This repo presents a simple auto encoder for time series. It visualizes the embeddings using both PCA and tSNE. I show this on a dataset of 5000 ECG's. The model doesn't use the labels during training ...

We then propose AER (Auto-encoder with Regression), a joint model that combines a vanilla auto-encoder and an LSTM regressor to incorporate the successes and address the limitations of each method.

Abstract: With the arrival of 5G technology, networks face critical challenges in detecting anomalies that can significantly impact performance and reliability. This paper introduces QAED (Quantized ...

Prediction based on time series has a wide range of applications. Due to the complex nonlinear and random distribution of time series data, the performance of learning prediction models can be reduced ...

Thanks to the digital nature of the encoder design, the AMT31 series incorporates a One Touch Zero™ feature, allowing for significant time saving during the motor installation process.

Celera Motion, a business unit of Novanta, announces the Aura Absolute Chip Encoder Series to its line of MicroE precision optical encoders. ... January 26, 2021 09:52 AM Eastern Standard Time.