The 2025 energy transition in eight charts: clean wins, dirty setbacks For supporters of the energy transition, 2025 had plenty to complain about: the scrapping of U.S. clean energy policies, wind ...
Abstract: This study addresses the problem of convolutional kernel learning in univariate, multivariate, and multidimensional time series data, which is crucial for interpreting temporal patterns in ...
Abstract: Efficient computation of the Discrete Fourier Transform (DFT) for signals with structured frequency support remains a significant challenge in signal processing. The traditional Fast Fourier ...
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