Spatial Data and Intelligence: First International Conference, SpatialDI 2020, Virtual Event, May 8-9, 2020, Proceedings
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.

1138689193
Spatial Data and Intelligence: First International Conference, SpatialDI 2020, Virtual Event, May 8-9, 2020, Proceedings
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.

54.99 In Stock
Spatial Data and Intelligence: First International Conference, SpatialDI 2020, Virtual Event, May 8-9, 2020, Proceedings

Spatial Data and Intelligence: First International Conference, SpatialDI 2020, Virtual Event, May 8-9, 2020, Proceedings

Spatial Data and Intelligence: First International Conference, SpatialDI 2020, Virtual Event, May 8-9, 2020, Proceedings

Spatial Data and Intelligence: First International Conference, SpatialDI 2020, Virtual Event, May 8-9, 2020, Proceedings

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Overview

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.


Product Details

ISBN-13: 9783030698720
Publisher: Springer International Publishing
Publication date: 02/28/2021
Series: Lecture Notes in Computer Science , #12567
Edition description: 1st ed. 2021
Pages: 291
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

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.

 

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