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Weakly supervised learning with convolutional neural networks for power line localization., , , , , и . SSCI, стр. 1-8. IEEE, (2017)An Explainable Convolutional Neural Network for Fault Diagnosis in Linear Motion Guide., , и . IEEE Trans. Ind. Informatics, 17 (6): 4036-4045 (2021)Enhancement of Dynamic Encoding Algorithm for Searches (DEAS) via Modified Decoding Function and Hopping Operation., , и . ICNC (5), стр. 14-18. IEEE Computer Society, (2007)Dissipative reset adaptive observer for a class of singular systems., , , и . ASCC, стр. 2095-2100. IEEE, (2017)Pinhole detection in steel slab images using machine vision., , , и . ICONS, стр. 397-401. International Federation of Automatic Control, (2009)Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System., , , , и . CoRR, (2018)Automated Brittle Fracture Rate Estimator for Steel Property Evaluation Using Deep Learning After Drop-Weight Tear Test., , , , , и . IEEE Access, (2019)Robust and Explainable Fault Diagnosis With Power-Perturbation-Based Decision Boundary Analysis of Deep Learning Models., , , и . IEEE Trans. Ind. Informatics, 19 (5): 6982-6992 (мая 2023)Steel product number recognition framework using semantic mask-conditioned diffusion model with limited data., , , , , и . J. Ind. Inf. Integr., (марта 2024)Resolving the non-uniformity in the feature space of age estimation: A deep learning model based on feature clusters of panoramic images., , , , , и . Comput. Medical Imaging Graph., (2024)