paper
2022
Local & station forecasting
New model or method
RNN / LSTM / ConvLSTMClassical ML (trees, GP, linear, kernels)Other Journal
2022-01-28
004
Jan 2022
Sundeep Raj, Sandesh Tripathi, K. C. Tripathi
Multimedia Tools and Applications
Proposes an optimized deep recurrent network for predicting atmospheric and oceanic parameters; the abstract is missing, so the claims cannot be verified.
ArDHO-deep RNN: autoregressive deer hunting optimization based deep recurrent neural network in investigating atmospheric and oceanic parameters
In one sentence. Proposes an optimized deep recurrent network for predicting atmospheric and oceanic parameters; the abstract is missing, so the claims cannot be verified.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM, Classical ML (trees, GP, linear, kernels), Other
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1007/s11042-021-11794-z OpenAlex:W4220722253
- Added
- 2026-10-22
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