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Frost Prediction Using Machine Learning Methods in Fars Province
With methods based on deep learning models, not only do we observe a reduction in RMSE error compared to empirical methods but also have more time to predict minimum temperature.
On Principal Curve-Based Classifiers and Similarity-Based Selective Sampling in Time-Series
Any variation in time spans between input data points causes performance attenuation in recurrent neural network architectures.
Graph-based Local Climate Classification in Iran
To the best of our knowledge, our proposed method is the first graph-based climate classification system.
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