Abstract: The unpredictability of solar resources increases the difficulty of grid management as solar dispersion rates rise. Because renewable energy sources provide electricity in unpredictable and ...
Abstract: In the application scenario of automatic segmentation diagnosis for dental lesions, the focus of semantic segmentation tasks lies in how to design a lightweight segmentation network enabling ...
Abstract: In order to realize the effective prediction of harmonic emission level in power system, a harmonic emission level estimation method based on CNN-LSTM algorithm is proposed. The harmonic ...
Abstract: Utility-driven pattern analysis is a fundamental method for analyzing noteworthy patterns with high utility for diverse quantitative transactional databases. Recently, various approaches ...
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