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| From intelligent manufacturing to smart manufacturing for industry 4.0 driven by next generation artificial intelligence and further on X Yao, J Zhou, J Zhang, CR Boër 2017 5th international conference on enterprise systems (ES), 311-318, 2017 | 241 | 2017 |
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| Design and management of digital manufacturing and assembly systems in the Industry 4.0 era Y Cohen, M Faccio, F Pilati, X Yao The International Journal of Advanced Manufacturing Technology 105, 3565-3577, 2019 | 194 | 2019 |
| Emerging manufacturing paradigm shifts for the incoming industrial revolution X Yao, Y Lin The International Journal of Advanced Manufacturing Technology 85, 1665-1676, 2016 | 190 | 2016 |
| Correlation-aware QoS modeling and manufacturing cloud service composition H Jin, X Yao, Y Chen Journal of Intelligent Manufacturing 28, 1947-1960, 2017 | 185 | 2017 |
| Tool condition monitoring and remaining useful life prognostic based on a wireless sensor in dry milling operations C Zhang, X Yao, J Zhang, H Jin Sensors 16 (6), 795, 2016 | 183 | 2016 |
| A hybrid artificial bee colony algorithm for optimal selection of QoS-based cloud manufacturing service composition J Zhou, X Yao The International Journal of Advanced Manufacturing Technology 88, 3371-3387, 2017 | 172 | 2017 |
| Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0 X Yao, N Ma, J Zhang, K Wang, E Yang, M Faccio Journal of Intelligent Manufacturing 35 (1), 235-255, 2024 | 143 | 2024 |
| Multi-population parallel self-adaptive differential artificial bee colony algorithm with application in large-scale service composition for cloud manufacturing J Zhou, X Yao Applied Soft Computing 56, 379-397, 2017 | 136 | 2017 |
| Hybrid whale optimization algorithm enhanced with Lévy flight and differential evolution for job shop scheduling problems M Liu, X Yao, Y Li Applied Soft Computing 87, 105954, 2020 | 133 | 2020 |
| A hybrid approach combining modified artificial bee colony and cuckoo search algorithms for multi-objective cloud manufacturing service composition J Zhou, X Yao International Journal of Production Research 55 (16), 4765-4784, 2017 | 124 | 2017 |
| An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing J Zhou, X Yao, Y Lin, FTS Chan, Y Li Information Sciences 456, 50-82, 2018 | 118 | 2018 |
| Improved evolutionary algorithm for parallel batch processing machine scheduling in additive manufacturing J Zhang, X Yao, Y Li International Journal of Production Research 58 (8), 2263-2282, 2020 | 110 | 2020 |
| Hybrid teaching–learning-based optimization of correlation-aware service composition in cloud manufacturing J Zhou, X Yao The International Journal of Advanced Manufacturing Technology 91, 3515-3533, 2017 | 88 | 2017 |
| Multi-objective hybrid artificial bee colony algorithm enhanced with Lévy flight and self-adaption for cloud manufacturing service composition J Zhou, X Yao Applied Intelligence 47, 721-742, 2017 | 87 | 2017 |
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| DE-caABC: differential evolution enhanced context-aware artificial bee colony algorithm for service composition and optimal selection in cloud manufacturing J Zhou, X Yao The International Journal of Advanced Manufacturing Technology 90, 1085-1103, 2017 | 63 | 2017 |
| Chemical Evidence for Potent Xanthine Oxidase Inhibitory Activity of Ethyl Acetate Extract of Citrus aurantium L. Dried Immature Fruits K Liu, W Wang, BH Guo, H Gao, Y Liu, XH Liu, HL Yao, K Cheng Molecules 21 (3), 302, 2016 | 62 | 2016 |
Zhaotong LianUniversity of MacauVerifisert e-postadresse på um.edu.mo
