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M
Masoud Karbasi
University of Prince Edward Island
37H指数
103论文数
3.1K被引数
收录论文 67
发表时间
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Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm (vol 14, 15051 , 2024)通过使用Boruta-XGBoost特征选择算法增强的混合卷积神经网络-长短期记忆 (cnn-lstm) 模型对河流电导率进行多步提前预测 (第14卷，15051，2024).png)
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SCIENTIFIC REPORTSIF3.9
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收藏Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm通过使用Boruta-XGBoost特征选择算法增强的混合卷积神经网络-长短期记忆 (cnn-lstm) 模型对河流电导率进行多步预测SCIENTIFIC REPORTSOAAI
SCIENTIFIC REPORTSIF3.9
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