01244nam0 22002771i 450 UON0015755720231205102949.98420020321d1946 |0itac50 baturTR|||| 1||||Ankara Universitesi Dil ve Tarih - Cografia Fakultesi Yayimlari Bibliografyasi 1935-1945hazirliyan Can OktayAnkaraMilli Egitim Basimevi194695 p.23 cm001UON000072422001 Ankara Universitesi Dil ve Tarih - Cografia Fakultesi Yayinlari sahiAnkara Universitesi049Lingua turcaBibliografieUONC009863FITRAnkaraUONL000083TUR GEN B ITURCHIA - BIBLIOGRAFIE - GENERALIAOKTAYCanUONV093508673934Kultur BakanligiUONV246380650ITSOL20250620RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00157557SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI MISC TUR GEN B I 001 SI TUR2312 5 001 Ankara Universitesi Dil ve Tarih - Cografia Fakultesi Yayimlari Bibliografyasi 1935-19451285099UNIOR05518nam 2201669z- 450 991055729570332120210501(CKB)5400000000041082(oapen)https://directory.doabooks.org/handle/20.500.12854/69323(oapen)doab69323(EXLCZ)99540000000004108220202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierArtificial Intelligence Applications to Smart City and Smart EnterpriseBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (374 p.)3-03936-437-5 3-03936-438-3 Smart cities operate under more resource-efficient management and economy than ordinary cities. As such, advanced business models have emerged around smart cities, which led to the creation of smart enterprises and organizations that depend on advanced technologies. This book includes 21 selected and peer-reviewed articles contributed in the wide spectrum of artificial intelligence applications to smart cities. Chapters refer to the following areas of interest: vehicular traffic prediction, social big data analysis, smart city management, driving and routing, localization, safety, health, and life quality.Information technology industriesbicsscadvance rateANFIS-GAApache SparkArabic languageartificial intelligenceartificial training datasetautomated driving vehicleautonomous drivingBacterial Foraging algorithmbaggingBetter Life Indexbig databig data analysisbus traffic flow predictioncamerascomputer visionconvolutionconvolutional neural networkcyclic dynamicsdata analysisdata miningdecision support systemdeep learningdetectiondiabetes predictiondisaster managementdisease detectiondriver distractiondriver's behavior detectionDSSembeddingsensemble learningextreme learning machineFeature Adaptivegraph convolutional networkGrassmann manifoldGRUhealthcarehigh performance computing (HPC)homecare assistance information systemimage recognitionintegrated modelintelligence transportation systemInternet of ThingsIsolated MicrogridITSknowledge preservationlarge-scale databaselife qualityLSTMmachine learningmachine-learningmessage schedulingminimizing traffic congestionmotion behaviormulti-label learningmuti-attribute analysisneural architecture searchneural networkneural networksonline learningoptimizationpattern recognitionpedestrian attributespotential pedestrian safetyprincipal component analysisprogram managementquality of liferecurrent neural networkresidual networksrisk assessmentRNNroutingSAEsSaudi dialectsemantic attributes recognitionsensorsshield performancesmart carsmart citiessmart citySmart citysmart infotainmentsmart tourismspatial-temporal dependenciesspatio-temporalstate analysissurveillance imagesurveillance videoSwarm Intelligence algorithmsymptoms detectiontexting and drivingtraffic congestion detectiontraffic flow predictiontraffic periodicitytraffic predictiontraffic speed predictiontraffic surveillance videoTrafficWavetrajectoriestransfer learningtunnelTwitterurban mobilityVDTNVehicle-to-Infrastructurevehicular networksvehicular trafficwavenetInformation technology industriesImpedovo Donatoedt1297528PIRLO GiuseppeedtImpedovo DonatoothPIRLO GiuseppeothBOOK9910557295703321Artificial Intelligence Applications to Smart City and Smart Enterprise3024499UNINA