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Found 5 papers, 2 papers with code
Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm
No meaningful and coherent measurement data which could be used for training a CbM model would emerge.
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision
Previous work on SSL evaluated their approaches under unrealistic conditions where the data near failure was still available.
Non-Autoregressive vs Autoregressive Neural Networks for System Identification
The application of neural networks to non-linear dynamic system identification tasks has a long history, which consists mostly of autoregressive approaches.
RIANN -- A Robust Neural Network Outperforms Attitude Estimation Filters
We gather six publicly available datasets of which we exploit two datasets for the method development and the training, and we use four datasets for evaluation of the trained estimator in three different test scenarios with varying practical relevance.
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation
Inertial measurement units are commonly used to estimate the attitude of moving objects.
