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Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process.

, , , , , , and . IEEE Trans. Cybern., 54 (2): 974-987 (February 2024)

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Brain Surface Conformal Parameterization., , , , , and . Computer Graphics and Imaging, page 76-81. IASTED/ACTA Press, (2005)Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images., , , , and . CoRR, (2017)Regularized Wasserstein Means Based on Variational Transportation., , and . CoRR, (2018)Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transition Algorithm and Support Vector Machine., , and . ICONIP (5), volume 10638 of Lecture Notes in Computer Science, page 85-94. Springer, (2017)Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML., , , , , , and . CoRR, (2019)MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression., , , , , and . CoRR, (2019)LDA-based deep transfer learning for fault diagnosis in industrial chemical processes., , and . Comput. Chem. Eng., (2020)A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation., , , , , , , , , and . Comput. Chem. Eng., (2021)Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes., , , , , and . IEEE Trans. Ind. Electron., 65 (2): 1508-1517 (2018)Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development., , , , and . IEEE Trans. Ind. Electron., 68 (5): 4404-4414 (2021)