IEEE

Using An Attention-Based LSTM Encoder–Decoder Network for Near Real-Time Disturbance Detection

Abstract: Accurate prediction of future observations based on past data is the key to near real-time disturbance detection using satellite image time series (SITS). To overcome the limitations of ...
IEEE

A Novel Dynamic Attack on Classical Ciphers Using an Attention-Based LSTM Encoder-Decoder Model

Abstract: Information security has become an intrinsic part of data communication. Cryptanalysis using deep learning-based methods to identify weaknesses in ciphers has not been thoroughly studied.
GitHub

encoder-decoder-architecture

Matlab Variational LSTM Autoencoder and Time Series Prediction for anomaly detection. Some code of my masters thesis. Download Link: https://pure.unileoben.ac.at ...
C&EN

Encoding, Decoding, and Rendering Information in DNA Nanoswitch Libraries

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...