Article-Journal

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 …
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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 …
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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 …
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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 …
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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 …
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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 …
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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. …
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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 …
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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 …
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Torrefaction severity influence on the nutrient composition of biomass
Soil amendment has recently been addressed as one of the promising applications of torrefied biomass, where the distribution of …
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