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Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation.

, , , , , , , , , , , , , and . MICRO, page 1305-1318. ACM, (2023)

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Construction of health indicators for condition monitoring of rotating machinery: A review of the research., , , , , , and . Expert Syst. Appl., (2022)A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery., , , , , , and . IEEE Trans. Ind. Electron., 69 (6): 6298-6307 (2022)Application of PSO-LSTM for Forecasting of Ship Traffic Flow., , , and . SPAC, page 298-302. IEEE, (2021)Memory Residual Regression Autoencoder for Bearing Fault Detection., , , , , , and . IEEE Trans. Instrum. Meas., (2021)Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications., , , , , , , , , and . KDD, page 5532-5543. ACM, (2023)Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation., , , , , , , , , and 4 other author(s). MICRO, page 1305-1318. ACM, (2023)An Intelligent Fault Diagnosis Method Based on Domain Adaptation and Its Application for Bearings Under Polytropic Working Conditions., , , , , , and . IEEE Trans. Instrum. Meas., (2021)Hybrid system response model for condition monitoring of bearings under time-varying operating conditions., , , , , , and . Reliab. Eng. Syst. Saf., (November 2023)Bearing performance degradation assessment using adversarial fusion convolutional autoencoder based on multi-source information., , , , , and . Trans. Inst. Meas. Control, 46 (5): 992-1011 (2024)