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Fault prediction method for a nickel flash smelting furnace system based on graph fusion and multi-stage learning

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0 Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/adcade

Abstract: Considering the characteristics of nickel flash smelting furnace system data, which exhibit both static and dynamic properties, this paper proposes a graph fusion network model combined with a multi-stage learning strategy to efficiently accomplish fault… read more here.

Keywords: smelting furnace; flash smelting; furnace system; multi stage ... See more keywords

TSLAmy: A Novel Amyloid Hexapeptide Aggregation Prediction Approach Based on Two-Stage Learning

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0 Published in 2025 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2025.3567518

Abstract: Identifying aggregation-prone proteins or peptides is essential for advancing our understanding of amyloid aggregation processes and their related pathogenic mechanisms. Recognizing potential amyloid hexapeptides can also support peptide-based drug design and reduce experimental costs. In… read more here.

Keywords: amyloid hexapeptide; stage; prediction; aggregation ... See more keywords

Two-Stage Learning Based Fuzzy Cognitive Maps Reduction Approach

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1 Published in 2018 at "IEEE Transactions on Fuzzy Systems"

DOI: 10.1109/tfuzz.2018.2793904

Abstract: In this study, a new two-stage learning based reduction approach for fuzzy cognitive maps (FCM) is introduced in order to reduce the number of concepts. FCM is a graphical modeling technique that follows a reasoning… read more here.

Keywords: stage learning; reduction approach; two stage; approach ... See more keywords

Quantitative Estimation of Driver Cognitive Workload: A Dual-Stage Learning Approach

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0 Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2024.3451144

Abstract: Conditional Automated Driving (CAD) has attracted widespread attention due to the substantial gap in achieving fully autonomous driving, wherein an essential endeavor entails determining the transition timing between automated and manual driving modes. Driver cognitive… read more here.

Keywords: dual stage; workload; driver cognitive; stage learning ... See more keywords

MTCSNet: One-Stage Learning and Two-Point Labeling are Sufficient for Cell Segmentation

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0 Published in 2024 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2024.3404428

Abstract: Deep convolution neural networks have been widely used in medical image analysis, such as lesion identification in whole-slide images, cancer detection, and cell segmentation, etc. However, it is often inevitable that researchers try their best… read more here.

Keywords: segmentation; mtcsnet; stage learning; cell segmentation ... See more keywords