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Spatial Data and Intelligence de Xiaofeng Meng

Spatial Data and Intelligence: Lecture Notes in Computer Science, cartea 12567

Editat de Xiaofeng Meng, Xing Xie, Yang Yue, Zhiming Ding
en Limba Engleză Paperback – 28 feb 2021
This 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.
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Specificații

ISBN-13: 9783030698720
ISBN-10: 3030698726
Pagini: 304
Ilustrații: X, 291 p. 141 illus., 99 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.46 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Traffic 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.