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TRIZ Method for Urban Building Energy Optimization: GWO-SARIMA-LSTM Forecasting model
The main contribution of this research is the development of a robust model that leverages the strengths of TRIZ and advanced deep learning techniques, improving the accuracy of energy consumption predictions.
Few-Shot Classification with Task-Adaptive Semantic Feature Learning
Such approach could lead to information imbalance between support and query samples, which confounds model generalization from support to query samples.
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