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Enhancing urban air quality prediction using time-based-spatial forecasting framework
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Dimensions management of traffic big data for short-term traffic prediction on suburban roadways
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Loop quantum effects on direct detection prediction in two-scalar dark matter scenario
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Prediction of Energy Concentration during Microwave Heating with a Thermal Diffusion Dimensionless Number
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Modeling Solar Spectral Irradiance from Iron Lines Using the CODET Model Version 1.1
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Risk-Aware Vessel Scheduling and Routing Optimization with CVaR and LSTM-MSNet Prediction
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Residual Life Prediction of Proton Exchange Membrane Fuel Cell Based on Improved ESN
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Research on the Bearing Remaining Useful Life Prediction Method Based on Optimized BiLSTM
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Multi-feature fusion-based consumer perceived risk prediction and its interpretability study.
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Hyperband-Optimized CNN-BiLSTM with Attention Mechanism for Corporate Financial Distress Prediction
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Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences
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Integrated CNN‐LSTM for Photovoltaic Power Prediction based on Spatio‐Temporal Feature Fusion
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Evaluation of a pragmatic approach to predicting COVID-19-positive hospital bed occupancy
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A big data driven multilevel deep learning framework for predicting terrorist attacks
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