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Industrial Dataspace for smart manufacturing: connotation, key technologies, and framework.

, , , , and . Int. J. Prod. Res., 61 (12): 3868-3883 (2023)

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Learning Disentangled Graph Convolutional Networks Locally and Globally., , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (3): 3640-3651 (March 2024)Industrial Dataspace for smart manufacturing: connotation, key technologies, and framework., , , , and . Int. J. Prod. Res., 61 (12): 3868-3883 (2023)An improved density-based approach to risk assessment on railway investment., , , , , , and . Data Technol. Appl., 56 (3): 382-408 (2022)LGD-GCN: Local and Global Disentangled Graph Convolutional Networks., , , and . CoRR, (2021)Unraveling Batch Normalization for Realistic Test-Time Adaptation., , , , , and . AAAI, page 15136-15144. AAAI Press, (2024)Re-Identification Based Automatic Matching and Annotation of Chromosome., , , , , and . CISP-BMEI, page 1-6. IEEE, (2019)An Investigation of Electric Field and Breakdown Voltage Models for a Deep Trench Superjunction SiC VDMOS., , , , , , , and . IEEE Access, (2019)Unraveling Batch Normalization for Realistic Test-Time Adaptation., , , , , and . CoRR, (2023)Graph Neural Networks with Diverse Spectral Filtering., , , and . WWW, page 306-316. ACM, (2023)Construction of prediction model of neural network railway bulk cargo floating price based on random forest regression algorithm., , , and . Neural Comput. Appl., 31 (12): 8139-8145 (2019)