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Found 4 papers, 1 papers with code
Deep learning-based modularized loading protocol for parameter estimation of Bouc-Wen class models
The protocol consists of two key components: optimal loading history construction and CNN-based rapid parameter estimation.
Foundation Models for ECG: Leveraging Hybrid Self-Supervised Learning for Advanced Cardiac Diagnostics
Using foundation models enhanced by self-supervised learning (SSL) methods presents an innovative approach to electrocardiogram (ECG) analysis, which is crucial for cardiac health monitoring and diagnosis.
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
It is designed to incorporate a novel memory module that can learn the degree to which each memory item should be updated in response to the input data.
Probabilistic Performance-Pattern Decomposition (PPPD): analysis framework and applications to stochastic mechanical systems
Since the early 1900s, numerous research efforts have been devoted to developing quantitative solutions to stochastic mechanical systems.
