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Category: Engineering
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Investigation and enhancement of stress-dependent compliance characteristics in deep in-situ stress measurements based on anelastic strain recovery (ASR) method
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He, M. C. & Xu, M. Research and development of Hems cooling system and heat-harm control in deep mine. Chin. J. Rock Mechan. Eng. 27(7),…
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Proof-of-concept thermoelectrically cooled sow-cooling mat
Proof-of-concept thermoelectrically cooled sow-cooling mat
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physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks
Lu, Y. et al. Acoustic emission-based graph learning for internal valve leakage localisation in offshore pipelines. Nondestruct. Test. Eval. 1–29 (2025).
Zhang, Y., Pullin, R., Oelmann, B. & Bader, S. On-device fault diagnosis with augmented…
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Learning-aided observer design for improving autonomous vehicle safety
Liu, J., Liu, H., Wang, J. & Gu, H. Coordinated lateral stability control of autonomous vehicles based on state Estimation and path tracking. Machines 11, 328. https://doi.org/10.3390/machines11030328 (2023).
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Synergistic effect of rubber powder and nano-silica on pore structure and frost resistance of concrete
Su, H. & Xie, W. Review on frost damages of hydraulic concrete in cold region and Its preventive control. Bulletin of the Chinese Ceramic Society 40(04), 1053–1071 (2021) (in Chinese).
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Association between knee angles at initial contact and post-landing knee ranges of motion in athletes with and without anterior cruciate ligament reconstruction
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Study on the high-temperature static and dynamic constitutive model of silicon carbide-modified concrete
Li, Z., Liu, Y. & Yao, Z. Analysis model of high temperature performance degradation of ordinary Portland concrete. J. Disaster Prevent. Mitigat. Eng. 40(02), 229–235 (2020).
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Identifying neuromuscular and mental fatigue in elite youth table tennis players using machine learning
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Zhang, Z., Li, K. W., Zhang, W., Ma, L. & Chen, Z….
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Feature-indistinguishable machine unlearning via negative-hot label encoding and class weight masking
Krizhevsky, A., Sutskever, I. & Hinton, G. E. Imagenet classification with deep convolutional neural networks. Adv. Neural Inf. Process. Syst. 25 (2012).
He, K., Zhang, X., Ren, S. & Sun, J. Deep residual learning for image recognition. In…
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