services for smart cities. -- Chapter 21-Fault tolerance, reliability and survivability in smart cities. -- Chapter 22-Multi-sourced heterogeneous data acquisition and fusion for smart cities. -- Chapter 23-Case studies and test beds. 001436193 506__ $$aAccess limited to authorized users. 001436193 520__ $$aThis volume discusses recent advances in Artificial Intelligence (AI) applications in smart, internet-connected societies, highlighting three key focus areas. The first focus is on intelligent sensing applications. This section details the integration of Wireless Sensing Networks (WSN) and the use of intelligent platforms for WSN applications in urban infrastructures, and discusses AI techniques on hardware and software systems such as machine learning, pattern recognition, expert systems, neural networks, genetic algorithms, and intelligent control in transportation and communications systems. The second focus is on AI-based Internet of Things (IoT) systems, which addresses applications in traffic management, medical health, smart homes and energy. Readers will also learn about how AI can extract useful information from Big Data in IoT systems. The third focus is on crowdsourcing (CS) and computing for smart cities. this section discusses how CS via GPS devices, GIS tools, traffic cameras, smart cards, smart phones and road deceleration devices enables citizens to collect and share data to make cities smart, and how these data can be applied to address urban issues including pollution, traffic congestion, public safety and increased energy consumption. This book will of interest to academics, researchers and students studying AI, cloud computing, IoT and crowdsourcing in urban applications. 001436193 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 13, 2021). 001436193 650_0 $$aArtificial intelligence. 001436193 650_0 $$aInternet of things. 001436193 650_0 $$aCrowdsourcing. 001436193 650_0 $$aBig data. 001436193 650_6 $$aIntelligence artificielle. 001436193 650_6 $$aInternet des objets. 001436193 650_6 $$aExternalisation ouverte. 001436193 650_6 $$aDonnées volumineuses. 001436193 655_0 $$aElectronic books. 001436193 7001_ $$aElhoseny, Mohamed,$$eeditor. 001436193 7001_ $$aShankar, K.$$c(Computer science researcher),$$eeditor. 001436193 7001_ $$aAbdel-Basset, Mohamed,$$d1985-$$eeditor. 001436193 77608 $$iPrint version:$$z9783030630676$$w(OCoLC)1198976649 001436193 830_0 $$aStudies in distributed intelligence,$$x2662-3706 001436193 852__ $$bebk 001436193 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-63068-3$$zOnline Access$$91397441.1 001436193 909CO $$ooai:library.usi.edu:1436193$$pGLOBAL_SET 001436193 980__ $$aBIB 001436193 980__ $$aEBOOK 001436193 982__ $$aEbook 001436193 983__ $$aOnline 001436193 994__ $$a92$$bISE