IEEE

Deep learning-Based Fault Detection and Classification in Multi-Bus Power Systems Using MATLAB Diagnostic Feature Designer and Bidirectional LSTM Networks

Abstract: Traditional fault detection systems in power networks face significant challenges in accurately identifying complex fault patterns, particularly in multi-bus configurations with varying ...
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, ...
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 ...
IEEE

LSTM-based Inverse Dynamics Learning for Franka Emika Robot

Abstract: This paper investigates long-short-term-memory-based learning of inverse dynamics for an industrial robot from experimental data. A Franka Emika Robot is used as a case study to estimate the ...