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Found 4 papers, 2 papers with code
Reinforcement Learning for Active Matter
Active matter refers to systems composed of self-propelled entities that consume energy to produce motion, exhibiting complex non-equilibrium dynamics that challenge traditional models.
Machine Learning Analysis of Anomalous Diffusion
The rapid advancements in machine learning have made its application to anomalous diffusion analysis both essential and inevitable.
Amplitude-Phase Fusion for Enhanced Electrocardiogram Morphological Analysis
Considering the variability of amplitude and phase patterns in electrocardiogram (ECG) signals due to cardiac activity and individual differences, existing entropy-based studies have not fully utilized these two patterns and lack integration.
D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval
Existing methods for asymmetric image retrieval employ a rigid pairwise similarity constraint between the query network and the larger gallery network.
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