IEEE

Real-Time Parameter Identification for Model Predictive Control of PMSM Using Incremental LSTM

Abstract: Permanent Magnet Synchronous Motors (PMSMs) are widely used in high-precision applications due to their efficiency, but traditional Field-Oriented Control (FOC) is limited by slow dynamic ...
Bleeping Computer

MATLAB dev confirms ransomware attack behind service outage

MathWorks, a leading developer of mathematical computing and simulation software, has revealed that a recent ransomware attack is behind an ongoing service outage. Headquartered in Natick, ...
IEEE

Integrating AI and Energy Systems: LSTM Model for Photovoltaic Performance Prediction

Abstract: In the past decade, solar photovoltaics (PV) have emerged as a key technology in the global shift toward renewable energy, addressing critical issues like climate change and energy security.
Scientific Research Publishing

Optimizing the LSTM Deep Learning Model for Arctic Sea Ice Melting Prediction ()

The National Oceanic and Atmospheric Administration reports a 95% decline in the oldest Arctic ice over the last 33 years [1], while the National Aeronautics and Space Administration states that ...
GitHub

lstm-neural-networks

🌍 Welcome to the Earthquake Prediction Analysis Project! 🚀 This project aims to predict earthquake magnitudes using LSTM neural networks and analyze seismic data. Explore, analyze, and forecast ...
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 ...