Article-Journal

Data-driven dynamic modeling of renewable CO2 emissions in multimode industrial co-processing processes
Accurate modeling and real-time monitoring of renewable CO emissions in biofeedstock co-processing technologies are critical yet …
PDF Cite
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples
This paper presents a practical global optimization algorithm for the K-center clustering problem, which aims to select K samples as …
PDF Cite
Class-Missing Semi-supervised document key information extraction via synergistic refinement estimation
Current methods for document key information extraction (DKIE) rely heavily on labeled data with high annotation costs. To mitigate …
PDF Cite
An Edge-Based Adaptive Event-Triggered Network Transmission Scheme for Fully Distributed Power and Frequency Control of Islanded AC Microgrids
In islanded AC microgrids, achieving optimal power distribution across distributed generators (DGs) and restoring frequency …
PDF Cite
A novel automated soft sensor design tool for industrial applications based on machine learning
In modern industrial processes, real-time monitoring and control of key quality variables are crucial but challenging due to …
PDF Cite
Machine learning for real-time green carbon dioxide tracking in refinery processes
The global increase in greenhouse gas emissions presents an urgent environmental challenge, demanding innovative strategies for …
PDF Cite
Comprehensive Analysis on Machine Learning Approaches for Interpretable and Stable Soft Sensors
Soft sensors play a vital role in industrial process monitoring and control by estimating difficult-to-measure quality variables. While …
PDF Cite
Hierarchical model predictive control for energy consumption regulation of industrial-scale circulation counter-flow paddy drying process
Paddy drying is an energy-intensive process that involves complex interaction such as inertia, nonlinearity, and random disturbances. …
PDF Cite
Adaptive process monitoring for multimode industrial processes through machine learning
In complex industrial processes, real-time monitoring of critical variables is essential for ensuring operational safety and …
PDF Cite
Data-driven battery capacity estimation using support vector regression and model bagging under fast-charging conditions
Lithium-ion batteries offer significant advantages in terms of their high energy and power density and efficiency, but capacity …
PDF Cite