Forecasting monthly runoff in a glacierized catchment: A comparison of extreme gradient boosting (XGBoost) and deep learning models. [PDF]
Hameed MM+5 more
europepmc +1 more source
Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators. [PDF]
Tadesse GA+9 more
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Forecasting second-hand house prices in China using the GA-PSO-BP neural network model. [PDF]
Wang J, Ji H, Wang L.
europepmc +1 more source
The development of CC-TF-BiGRU model for enhancing accuracy in photovoltaic power forecasting. [PDF]
Xie G, Zhang Z, Lin Z, Xie S.
europepmc +1 more source
An enhanced CNN with ResNet50 and LSTM deep learning forecasting model for climate change decision making. [PDF]
Elshewey AM, Jamjoom MM, Alkhammash EH.
europepmc +1 more source
Confidence interval forecasting model of small watershed flood based on compound recurrent neural networks and Bayesian. [PDF]
Wang S, Xu O.
europepmc +1 more source
Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria. [PDF]
Ladjal B+7 more
europepmc +1 more source
Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea. [PDF]
Seo I, Kim M, Wook Kim J, Jang B.
europepmc +1 more source
Forecasting malaria cases using climate variability in Sierra Leone. [PDF]
Jalloh SW+3 more
europepmc +1 more source
A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices. [PDF]
Azman S, Pathmanathan D, Balakrishnan V.
europepmc +1 more source