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Abstract: Finding repeating or anomalous subsequences in long time series is a crucial task in numerous data analysis pipelines. Most of those methods share a common step where they compute the ...

According to the language-of-thought hypothesis, regular sequences are compressed in human memory using recursive loops akin to a mental program that predicts future items. We tested this theory by ...

Abstract: In order to optimize the transient-time control performance and facilitate the implementation of the industrial application for the permanent magnet synchronous motor (PMSM) position control ...

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Recurrent neural networks (RNNs) enable the production and processing of time-dependent signals such as those involved in movement or working memory. Classic gradient-based algorithms for training ...