Spatiotemporal data modeling and prediction algorithms in intelligent management systems
In order to solve the problem of difficulty in learning semantic pattern representations between user dynamic interest sequences using path based and knowledge graph based entity embedding methods, the author proposes research on spatiotemporal data modeling and prediction algorithms in intelligent...
Saved in:
| Main Authors: | Xin Cao, Chunxiao Mei, Zhiyong Song, Hao Li, Jingtao Chang, Zhihao Feng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917424003878 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model
by: Miaoxuan Shan, et al.
Published: (2025-06-01) -
DeepST-Net: Leveraging Spatiotemporal Data Refinement for Enhanced Travel Time Prediction
by: Amira Benlecheb, et al.
Published: (2025-02-01) -
Spatiotemporal Soil Moisture Prediction Using a Causal-Guided Deep Learning Model
by: Tingtao Wu, et al.
Published: (2025-01-01) -
MSLKSTNet: Multi-Scale Large Kernel Spatiotemporal Prediction Neural Network for Air Temperature Prediction
by: Feng Gao, et al.
Published: (2024-09-01) -
Spatiotemporal changes of landslide susceptibility in response to rainfall and its future prediction — A case study of Sichuan Province, China
by: Hao Zheng, et al.
Published: (2024-12-01)