Spatiotemporal Data Analytics and Modeling : Techniques and Applications 9789819996513, 9789819996506
With the growing advances in technology and transformation to digital services, the world is becoming more connected and
103 22 14MB
English Pages 253 Year 2024
Table of contents :
Cover
Front Matter
Part I. Spatiotemporal Data Management Techniques
1. Introduction to Spatiotemporal Data
2. Recommendation System Using Spatial-Temporal Network for Vehicle Demand Prediction
3. Spatial-Based Big Data and Large-Scale Network Management
4. Handling Uncertainty in Spatiotemporal Data
5. Multimodal Spatial-Temporal Prediction and Classification Using Deep Learning
6. Spatiotemporal Object Detection and Activity Recognition
Part II. Applications of Spatiotemporal Data Analytics
7. Spatio-temporal Data Analytics for e-Waste Management System Using Hybrid Deep Belief Networks
8. Spatiotemporal and Intelligent Transportation Forecasting
9. Spatio-Temporal Supply Chains and E-Commerce
10. Spatiotemporal Renewable Energy Techniques and Applications
11. Environmental Spatiotemporal Data Analytics
12. Future and Research Perspectives of Spatiotemporal Data Management Methods
Cover
Front Matter
Part I. Spatiotemporal Data Management Techniques
1. Introduction to Spatiotemporal Data
2. Recommendation System Using Spatial-Temporal Network for Vehicle Demand Prediction
3. Spatial-Based Big Data and Large-Scale Network Management
4. Handling Uncertainty in Spatiotemporal Data
5. Multimodal Spatial-Temporal Prediction and Classification Using Deep Learning
6. Spatiotemporal Object Detection and Activity Recognition
Part II. Applications of Spatiotemporal Data Analytics
7. Spatio-temporal Data Analytics for e-Waste Management System Using Hybrid Deep Belief Networks
8. Spatiotemporal and Intelligent Transportation Forecasting
9. Spatio-Temporal Supply Chains and E-Commerce
10. Spatiotemporal Renewable Energy Techniques and Applications
11. Environmental Spatiotemporal Data Analytics
12. Future and Research Perspectives of Spatiotemporal Data Management Methods
- Author / Uploaded
- John A
- Satheesh Abimannan
- El-Sayed M. El-Alfy
- Yue-Shan Chang
- Similar Topics
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