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001434678 001__ 1434678
001434678 003__ OCoLC
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001434678 019__ $$a1240209668$$a1241451101$$a1244118264$$a1249944349$$a1253411953
001434678 020__ $$a9783030698737$$q(electronic bk.)
001434678 020__ $$a3030698734$$q(electronic bk.)
001434678 020__ $$a9783030698744$$q(print)
001434678 020__ $$a3030698742
001434678 020__ $$z9783030698720
001434678 020__ $$z3030698726
001434678 0247_ $$a10.1007/978-3-030-69873-7$$2doi
001434678 035__ $$aSP(OCoLC)1241066450
001434678 040__ $$aDKU$$beng$$erda$$epn$$cDKU$$dOCLCO$$dBDX$$dOCLCQ$$dYDXIT$$dGW5XE$$dYDX$$dEBLCP$$dOCLCO$$dDCT$$dOCLCF$$dLEATE$$dVT2$$dLIP$$dOCLCO$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCQ
001434678 049__ $$aISEA
001434678 050_4 $$aG70.217.G46
001434678 08204 $$a910.285$$223
001434678 1112_ $$aInternational Conference on Spatial Data and Intelligence$$n(1st :$$d2020 :$$cOnline)
001434678 24510 $$aSpatial data and intelligence :$$bfirst international conference, SpatialDI 2020, virtual event, May 8-9, 2020 : proceedings /$$cXiaofeng Meng, Xing Xie, Yang Yue, Zhiming Ding (ed.).
001434678 24630 $$aSpatialDI 2020
001434678 264_1 $$aCham :$$bSpringer,$$c[2021]
001434678 300__ $$a1 online resource (x, 291 pages) :$$billustrations (some color)
001434678 336__ $$atext$$btxt$$2rdacontent
001434678 337__ $$acomputer$$bc$$2rdamedia
001434678 338__ $$aonline resource$$bcr$$2rdacarrier
001434678 347__ $$atext file
001434678 347__ $$bPDF
001434678 4901_ $$aLecture notes in computer science ;$$v12567
001434678 4901_ $$aLNCS sublibrary: SL3 - Information systems and applications, incl. Internet/Web, and HCI
001434678 500__ $$aInternational conference proceedings.
001434678 500__ $$aIncludes author index.
001434678 5050_ $$aTraffic Management -- A Fast Clustering Approach for Identifying Traffic Congestions -- A Method of Emergency Prediction Based on Spatiotemporal Context Time Series -- A Real-time Driving Destination Prediction Model based on Historical Travel Patterns and Current Driving Status -- Dynamic Shortest Path Queries over Moving Objects on Road Networks -- Environment Classification for Global Navigation Satellite Systems Using Attention-Based Recurrent Neural Networks -- Fast Training of POI Recommendation Models Using Gradient Compression -- Research on Vector Road Aided Inertial Navigation by Using ICCP Algorithm -- Traffic Flow Forecasting Using A Spatial-Temporal Attention Graph Convolutional Network Predictor -- Vehicle Emergency Route Planning Based on Grid Map -- Data science -- Application of Multi-agent System in Land Use Decision-Making of Industrial Park: A case study of Tianfo Health Industrial park, Shandong -- Attention U-net for Road Extraction in Remote Sensing Images -- College Students' Portrait Technology Based on Hybrid Neural Network -- Efficiently Detecting Light Events in Astronomical Temporal Data -- Efficiently Update Disk-Resident Interval Tree -- Performance Ranking Based on Bézier Ranking Principal Curve -- Proximity-based Aggregation Method for LBS Human Mobility Data -- Research on the Division of Functional Zones in Downtown Beijing under the Background of Big Data -- Spatial Queries Based on Learned Index -- Visualization science -- A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors -- A Geometric Consistency Model of Virtual Camera for Vision-based SLAM Simulation -- CPI: LiDAR-Camera Extrinsic Calibration based on Feature Points with Reflection Intensity.
001434678 506__ $$aAccess limited to authorized users.
001434678 520__ $$aThis book constitutes the proceedings of the First International Conference on Spatial Data and Intelligence, SpatialDI 2020, which was held on May 8-9, 2020. The conference was planned to take place in Shenzhen, China, and changed to an online format due to the COVID-19 pandemic. The 21 full papers presented in this volume were carefully reviewed and selected from 50 submissions. They were organized in topical sections named: traffic management; data science; and visualization science.
001434678 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 30, 2021).
001434678 650_0 $$aGeospatial data$$vCongresses.
001434678 650_0 $$aGeospatial data$$xComputer processing$$vCongresses.
001434678 650_0 $$aTraffic congestion$$xManagement$$vCongresses.
001434678 650_0 $$aRemote sensing$$vCongresses.
001434678 650_0 $$aApplication software.
001434678 650_0 $$aOptical data processing.
001434678 650_0 $$aComputer networks.
001434678 650_0 $$aComputer architecture.
001434678 650_0 $$aMachine learning.
001434678 650_6 $$aDonnées géospatiales$$vCongrès.
001434678 650_6 $$aDonnées géospatiales$$xInformatique$$vCongrès.
001434678 650_6 $$aTélédétection$$vCongrès.
001434678 650_6 $$aLogiciels d'application.
001434678 650_6 $$aTraitement optique de l'information.
001434678 650_6 $$aRéseaux d'ordinateurs.
001434678 650_6 $$aOrdinateurs$$xArchitecture.
001434678 650_6 $$aApprentissage automatique.
001434678 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001434678 655_7 $$aConference papers and proceedings.$$2lcgft
001434678 655_7 $$aActes de congrès.$$2rvmgf
001434678 655_0 $$aElectronic books.
001434678 7001_ $$aMeng, Xiaofeng,$$d1964-$$eeditor.
001434678 7001_ $$aXie, Xing,$$eeditor.
001434678 7001_ $$aYue, Yang,$$eeditor.
001434678 7001_ $$aDing, Zhiming,$$d1966-$$eeditor.
001434678 77608 $$iPrint version: $$z9783030698720
001434678 77608 $$iPrint version: $$z9783030698744
001434678 830_0 $$aLecture notes in computer science ;$$v12567.
001434678 830_0 $$aLNCS sublibrary.$$nSL 3,$$pInformation systems and applications, incl. Internet/Web, and HCI.
001434678 852__ $$bebk
001434678 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-69873-7$$zOnline Access$$91397441.1
001434678 909CO $$ooai:library.usi.edu:1434678$$pGLOBAL_SET
001434678 980__ $$aBIB
001434678 980__ $$aEBOOK
001434678 982__ $$aEbook
001434678 983__ $$aOnline
001434678 994__ $$a92$$bISE