Stationary and sparse denoising approach for corticomuscular causality estimation

F Abbas, V McClelland, Z Cvetkovic… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Objective: Cortico-muscular communication patterns are instrumental in understanding
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 …

INFR-GC: INTERPRETABLE FEATURE REPRESENTATIONS FOR GRANGER CAUSALITY IN CORTICO-MUSCULAR INTERACTIONS

F Abbas, V McClelland, Z Cvetkovic… - … Conference on Acoustics …, 2024 - kclpure.kcl.ac.uk
Understanding the interactions between the central nervous system and muscular
responses is essential for develo** effective strategies to diagnose and manage …

SS-ADMM: Stationary and Sparse Granger Causal Discovery for Cortico-Muscular Coupling

F Abbas, V McClelland, Z Cvetkovic… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Cortico-muscular communication patterns reveal important information about motor control.
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 …

Time Series Energy Prediction and Improved Decision-Making

I Naim, T Mahara - Introduction to AI Techniques for Renewable …, 2021 - taylorfrancis.com
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 …