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Number of items: 4.

Li, Yixin, Hu, Fu, Qin, Jian, Ryan, Michael, Wang, Ray and Liu, Ying 2021. A hybrid machine learning approach for energy consumption prediction in additive manufacturing. Presented at: 25th International Conference on Pattern Recognition (ICPR 2020), Virtual, 15 January 2021. Pattern Recognition. ICPR International Workshops and Challenges Virtual Event, January 10–15, 2021, Proceedings, Part IV. Lecture Notes in Computer Science/Image Processing, Computer Vision, Pattern Recognition, and Graphics , vol. 12664. Springer, pp. 622-636. 10.1007/978-3-030-68799-1_45
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Hu, Fu, Qin, Jian, Li, Yixin, Liu, Ying and Sun, Xianfang 2021. Deep fusion for energy consumption prediction in additive manufacturing. Presented at: 54th CIRP Conference on Manufacturing Systems (CMS 2021), Virtual, 22-24 September 2021.
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You, Yingchao, Chen, Chong, Hu, Fu, Liu, Ying and Ji, Ze 2021. Advances of digital twins for predictive maintenance. Presented at: 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021), Linz, Austria, 17-19 November 2021.
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Hu, Fu, Liu, Ying, Qin, Jian, Sun, Xianfang and Witherell, Paul 2020. Feature-level data fusion for energy consumption analytics in additive manufacturing. Presented at: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), Virtual, 20-24 August 2020. 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE, pp. 612-617. 10.1109/CASE48305.2020.9216947
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This list was generated on Tue Oct 19 08:21:09 2021 BST.