001443581 000__ 03752cam\a2200613Ii\4500 001443581 001__ 1443581 001443581 003__ OCoLC 001443581 005__ 20230310003552.0 001443581 006__ m\\\\\o\\d\\\\\\\\ 001443581 007__ cr\cn\nnnunnun 001443581 008__ 220108s2022\\\\si\a\\\\o\\\\\000\0\eng\d 001443581 019__ $$a1290840538$$a1291147693$$a1291172170$$a1294351006$$a1296665726 001443581 020__ $$a9789811674983$$q(electronic bk.) 001443581 020__ $$a9811674981$$q(electronic bk.) 001443581 020__ $$z9789811674976 001443581 020__ $$z9811674973 001443581 0247_ $$a10.1007/978-981-16-7498-3$$2doi 001443581 035__ $$aSP(OCoLC)1291315415 001443581 040__ $$aEBLCP$$beng$$erda$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dDCT$$dOCLCF$$dDKU$$dN$T$$dAUD$$dOCLCO$$dUKAHL$$dOCLCQ 001443581 049__ $$aISEA 001443581 050_4 $$aTD159.4$$b.A4 2022 001443581 08204 $$a307.760285$$223 001443581 24500 $$aAI and IoT for smart city applications /$$cVincenzo Piuri, Rabindra Nath Shaw, Ankush Ghosh, Rabiul Islam, editors. 001443581 264_1 $$aSingapore :$$bSpringer,$$c[2022] 001443581 264_4 $$c©2022 001443581 300__ $$a1 online resource (241 pages) :$$billustrations (chiefly color). 001443581 336__ $$atext$$btxt$$2rdacontent 001443581 337__ $$acomputer$$bc$$2rdamedia 001443581 338__ $$aonline resource$$bcr$$2rdacarrier 001443581 347__ $$atext file$$bPDF$$2rda 001443581 4901_ $$aStudies in computational intelligence ;$$vvolume 1002 001443581 5050_ $$aSmart Drone Controller Framework - Towards an Internet of Drones -- Building of Efficient Communication System in Smart City using Wireless Sensor Network through Hybrid Optimization Technique -- Estimation of Range for Electric Vehicle Using Fuzzy Logic System -- Traffic Light Control using RFID and Deep Reinforcement Learning -- Driver Drowsiness Alert System using Real-Time Detection -- Image Processing Based Smart Traffic Control System for Smart City -- Visual Perception for Smart City Defense Administration and Intelligent Premonition Framework based on DNN -- Application of AI/IoT for Smart Renewable Energy Management in Smart Cities -- Eye-Gaze based Hands Free Access Control System for Smart City Public Interfaces -- Reliability Analysis in Cyber-Physical System Using Deep Learning for Smart Cities Industrial IoT Network Node. 001443581 506__ $$aAccess limited to authorized users. 001443581 520__ $$aThis book provides a valuable combination of relevant research works on developing smart city ecosystem from the artificial intelligence (AI) and Internet of things (IoT) perspective. The technical research works presented here are focused on a number of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and smart waste management systems as well as related technologies and concepts. This edited book offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions. 001443581 588__ $$aDescription based upon print version of record. 001443581 650_0 $$aSmart cities. 001443581 650_0 $$aArtificial intelligence. 001443581 650_0 $$aInternet of things. 001443581 650_6 $$aVilles intelligentes. 001443581 650_6 $$aIntelligence artificielle. 001443581 650_6 $$aInternet des objets. 001443581 655_0 $$aElectronic books. 001443581 7001_ $$aPiuri, Vincenzo,$$eeditor. 001443581 7001_ $$aShaw, Rabindra Nath,$$eeditor. 001443581 7001_ $$aGhosh, Ankush,$$eeditor. 001443581 7001_ $$aIslam, Rabiul,$$eeditor. 001443581 77608 $$iPrint version:$$aPiuri, Vincenzo$$tAI and IoT for Smart City Applications$$dSingapore : Springer Singapore Pte. Limited,c2022$$z9789811674976 001443581 830_0 $$aStudies in computational intelligence ;$$vv. 1002. 001443581 852__ $$bebk 001443581 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7498-3$$zOnline Access$$91397441.1 001443581 909CO $$ooai:library.usi.edu:1443581$$pGLOBAL_SET 001443581 980__ $$aBIB 001443581 980__ $$aEBOOK 001443581 982__ $$aEbook 001443581 983__ $$aOnline 001443581 994__ $$a92$$bISE