paper
2022
Nowcasting
New model or method
RNN / LSTM / ConvLSTMTransformer / ViT0–6 hNanjing University of Information Science & Technology (NUIST) Journal
2022-07-04
022
Jul 2022
Zhiyun Yang, Hao Ran Wu, Qi Liu et al.
ISA Transactions
Nanjing University of Information Science & Technology (NUIST)
Self-attention spatiotemporal LSTM extrapolates edge-radar echoes for nowcasting in an Internet of Radars setting; the abstract is missing, so the assessment relies on the title.
A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars
In one sentence. Self-attention spatiotemporal LSTM extrapolates edge-radar echoes for nowcasting in an Internet of Radars setting; the abstract is missing, so the assessment relies on the title.
Labels
- Topic
- Nowcasting
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM, Transformer / ViT
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1016/j.isatra.2022.06.046 OpenAlex:W4283789746
- Added
- 2026-10-22
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