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001435796 001__ 1435796
001435796 003__ OCoLC
001435796 005__ 20230309003953.0
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001435796 020__ $$a9783030656614$$q(electronic bk.)
001435796 020__ $$a3030656616$$q(electronic bk.)
001435796 020__ $$z9783030656607
001435796 0247_ $$a10.1007/978-3-030-65661-4$$2doi
001435796 035__ $$aSP(OCoLC)1246177859
001435796 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCO$$dEBLCP$$dYDX$$dOCLCF$$dUKAHL$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCQ
001435796 049__ $$aISEA
001435796 050_4 $$aTE228.3
001435796 08204 $$a388.3/12$$223
001435796 24500 $$aDeep learning and big data for intelligent transportation :$$benabling technologies and future trends /$$cKhaled R. Ahmed, Aboul Ella Hassanien, editors.
001435796 264_1 $$aCham :$$bSpringer,$$c[2021]
001435796 300__ $$a1 online resource (x, 264 pages) :$$billustrations (some color)
001435796 336__ $$atext$$btxt$$2rdacontent
001435796 337__ $$acomputer$$bc$$2rdamedia
001435796 338__ $$aonline resource$$bcr$$2rdacarrier
001435796 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 945
001435796 5050_ $$aPart I: Big Data and Autonomous Vehicles -- Big Data Technologies with Computanational Model Computing using HADOOP with Scheduling Challeges -- Big Data for Autonomous Vehicles -- Part II: Deep Learning & Object detection for Safe driving -- Analysis of Target Detection and Tracking for Intelligent Vision System -- Enhanced end-to-end system for autonomous driving using deep convolutional networks.-Deep Learning Technologies to mitigate Deer-Vehicle Collisions -- Night-to-Day Road Scene Translation Using Generative Adversarial Network with Structural Similarity Loss for Night Driving Safety -- Safer-Driving: Application of Deep Transfer Learning to Build Intelligent Transportation Systems -- Leveraging CNN Deep Learning Model for Smart Parking -- Estimating Crowd Size for Public Place Surveillance using Deep Learning -- Part III: AI & IoT for intelligent transportation -- IoT Based Regional Speed Restriction Using Smart Sign Boards -- Synergy of Internet of Things with Cloud, Artificial Intelligence and Blockchain for Empowering Autonomous Vehicles -- Combining Artificial Intelligence with Robotic Process Automation -- An Intelligent Automation Approach.
001435796 506__ $$aAccess limited to authorized users.
001435796 520__ $$aThis book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today's technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle's speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.
001435796 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 14, 2021).
001435796 650_0 $$aIntelligent transportation systems.
001435796 650_0 $$aAutomated vehicles.
001435796 650_0 $$aBig data.
001435796 650_6 $$aSystèmes de transport intelligents.
001435796 650_6 $$aVéhicules autonomes.
001435796 650_6 $$aDonnées volumineuses.
001435796 655_0 $$aElectronic books.
001435796 7001_ $$aAhmed, Khaled R.,$$eeditor.
001435796 7001_ $$aHassanien, Aboul Ella,$$eeditor.
001435796 830_0 $$aStudies in computational intelligence ;$$vv. 945.$$x1860-949X
001435796 852__ $$bebk
001435796 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-65661-4$$zOnline Access$$91397441.1
001435796 909CO $$ooai:library.usi.edu:1435796$$pGLOBAL_SET
001435796 980__ $$aBIB
001435796 980__ $$aEBOOK
001435796 982__ $$aEbook
001435796 983__ $$aOnline
001435796 994__ $$a92$$bISE