IEEE

Improved 3-D LSTM: A Video Prediction Approach to Long Sequence Load Forecasting

Abstract: Power load forecasting is the foundation of maintaining power grid stability, and can assist in decision-making to reduce operating costs. Fine-grained long sequence load forecasting ...
GitHub

Force estimation of continuum(hyper-redundant) manipulator using LSTM.

# pip module for create virtual environment sudo apt install python3.xx-venv # e.g. python3.10-venv (humble) # make virtual env with --symlink python3 -m venv {env_name} --system-site-packages ...
IEEE

Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network

Abstract: The combination of non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) technologies is proposed to meet the demands of data rate, latency, and connectivity in ...
GitHub

Coupling LSTM Neural Networks and State-Space Models through Analytically Tractable Inference

This repo contains the matlab codes to reproduce the results for the paper: Vuong, Nguyen & Goulet (2024), Coupling LSTM Neural Networks and State-Space Models through Analytically Tractable Inference ...