paper
2023
Local & station forecasting
LLMs & agents Review, survey or tutorial
Transformer / ViTCNN / U-NetRNN / LSTM / ConvLSTMGraph neural network6 h–3 days Journal
2023-02-14
004
Feb 2023
Edvinas Mulyadi
International Journal of Electrical Electronics and Computer Systems
Systematic review of IoT and deep learning weather monitoring and prediction, covering CNN, LSTM, transformer and hybrid models; no new results are reported.
Recent Advances in Environmental Weather Monitoring and Prediction System Using IoT and Multi-Model Progressive Dense Self-Attention: A Systematic Review
In one sentence. Systematic review of IoT and deep learning weather monitoring and prediction, covering CNN, LSTM, transformer and hybrid models; no new results are reported.
Labels
- Topic
- Local & station forecasting, LLMs & agents
- Type
- Review, survey or tutorial
- Method
- Transformer / ViT, CNN / U-Net, RNN / LSTM / ConvLSTM, Graph neural network
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.65521/ijeecs.v12i1.2621 OpenAlex:W7162462921
- Added
- 2026-10-22
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