Stationary and sparse denoising approach for corticomuscular causality estimation
Objective: Cortico-muscular communication patterns are instrumental in understanding
movement control. Estimating significant causal relationships between motor cortex …
movement control. Estimating significant causal relationships between motor cortex …
Modelling time-series process of an agricultural crop production process by EWMA quality control chart
ZM Mohammed - International Journal of Mathematics in …, 2022 - inderscienceonline.com
Control charts are considered to be one of the main tools for analysing and controlling the
steps of a product chain process. This research emphasises the control charts' versatility not …
steps of a product chain process. This research emphasises the control charts' versatility not …
INFR-GC: INTERPRETABLE FEATURE REPRESENTATIONS FOR GRANGER CAUSALITY IN CORTICO-MUSCULAR INTERACTIONS
Understanding the interactions between the central nervous system and muscular
responses is essential for develo** effective strategies to diagnose and manage …
responses is essential for develo** effective strategies to diagnose and manage …
SS-ADMM: Stationary and Sparse Granger Causal Discovery for Cortico-Muscular Coupling
Cortico-muscular communication patterns reveal important information about motor control.
However, inferring significant causal relationships between motor cortex …
However, inferring significant causal relationships between motor cortex …
Optimization and machine learning in support of statistical modeling
L Di Gangi - 2022 - flore.unifi.it
A crucial step in data analysis is to formulate the most appropriate model for reliable
inference or prediction. Both optimization and machine learning assist the modeler towards …
inference or prediction. Both optimization and machine learning assist the modeler towards …
Time Series Energy Prediction and Improved Decision-Making
Many Indian manufacturing organizations use natural gas as energy source in their
operations. This is attributed to the fact that natural gas emissions contribute very less …
operations. This is attributed to the fact that natural gas emissions contribute very less …