IEEE

Toward Load-Robust Motion Estimation Using an EMG-Driven State-Space Model With a Variable Stiffness Musculoskeletal Model

Abstract: Accurate and robust human motion estimation is essential for enabling effective electromyography (EMG) signal-driven neural-machine interfaces in daily activities. Variation in loading ...
GitHub

Great Expectations MCP Server

Large Language Model (LLM) agents often need to interact with and validate data. Great Expectations is a powerful open-source tool for data quality, but it's not natively accessible to LLM agents.
GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
IEEE

Online Estimation of Model Parameters and State of Charge for Lithium-Ion Battery Using Multitimescale Recurrent Neural Networks

Abstract: Accurate estimation of battery parameters and state is significant for new energy electric vehicles. In this work, a novel online estimation method is proposed for a second-order equivalent ...