paper
2022
Local & station forecasting
New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2022-11-17
004
Nov 2022
Ali Fahem Neamah, Mohammed Ibrahim Mahdi
Cognizance Journal of Multidisciplinary Studies
Bayesian network predicts monthly maximum and minimum dustfall in Iraq from station weather data, reporting 75% and 89% precision.
Bayesian Network for Predicting Dustfall in Iraq
In one sentence. Bayesian network predicts monthly maximum and minimum dustfall in Iraq from station weather data, reporting 75% and 89% precision.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.47760/cognizance.2022.v02i11.002 OpenAlex:W4309237903
- Added
- 2026-10-22
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