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Publications (7)
- Multigranular Swin Transformer-Based Hierarchical Mixing of Spectral Indices for Rice Blast Monitoring Save
- A dynamic graph-based multi-task learning model for cut-in intention and trajectory prediction Save
- Effective message-passing scheme and aggregation technique embedded in graph-based encoder-decoder learning framework for trajectory prediction Save
- Multilayer optimized deep learning model to analyze spectral indices for predicting the condition of rice blast disease Save
- Transformer-Embedded Attentive CNN for Spectral Image Analysis of Rice Blast Syndromes Save
- Dynamic attention aggregated missing spatial–temporal data imputation for traffic speed prediction Save
- Attentive graph structure learning embedded in deep spatial-temporal graph neural network for traffic forecasting Save