Browse by Current Cardiff authors

and Morgan, Phillip L.

2024. Human-machine interaction towards Industry 5.0: Human-centric smart manufacturing. Digital Engineering 2 , 100013. 10.1016/j.dte.2024.100013

Zhou, Ti, Liu, Ying

and Kumar, Maneesh

2024. AI-powered chatbots for improving interactive user experience: state-of-the-art. Presented at: The 51st International Conference on Computers and Industrial Engineering (CIE51), Sydney, Australia, 9-11 December 2024.

Lambay, Arsalan, Liu, Ying

, Morgan, Phillip L.

and Ji, Ze

2024. Machine learning assisted human fatigue detection, monitoring, and recovery: a review. Digital Engineering 1 , 100004. 10.1016/j.dte.2024.100004

Xiao, Ao, Yan, Wei, Zhang, Xumei, Liu, Ying

, Zhang, Hua and Liu, Qi 2024. Multi-domain fusion for cargo UAV fault diagnosis knowledge graph construction. Autonomous Intelligent Systems 4 (1) , 10. 10.1007/s43684-024-00072-y

You, Yingchao, Liu, Ying

and Ji, Ze

2024. Human digital twin for real-time physical fatigue estimation in human-robot collaboration. Presented at: The 25th IEEE International Conference on Industrial Technology, Bristol, UK, 25-27 March 2024. Proceedings of the 25th IEEE International Conference on Industrial Technology. IEEE, pp. 1-6. 10.1109/ICIT58233.2024.10541029

You, Yingchao, Liu, Ying

and Ji, Ze

2024. Human digital twin for real-time physical fatigue estimation in human-robot collaboration. Presented at: IEEE International Conference on Industrial Technology (ICIT), Bristol, United Kingdom, 25-27 March 2024. 2024 IEEE International Conference on Industrial Technology (ICIT). IEEE, 10.1109/ICIT58233.2024.10541029

Jin, Zhongtian, Chen, Chong, Liu, Qingtao, Syntetos, Argyrios

and Liu, Ying

2024. Compact convolutional transformer for bearing remaining useful life prediction. Presented at: IWAR 2023- VII International Workshop on Autonomous Remanufacturing, Caserta, Italy, 18-19 October 2023. Published in: Fera, M., Caterino, M., Macchiaroli, R. and Pham, D.T. eds. Advances in Remanufacturing. IWAR 2023. Lecture Notes in Mechanical Engineering Cham, Switzerland: Springer, pp. 227-238. 10.1007/978-3-031-52649-7_18

Yang, Jialu

and Morgan, Phillip

2024. Sensor and data: key elements of human-machine interaction for human-centric smart manufacturing. Presented at: 5th International Conference on Industry 4.0 and Smart Manufacturing, Lisbon, Portugal, 22-24 November 2023. Published in: Longo, F., Shen, W. and Padovano, A eds. Procedia Computer Science. Elsevier, pp. 191-200. 10.1016/j.procs.2024.01.019

Chen, Zheyuan, Wan, Yuwei, Liu, Ying

and Valera Medina, Agustin

2024. A knowledge graph-supported information fusion approach for multi-faceted conceptual modelling. Information Fusion 101 , 101985. 10.1016/j.inffus.2023.101985

Guo, Yuyao, Wang, Lei, Zhang, Zelin, Cao, Jianhua, Xia, Xuhui and Liu, Ying

2024. Integrated modeling for retired mechanical product genes in remanufacturing: A knowledge graph-based approach. Advanced Engineering Informatics 59 , 102254. 10.1016/j.aei.2023.102254

Yan, Wei, Wang, Xiao, Liu, Ying

, Zhang, Xu-mei, Jiang, Zhi-gang and Huang, Lin 2024. A stochastic programming approach for EOL electric vehicle batteries recovery network design under uncertain conditions. Scientific Reports 14 (1) , 876. 10.1038/s41598-024-51169-6

Hejazi, Shahd Ziad, Packianather, Michael

and Liu, Ying

2024. A novel customised load adaptive framework for induction motor fault classification utilising MFPT bearing dataset. Machines 12 (1) , 44. 10.3390/machines12010044

Lambay, Arsalan Jaweed, Morgan, Phillip L.

and Ji, Ze

2024. Model training through synthetic data generation:Investigating the impact on human physical fatigue. Presented at: International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, Nice, France, 24 - 27 July 2024. Published in: Nunes, Isabel L. ed. AHFE International: Human Factors and Systems Interaction. , vol.154 New York: AHFE Open Access, pp. 22-31. 10.54941/ahfe1005349

Liu, Yuhan, Liu, Ying

, McCrory, John and Guo, Xiao 2024. High-fidelity digital twin modelling for predictive maintenance state-of-the-art. Presented at: The 51st International Conference on Computers and Industrial Engineering (CIE51), Sydney, Australia, 9-11 December 2024.

Li, Yixin, Liu, Ying

, Robson, Stephen

and Ryan, Michael

2024. Towards an energy consumption optimisation framework in selective laser sintering system: Leveraging deep learning and FPGA technologies. Presented at: 4th ICPR AEM Poznań 2024, Poznan, Poland, 28 June- 3 July 2024.

Guo, Xin, Huang, Zechuan, Liu, Ying

, Zhao, Wu and Yu, Zeyuan 2023. Harnessing multi-domain knowledge for user-centric product conceptual design. Journal of Computing and Information Science in Engineering 23 (6) , 060807. 10.1115/1.4062456

Chen, Chong, Fu, Huibin, Zheng, Yu, Tao, Fei and Liu, Ying

2023. The advance of digital twin for predictive maintenance: The role and function of machine learning. Journal of Manufacturing Systems 71 , pp. 581-594. 10.1016/j.jmsy.2023.10.010

Hejazi, Shahd, Packianather, Michael

and Liu, Ying

2023. A Novel approach using WGAN-GP and conditional WGAN-GP for generating artificial thermal images of induction motor faults. Presented at: 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2023), 06-08 September 2023. Procedia Computer Science. , vol.225 Elsevier, pp. 3681-3691. 10.1016/j.procs.2023.10.363

Feng, Zhaohui, Ding, Xinru, Zhang, Hua, Liu, Ying

, Yan, Wei and Jiang, Xiaoli 2023. An energy consumption estimation method for the tool setting process in CNC milling based on the modular arrangement of predetermined time standards. Energies 16 (20) , 7064. 10.3390/en16207064

Wan, Yuwei, Chen, Zheyuan, Liu, Ying

, Packianather, Michael

and Wang, Rui 2023. Constructing industrial knowledge graph through ontology and link prediction. Presented at: IEEE International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 26-29 August 2023. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE, pp. 1-6. 10.1109/CASE56687.2023.10260566

Li, Chen, Wu, Jianzhong

, Ludtke, Ingo and Ming, Wenlong

2023. Two-port measurement of packaging parasitic inductance in SiC half-bridge power modules considering mutual inductance*. Presented at: 3rd International Conference on Industrial Electronics for Sustainable Energy Systems, Shanghai, China, 26-28 July 2023. Proceedings of 3rd International Conference on Industrial Electronics for Sustainable Energy Systems. IEEE, pp. 1-6. 10.1109/IESES53571.2023.10253690

Hu, Fu, Liu, Ying

, Li, Yixin, Ma, Shuai, Qin, Jian, Song, Jun, Feng, Qixiang, Sun, Xianfang

and Tang, Qian 2023. Task-driven data fusion for additive manufacturing: framework, approaches, and case studies. Journal of Industrial Information Integration 34 , 100484. 10.1016/j.jii.2023.100484

Li, Xinyu, Zheng, Pai, Sha, Zhenghui, Wu, Dazhong and Liu, Ying

2023. Industrial knowledge graph-enabled cognitive intelligence-driven mass personalization. Advanced Engineering Informatics 57 , 102022. 10.1016/j.aei.2023.102022

Lian, Xiaozhen, Liu, Ying

, Bu, Xiangjian and Hou, Liang 2023. Combined forecasting approach for product quality based on support vector regression and gray forecasting model. Advanced Engineering Informatics 57 , 102070. 10.1016/j.aei.2023.102070

Li, Yixin, Hu, Fu, Liu, Ying

, Ryan, Michael

and Wang, Ray 2023. A hybrid model compression approach via knowledge distillation for predicting energy consumption in additive manufacturing. International Journal of Production Research 61 (13) , pp. 4525-4547. 10.1080/00207543.2022.2160501

Guo, Xin, Yang, Mingyue, Liu, Ying

, Zhao, Wu, Shi, Jiancheng and Zhang, Kai 2023. Design for product resilience: concept, characteristics and generalization. Journal of Engineering Design 34 (5-6) , pp. 368-382. 10.1080/09544828.2023.2225844

Wang, Shixuan, Syntetos, Aris A.

, Di Cairano-Gilfedder, Carla and Naim, Mohamed M.

2023. Improving automotive garage operations by categorical forecasts using a large number of variables. European Journal of Operational Research 306 (2) , pp. 893-908. 10.1016/j.ejor.2022.06.062

Jiang, Yiwei, Guo, Xin, Liu, Ying

and Zhao, Wu 2023. Knowledge-based design: a function-knowledge reasoning model for product conceptual design. Kyratsis, Panagiotis, Manavis, Athanasios and Davim, J. Paulo, eds. Computational Design and Digital Manufacturing, Management and Industrial Engineering, pp. 119-139. (10.1007/978-3-031-21167-6_6)

Huang, Zechuan, Guo, Xin, Liu, Ying

, Zhao, Wu and Zhang, Kai 2023. A smart conflict resolution model using multi-layer knowledge graph for conceptual design. Advanced Engineering Informatics 55 , 101887. 10.1016/j.aei.2023.101887

Chen, Chong, Wang, Tao, Zhen, Yu, Liu, Ying

, Xie, Haojia, Deng, Jianfeng and Cheng, Lianglun 2023. Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.0. Advanced Engineering Informatics 55 , 101900. 10.1016/j.aei.2023.101900

Tang, Junya, Liu, Ying

, Lin, Kuo-yi and Li, Li 2023. Process bottlenecks identification and its root cause analysis using fusion-based clustering and knowledge graph. Advanced Engineering Informatics 55 , 101862. 10.1016/j.aei.2022.101862

Yang, Bai, Liu, Ying

and Chen, Wei 2023. A twin data-driven approach for user-experience based design innovation. International Journal of Information Management 68 , 102595. 10.1016/j.ijinfomgt.2022.102595

Tong, Yanzhang, Liang, Yan, Spasic, Irena

, Hicks, Yulia

, Hu, Huicong and Liu, Ying

2022. A data-driven approach for integrating hedonic quality and pragmatic quality in user experience modelling. Journal of Computing and Information Science in Engineering 22 (6) , 061002. 10.1115/1.4054155

Hejazi, Shahd, Packianather, Michael

and Liu, Ying

2022. Novel preprocessing of multimodal condition monitoring data for classifying induction motor faults using deep learning methods. Presented at: IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), Gunupur, Odisha, India, 15-17 December 2022. Proceedings of 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security. IEEE, pp. 1-6. 10.1109/iSSSC56467.2022.10051321

Lian, Xiaozhen, Hou, Liang, Zhang, Wenbo, Yan, Husehng and Liu, Ying

2022. Identifying risky components of display products for redesign considering user attention and failure causality. Soft Computing 10.1007/s00500-022-07660-1

Tang, Min, Zhang, Zhaoqi, Liu, Ying

and Zhang, Hongwu 2022. Regional-based strategies for municipality carbon mitigation: a case study of Chongqing in China. Energy Reports 8 , pp. 4672-4694. 10.1016/j.egyr.2022.03.135

Chen, Chong, Wang, Tao, Liu, Ying

, Cheng, Lianglun and Qin, Jian 2022. Spatial-attention-based convolutional transformer for bearing remaining useful life prediction. Measurement Science and Technology 33 (11) , 114001. 10.1088/1361-6501/ac7c5b

Chen, Wei, Yang, Bai and Liu, Ying

2022. An integrated QFD and FMEA approach to identify risky components of products. Advanced Engineering Informatics 54 , 101808. 10.1016/j.aei.2022.101808

Tan, Xin, Zhong, Jingshu, Jin, Yu, Liang, Yan, Zheng, Yu and Liu, Ying

2022. Design and research of intelligent QA system for flight crew operating manual. Presented at: International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE 2022), St. Louis, MO, USA, 14-17 August 2022. 42nd Computers and Information in Engineering Conference (CIE). , vol.2 The American Society of Mechanical Engineers, 10.1115/DETC2022-90768

Yang, Jialu

, Liu, Tianyuan

and Morgan, Phillip

2022. Review of human-machine interaction towards industry 5.0: human-centric smart manufacturing. Presented at: International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE 2022), St. Louis, MO, USA, 14-17 August 2022. 42nd Computers and Information in Engineering Conference (CIE). , vol.2 The American Society of Mechanical Engineers, 10.1115/DETC2022-89711

Li, Zhihang, Tang, Qian, Liu, Ying

and Li, Xiao 2022. A material removal state prediction method based on multi-scale attention mechanism. Presented at: 42nd Computers and Information in Engineering Conference (CIE), St. Louis, USA, 14-17 August, 2022. 42nd Computers and Information in Engineering Conference (CIE). , vol.2 The American Society of Mechanical Engineers, 10.1115/DETC2022-90919

Chen, Yuxuan, Yan, Wei, Liu, Ying

, Zhang, Hua, Jiang, Zhigang and Zhang, Xumei 2022. A data-driven approach design for carbon emission prediction of machining. Presented at: International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE 2022), St. Louis, MO, USA, 14-17 August 2022. 42nd Computers and Information in Engineering Conference (CIE). , vol.2 10.1115/DETC2022-90465

Zheng, Yu, Bao, Xiangyu, Zhao, Fei, Chen, Chong, Liu, Ying

, Sun, Bo and Wang, Haotong 2022. Prediction of remaining useful life using fused deep learning models - a case study of turbofan engines. Journal of Computing and Information Science in Engineering 22 (5) , 054501. 10.1115/1.4054090

Tong, Yanzhang, Liang, Yan, Liu, Ying

, Spasic, Irena

and Hicks, Yulia

2022. Understanding context of use from online customer reviews using BERT. Presented at: IEEE 18th International Conference on Automation Science and Engineering (CASE 2022), Mexico City, Mexico, 20-24 August 2022. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). IEEE, 10.1109/CASE49997.2022.9926649

Cheng, Minyang, Wang, Junliang, Zhou, Yaqin, Xu, Chuqiao, Liu, Ying

and Zhang, Jie 2022. A convolutional neural network with equal-resolution enhancement and gradual attention of features for tiny target detection. Presented at: IEEE 18th International Conference on Automation Science and Engineering (CASE 2022), Mexico City, Mexico, 20-24 August 2022. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). IEEE, 10.1109/CASE49997.2022.9926425

You, Yingchao, Ji, Ze

, Yang, Xintong

and Liu, Ying

2022. From human-human collaboration to human-robot collaboration: automated generation of assembly task knowledge model. Presented at: 27th IEEE International Conference on Automation and Computing (ICAC2022), Bristol, UK, 1-3 Sept 2022. 2022 27th International Conference on Automation and Computing (ICAC). IEEE, 10.1109/ICAC55051.2022.9911131

Hu, Huicong, Liu, Ying

, Guo, Xin and Fu, Chuan 2022. A conceptual design specification based on user aesthetic information analysis and product functional reasoning. Machines 10 (10) , 868. 10.3390/machines10100868

Yan, Wei, Lu, Chenxun, Liu, Ying

, Zhang, Xumei and Zhang, Hua 2022. An energy data-driven approach for operating status recognition of machine tools based on deep learning. Sensors 22 (17) , 6628. 10.3390/s22176628

Hu, Huicong, Liu, Ying

, Lu, Wen Feng and Guo, Xin 2022. A knowledge-based approach towards representation and archiving of aesthetic information for product conceptual design. Journal of Computing and Information Science in Engineering 22 (4) , 041011. 10.1115/1.4053674
Item availability restricted.

Hu, Huicong, Liu, Ying

, Lu, Wen Feng and Guo, Xin 2022. A quantitative aesthetic measurement method for product appearance design. Advanced Engineering Informatics 53 , 101644. 10.1016/j.aei.2022.101644

Chen, Chong, Wu, Dazhong and Liu, Ying

2022. Recent advances of AI for engineering service and maintenance. Autonomous Intelligent Systems 2 (1) , 19. 10.1007/s43684-022-00038-y

Fu, Huibin and Liu, Ying

2022. A deep learning-based approach for electrical equipment remaining useful life prediction. Autonomous Intelligent Systems 2 , 16. 10.1007/s43684-022-00034-2

Ma, Shuai, Tang, Qian, Liu, Ying

and Feng, Qixiang 2022. Prediction of mechanical properties of 3d printed lattice structures through machine learning. Journal of Computing and Information Science in Engineering 22 (3) , 031008. 10.1115/1.4053077

Li, Yixin, Hu, Fu, Ryan, Michael

, Wang, Ray and Liu, Ying

2022. Knowledge distillation for energy consumption prediction in additive manufacturing. Presented at: 14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022), Tel-Aviv, Israel, 28-30 March 2022. IFAC-PapersOnLine. IFAC-PapersOnLine. , vol.55(2) Elsevier, pp. 390-395. 10.1016/j.ifacol.2022.04.225

Lambay, Arsalan, Liu, Ying

, Ji, Ze

and Morgan, Phillip

2022. Effects of demographic factors for fatigue detection in manufacturing. Presented at: 14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022), Tel-Aviv, Israel, 28-30 March 2022. IFAC-PapersOnLine. IFAC-PapersOnLine. , vol.55(2) Elsevier, pp. 528-533. 10.1016/j.ifacol.2022.04.248

Wu, Bo, Zhao, Wu, Hu, Huicong, Liu, Ying

and Lv, Junjie 2022. Conceptual design of intelligent manufacturing equipment based on a multi-source heterogeneous requirement mapping method. Presented at: 14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022), Tel-Aviv, Israel, 28-30 March 2022. IFAC-PapersOnLine. IFAC-PapersOnLine. , vol.55(2) Elsevier, pp. 475-480. 10.1016/j.ifacol.2022.04.239

Zhao, Yunming, Li, Li, Liu, Ying

, Fan, Yuxi and Lin, Kuo-Yi 2022. Communication-efficient federated learning for digital twin systems of industrial internet of things. Presented at: 14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022), Tel-Aviv, Israel, 28-30 March 2022. IFAC-PapersOnLine. IFAC-PapersOnLine. , vol.55(2) Elsevier, pp. 433-438. 10.1016/j.ifacol.2022.04.232

Qin, Jian, Hu, Fu, Liu, Ying

, Witherell, Paul, Wang, Charlie C.L., Rosen, David W., Simpson, Timothy, Lu, Yan and Tang, Qian 2022. Research and application of machine learning for additive manufacturing. Additive Manufacturing 52 , 102691. 10.1016/j.addma.2022.102691

Wang, Shuai, Hui, Jizhuang, Zhu, Bin and Liu, Ying

2022. Adaptive genetic algorithm based on fuzzy reasoning for the multilevel capacitated lot-sizing problem with energy consumption in synchronizer production. Sustainability 14 (9) , 5072. 10.3390/su14095072

Guo, Xin, Jiang, Yiwei and Liu, Ying

2022. Conceptual design for innovation: a knowledge-based approach. Kyratsis, Panagiotis, Efkolidis, Nikolaos and Davim, J. Paolo, eds. Advances in Product Design Engineering, Springer, pp. 179-198. (10.1007/978-3-030-98124-2_8)

Hu, Huicong, Liu, Ying

and Lu, Wen Feng 2022. Establishing product appearance specifications with the identification of user aesthetic needs in product conceptual design. Kyratsis, Panagiotis, Efkolidis, Nikolaos and Davim, J. Paolo, eds. Advances in Product Design Engineering, Springer, pp. 199-217. (10.1007/978-3-030-98124-2_9)

Yan, Zhiqiang, Huang, Jian, Lv, Jingxiang, Hui, Jizhuang, Liu, Ying

, Zhang, Hao, Yin, Enhuai and Liu, Qingtao

2022. A new method of predicting the energy consumption of additive manufacturing considering the component working state. Sustainability 14 (7) , 3757. 10.3390/su14073757

You, Yingchao, Chen, Chong, Hu, Fu, Liu, Ying

and Ji, Ze

2022. 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. , vol.200 Procedia Computer Science, Vol 200: pp. 1471-1480. 10.1016/j.procs.2022.01.348

Wan, Yuwei, Chen, Zheyuan, Hu, Fu, Liu, Ying

, Packianather, Michael

and Wang, Rui 2022. Exploiting knowledge graph for multi-faceted conceptual modelling using GCN. Presented at: 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021), Linz, Austria, 17-19 November 2021. , vol.200 Procedia Computer Science, Vol 200, pp. 1174-1183. 10.1016/j.procs.2022.01.317

Yu, Zeyuan, Zhao, Wu, Guo, Xin, Hu, Huicong, Fu, Chuan and Liu, Ying

2022. Multi-indicators decision for product design solutions: a TOPSIS-MOGA integrated model. Processes 10 (2) , 303. 10.3390/pr10020303

Zhao, Kai, Liu, Ying

, Ming, Wenlong

, Zhou, Yue

and Wu, Jianzhong

2022. Digital twin-driven estimation of state of charge for Li-ion battery. Presented at: IEEE International Energy Conference (ENERGYCON 2022), Riga, Latvia, 09-12 May 2022. Proceedings of 2022 IEEE 7th International Energy Conference (ENERGYCON). IEEE, 10.1109/ENERGYCON53164.2022.9830324

Chen, Chong, Liu, Ying

, Sun, Xianfang, Cairano-Gilfedder, Carla Di and Titmus, Scott 2021. An integrated deep learning-based approach for automobile maintenance prediction with GIS data. Reliability Engineering and System Safety 216 , 107919. 10.1016/j.ress.2021.107919

Chen, Zheyuan, Liu, Ying

and Robinson, Fiona 2021. Multi-sourced modelling for strip breakage using knowledge graph embeddings. Presented at: 54th CIRP Conference on Manufacturing Systems (CMS 2021), Virtual, 22-24 September 2021. 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0. , vol.104 Elsevier, pp. 1884-1889. 10.1016/j.procir.2021.11.318

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. 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0. Procedia CIRP , vol.104 Elsevier, pp. 1878-1883. 10.1016/j.procir.2021.11.317

Tong, Yanzhang, Liang, Yan, Liu, Ying

, Hicks, Yulia

and Spasic, Irena

2021. Integrating hedonic quality for user experience modelling. Presented at: ASME IDETC/CIE 2021, Virtual, 17-20 August 2021. 41st Computers and Information in Engineering Conference (CIE) Proceedings. , vol.2 ASME, 10.1115/DETC2021-69781

Ma, Shuai, Tang, Qian, Liu, Ying

and Feng, Qixiang 2021. Predicting mechanical properties of 3D printed lattice structures. Presented at: ASME IDETC/CIE 2021, Virtual, 17-20 August 2021. ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME, V002T02A053. 10.1115/DETC2021-70249

Guo, Xin, Zhao, Wu, Hu, Huicong, Li, Li, Liu, Ying

, Wang, Jie and Zhang, Kai 2021. A smart knowledge deployment method for the conceptual design of low-carbon products. Journal of Cleaner Production 321 , 128994. 10.1016/j.jclepro.2021.128994

Yang, Jialu

, Chen, Zheyuan, Liu, Ying

and Ryan, Michael

2021. Sliding window filter based strip breakage modelling for failure prediction. Presented at: IEEE 17th International Conference on Automation Science and Engineering (CASE 2021), Lyon, France, 23-27 August 2021. 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE, pp. 1461-1466. 10.1109/CASE49439.2021.9551660

Lambay, Arsalan, Liu, Ying

, Morgan, Phillip

and Ji, Ze

2021. A data-driven fatigue prediction using recurrent neural networks. Presented at: 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA2021), Ankara, Turkey, 11-13 June 2021. 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, pp. 1-6. 10.1109/HORA52670.2021.9461377

Zhang, Hua, Zhang, Meihang, Yan, Wei, Liu, Ying

, Jiang, Zhigang and Li, Shengqiang 2021. Analysis the drivers of environmental responsibility of Chinese auto manufacturing industry based on triple bottom line. Processes 9 (5) , 751. 10.3390/pr9050751

Horváth, Imre, Zeng, Yong, Liu, Ying

and Summers, Joshua 2021. Smart designing of smart systems. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 35 (2) , pp. 129-131. 10.1017/S0890060421000093

Kumar, Manisha, Rich, Nicholas, Kumar, Maneesh

and Liu, Ying

2021. Creating highly reliable health care organisations through reverse exchanges. Supply Chain Management 26 (3) , pp. 371-384. 10.1108/SCM-03-2020-0123

Guo, Xin, Liu, Ying

, Wu, Zhao, Wang, Jie and Chen, Ling 2021. Supporting resilient conceptual design using functional decomposition and conflict resolution. Advanced Engineering Informatics 48 , 101262. 10.1016/j.aei.2021.101262

Qin, Jian, Li, Zhuoqun, Wang, Rui, Li, Li, Yu, Zhe, He, Xun and Liu, Ying

2021. Industrial Internet of Learning (IIoL): IIoT based Pervasive Knowledge Network for LPWAN – concept, framework and case studies. CCF Transactions on Pervasive Computing and Interaction 3 , pp. 25-39. 10.1007/s42486-020-00050-2

Wu, Shengli, Xing, Wenting, Liu, Ying

and Shao, Yimin 2021. Research on dynamic characteristics and identification method of local defect on the roll surface. Engineering Failure Analysis 121 , 105063. 10.1016/j.engfailanal.2020.105063

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 (12664) Springer, pp. 622-636. 10.1007/978-3-030-68799-1_45

Xiao, Yongmao, Yan, Wei, Wang, Ruping, Jiang, Zhigang and Liu, Ying

2021. Research on blank optimization design based on low-carbon and low-cost blank process route optimization model. Sustainability 13 (4) , 1929. 10.3390/su13041929

Chen, Zheyuan, Liu, Ying

, Valera-Medina, Agustin

, Robinson, Fiona and Packianather, Michael

2021. Multi-faceted modelling for strip breakage in cold rolling using machine learning. International Journal of Production Research 59 (21) , pp. 6347-6360. 10.1080/00207543.2020.1812753

Tang, Junya, Li, Li, Liu, Ying

and Lin, Kuo-yi 2021. Automatic identification of bottleneck tasks for business process management using fusion-based text clustering. Presented at: 17th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2021), Budapest, Hungary, 7-9 June 2021. IFAC-PapersOnLine. Elsevier, 54(1), pp. 1200-1205. 10.1016/j.ifacol.2021.08.142

Ma, Shuai, Tang, Qian, Han, Xiaoxiao, Feng, Qixiang, Song, Jun, Setchi, Rossitza

, Liu, Yang

, Goulas, Athanasios, S. Engstrøm, Daniel, Tse, YauYau and Zhen, Ni 2020. Manufacturability, mechanical properties, mass-transport properties and biocompatibility of Triply Periodic Minimal Surface (TPMS) scaffolds fabricated by selective laser melting. Materials and Design 195 , 109034. 10.1016/j.matdes.2020.109034

Chen, Chong, Liu, Ying

, Sun, Xianfang

, Di Cairano-Gilfedder, Carla and Titmus, Scott 2020. Automobile maintenance modelling using gcForest. 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. 600-605. 10.1109/CASE48305.2020.9216745

Dai, Chunyan, Tang, Min, Liu, Ying

, He, Jijiang, Yang, Zhongqing and Yang, Ying 2020. Designing smart energy network ecosystem for integrated energy services in urban areas. Presented at: IEEE 16th International Conference on Automation Science and Engineering (CASE 2020), Virtual, 20-21 August 2020. 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE, pp. 305-310. 10.1109/CASE48305.2020.9216903

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

Zhang, Zelin, Liu, Ying

, Hu, Qi, Zhang, Zhiwei and Liu, Yang

2020. Competitive voting-based multi-class prediction for ore selection. 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. 514-519. 10.1109/CASE48305.2020.9217017

Chen, Zheyuan, Liu, Ying

and Robinson, Fiona 2020. A multi-source feature-level fusion approach for predicting strip breakage in cold rolling. 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. 482-487. 10.1109/CASE48305.2020.9216854

Oliff, Harley

and Williams, Michael 2020. The ethical use of human data for smart manufacturing: an analysis and discussion. Procedia CIRP 93 , pp. 1364-1369. 10.1016/j.procir.2020.06.001

Ma, Shuai, Tang, Qian, Feng, Qixiang, Song, Jun, Liu, Ying

and Setchi, Rossitza

2020. An investigation of the porosity effects on the mechanical properties and the failure modes of Ti–6Al–4V Schwarz primitive structures. Presented at: SDM-2020: 7th International Conference on Sustainable Design and Manufacturing, 9-11 September 2020. Published in: Scholz, Steffen G., Howlett, Robert J. and Setchi, Rossi eds. Sustainable Design and Manufacturing 2020: Proceedings of the 7th International Conference on Sustainable Design and Manufacturing (KES-SDM 2020). Smart Innovation, Systems and Technologies , vol.200 Springer, pp. 173-181. 10.1007/978-981-15-8131-1_16

Oliff, Harley

and Williams, Michael 2020. Improving human-robot-interaction utilizing learning and intelligence: a human factors-based approach. IEEE Transactions on Automation Science and Engineering 17 (3) , pp. 1597-1610. 10.1109/TASE.2020.2967093

Oliff, Harley

, Williams, Michael and Ryan, Michael

2020. Reinforcement learning for facilitating human-robot-interaction in manufacturing. Journal of Manufacturing Systems 56 , pp. 326-340. 10.1016/j.jmsy.2020.06.018

Liu, Qiyu

, Wang, Kai, Li, Yan and Liu, Ying

2020. Data-driven concept network for inspiring designers' idea generation. Journal of Computing and Information Science in Engineering 20 (3) , 031004. 10.1115/1.4046207

Liu, Ying

, Soroka, Anthony

, Han, Liangxiu, Jian, Jin and Tang, Min 2020. Cloud-based big data analytics for customer insight-driven design innovation in SMEs. International Journal of Information Management 51 , 102034. 10.1016/j.ijinfomgt.2019.11.002

Shao, Yanli, Zhu, Huawei, Wang, Rui, Liu, Ying

and Liu, Yusheng

2020. A simulation data-driven design approach for rapid product optimization. Journal of Computing and Information Science in Engineering 20 (2) , 021008. 10.1115/1.4045527

Chen, Chong, Liu, Ying

, Wang, Shixuan, Di Cairano-Gilfedder, Carla, Sun, Xianfang

, Titmus, Scott and Syntetos, Aris A.

2020. Predictive maintenance using cox proportional hazard deep learning. Advanced Engineering Informatics 44 , 101054. 10.1016/j.aei.2020.101054

Jiang, Zhigang, Ding, Zhouyang, Liu, Ying

, Wang, Yan, Hu, Xiaoli and Yang, Yihua 2020. A data-driven based decomposition?integration method for remanufacturing cost prediction of end-of-life products. Robotics and Computer-Integrated Manufacturing 61 , p. 101838. 10.1016/j.rcim.2019.101838

Ding, Zhouyang, Jiang, Zhigang, Zhang, Hua, Cai, Wei and Liu, Ying

2020. An integrated decision-making method for selecting machine tool guideways considering remanufacturability. International Journal of Computer Integrated Manufacturing 33 (7) , pp. 686-700. 10.1080/0951192X.2018.1550680

Goltsos, Thanos E.

, Ponte, Borja, Wang, Shixuan, Liu, Ying

, Naim, Mohamed M.

and Syntetos, Aris A.

2019. The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems. International Journal of Production Research 57 (23) , pp. 7361-7394. 10.1080/00207543.2018.1510191

Song, Jun, Tang, Qian, Feng, Qixiang, Ma, Shuai, Setchi, Rossitza

, Han, Quanquan, Fan, Xiaojie and Zhang, Mengxiang 2019. Effect of heat treatment on microstructure and mechanical behaviours of 18Ni-300 maraging steel manufactured by selective laser melting. Optics and Laser Technology 120 , 105725. 10.1016/j.optlastec.2019.105725

Jiang, Zhigang, Ding, Zhouyang, Zhang, Hua, Cai, Wei and Liu, Ying

2019. Data-driven ecological performance evaluation for remanufacturing process. Energy Conversion and Management 198 , 111844. 10.1016/j.enconman.2019.111844

Qin, Jian, Liu, Ying

, Grosvenor, Roger

, Lacan, Franck

and Jiang, Zhigang 2019. Deep learning-driven particle swarm optimisation for additive manufacturing energy optimisation. Journal of Cleaner Production , p. 118702. 10.1016/j.jclepro.2019.118702

Chen, Chong, Liu, Ying

, Qin, Jian and Ren, Yunxia 2019. Energy consumption modelling using deep learning embedded semi-supervised learning. Computers and Industrial Engineering 135 , pp. 757-765. 10.1016/j.cie.2019.06.052

Yang, Bai, Liu, Ying

, Liang, Yan and Tang, Min 2019. Exploiting user experience from online customer reviews for product design. International Journal of Information Management 46 , pp. 173-186. 10.1016/j.ijinfomgt.2018.12.006

Chen, Chong, Liu, Ying

, Sun, Xianfang

, Cairano-Gilfedder, Carla and Titmus, Scott 2019. Automobile maintenance prediction using deep learning with GIS data. Procedia CIRP 81 , -. 10.1016/j.procir.2019.03.077

Chen, Zheyuan, Liu, Ying

and Robinson, Fiona 2019. Characterizing strip snap in cold rolling process using advanced data analytics. Procedia CIRP 81 , pp. 453-458. 10.1016/j.procir.2019.03.078

Chen, Zheyuan, Liu, Ying

and Robinson, Fiona 2019. Strip snap analytics in cold rolling process using machine learning. Presented at: 2019 IEEE 15th International Conference on Automation Science and Engineering, Vancouver, BC, Canada, 22-26 August 2019. -.

Wang, Kai, Liu, Qiyu

, Li, Yan and Liu, Ying

2019. Data and knowledge jointly driving model for design concept generation. Presented at: International Design Engineering Technical and Computers and Information in Engineering Conference, Anaheim, California, USA, 18-21 August 2019. -.

Qin, Jian, Liu, Ying

2018. Multi-source data analytics for AM energy consumption prediction. Advanced Engineering Informatics 38 , pp. 840-850. 10.1016/j.aei.2018.10.008

Tang, Min, Jin, Jian, Liu, Ying

, Li, Chunping and Zhang, Weiwen 2018. Integrating topic, sentiment and syntax for modeling online reviews: a topic model approach. Journal of Computing and Information Science in Engineering 19 (1) , 011001. 10.1115/1.4041475

Jin, Jian, Liu, Ying

, Ji, Ping and Kwong, C. K. 2018. Review on recent advances in information mining from big consumer opinion data for product design. Journal of Computing and Information Science in Engineering 19 (1) , 010801. 10.1115/1.4041087

Tang, Min, Liu, Yiping

, Li, Zhiguo and Liu, Ying

2018. Identifying service gaps from public patient opinions through text mining. Presented at: ICSEE 2018: International Conference on Intelligent Computing for Sustainable Energy and Environment and IMIOT 2018: International Conference on Intelligent Manufacturing and Internet of Things, Chongqing, China, 21-23 September 2018. Published in: Li, Kang, Fei, Minrui, Du, Dajan, Yang, Zhile and Yang, Dongsheng eds. Intelligent Computing and Internet of Things: First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Chongqing, China,. Communications in Computer and Information Science. Communications in Computer and Information Science , vol.924 Singapore: Springer, pp. 99-108. 10.1007/978-981-13-2384-3_10

Feng, Q., Tang, Q., Liu, Z., Liu, Ying

and Setchi, Rossitza M.

2018. An investigation of the mechanical properties of metallic lattice structures fabricated using selective laser melting. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232 (10) , pp. 1719-1730. 10.1177/0954405416668924

Chen, Chong, Liu, Ying

and Qin, Jian 2018. Energy consumption modelling using deep learning technique — a case study of EAF. Procedia CIRP 72 , pp. 1063-1068. 10.1016/j.procir.2018.03.095

Ding, Zhouyang, Jiang, Zhigang, Liu, Ying

, Wang, Yan and Li, Congbo 2018. A big data based cost prediction method for remanufacturing end-of-life products. Procedia CIRP 72 , pp. 1362-1367. 10.1016/j.procir.2018.03.129

Wang, Han, Jiang, Zhigang, Wang, Yan, Liu, Ying

, Li, Fei, Yan, Wei and Zhang, Hua 2018. A demands-matching multi-criteria decision-making method for reverse logistics. Procedia CIRP 72 , pp. 1398-1403. 10.1016/j.procir.2018.03.135

Wang, Shixuan, Liu, Ying

, Cairano-Gilfedder, Carla Di, Titmus, Scott, Naim, Mohamed

and Syntetos, Argyrios

2018. Reliability analysis for automobile engines: conditional inference trees. Procedia CIRP 72 , pp. 1392-1397. 10.1016/j.procir.2018.03.065

Oliff, Harley

and Williams, Michael 2018. Integrating intelligence and knowledge of human factors to facilitate collaboration in manufacturing. Presented at: IDETC/CIE 2018: International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Quebec City, QC, Canada, 26-29 August 2018.

Liang, Yan, Liu, Ying

, Chen, Chong and Jiang, Zhigang 2018. Extracting topic-sensitive content from textual documents - A hybrid topic model approach. Engineering Applications of Artificial Intelligence 70 , pp. 81-91. 10.1016/j.engappai.2017.12.010

Lan, Lijun, Liu, Ying

and Lu, Wen Feng 2018. Learning from the past: uncovering design process models using an enriched process mining. Journal of Mechanical Design 140 (4) , 041403. 10.1115/1.4039200

Han, Liangxiu, Haleem, Muhammad Salman, Sobeih, Tam, Liu, Ying

, Soroka, Anthony

and Han, Lianghao 2018. An automated cloud-based big data analytics platform for customer insights. Presented at: The Second International Symposium on Big Data and Smart Sustainable Society (Bigdata-2017), Exeter, UK, 21-23 June 2017. Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2017 IEEE International Conference on. IEEE, pp. 287-292. 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.48

Feng, Qixiang, Tang, Qian, Liu, Ying

, Setchi, Rossitza

, Soe, Shwe, Ma, Shuai and Bai, Long 2018. Quasi-static analysis of mechanical properties of Ti6Al4V lattice structures manufactured using selective laser melting. International Journal of Advanced Manufacturing Technology 94 (5-8) , pp. 2301-2313. 10.1007/s00170-017-0932-7

Wang, Yequan, Sun, Aixin, Han, Jialong, Liu, Ying

and Zhu, Xiaoyan 2018. Sentiment analysis by capsules. Presented at: The Web Conference 2018, Lyon, France, 23-27 April 2018. Proceedings of the 2018 World Wide Web Conference. pp. 1165-1174. 10.1145/3178876.3186015

Oliff, Harley

and Williams, Michael 2018. A framework of integrating knowledge of human factors to facilitate HMI and collaboration in intelligent manufacturing. Procedia CIRP 72 , pp. 135-140. 10.1016/j.procir.2018.03.047

Chen, Chong, Liu, Ying

, Sun, Xianfang

, Wang, Shixuan, Di Cairano-Gilfedder, Carla, Titmus, Scott and Syntetos, Aris

2018. Reliability analysis using deep learning. Presented at: ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Quebec City, Canada, 26-29 August 2018. ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Volume 1B: 38th Computers and Information in Engineering Conference Quebec City, Quebec, Canada, August 26–29, 2018. ASME, V01BT02A040. 10.1115/DETC2018-86172

Qin, Feiwei, Xu, Hairui, Zhang, Weicheng, Yuan, Lin, Li, Ming, Liu, Yusheng

and Chen, Yong 2018. Voice of the customer oriented new product synthesis over knowledge graphs. Presented at: ASME 2018 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2018), Quebec City, QC, Canada, 26-29 August 2018. ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: Volume 1A: 38th Computers and Information in Engineering Conference Quebec City, Quebec, Canada, August 26–29, 2018. American Society of Mechanical Engineers, V01AT02A032. 10.1115/DETC2018-85909

Lan, Lijun, Liu, Ying

and Lu, Wen Feng 2017. Automatic discovery of design task structure using deep belief nets. Journal of Computing and Information Science in Engineering 17 (4) , 041001. 10.1115/1.4036198
Item availability restricted.

Wang, Xiaoying, Zeng, Yong, Arntzen, Aurilla Aurelie, Kim, Kyoung-Yun and Liu, Ying

2017. Organizational capability: skills related to organizational knowledge. Journal of Integrated Design and Process Science 21 (1) , pp. 1-3. 10.3233/jid-2017-0010

Kim, Harrison Hyung Min, Liu, Ying

, Wang, Charlie C.L. and Wang, Yan 2017. Special Issue: Data-Driven Design (D3). Journal of Mechanical Design 139 (11) , 110301. 10.1115/1.4037943

Qin, Jian, Liu, Ying

2017. A framework of energy consumption modelling for additive manufacturing using Internet of Things. Procedia CIRP Conference on Manufacturing System 63 , pp. 307-312. 10.1016/j.procir.2017.02.036

Soroka, Anthony

, Han, Liangxiu and Haleem, Muhammad Salman 2017. Big data driven customer insights for SMEs in redistributed manufacturing. Procedia CIRP 63 , pp. 692-697. 10.1016/j.procir.2017.03.319

Qin, Jian, Liu, Ying

2017. Data analytics for energy consumption of digital manufacturing systems using Internet of Things method. Presented at: IEEE International Conference on Automation Science and Engineering, Xi'an, China, 20-23 August 2017. IEEE International Conference on Automation Science and Engineering.

Oliff, Harley

and Liu, Ying

2017. Towards industry 4.0 utilizing data-mining techniques: a case study on quality improvement. Procedia CIRP 63 , p. 167. 10.1016/j.procir.2017.03.311

Chen, Ruirui, Liu, Yusheng, Zhang, Zhinan and Liu, Ying

2017. An automated generation method of system architecture with component's multi-criterion evaluation. Presented at: The 21st International Conference on Engineering Design, Vancouver, Canada, 21-25 Aug 2017.

Li, Luye, Gao, Shuming, Liu, Ying

and Qin, Xiaolian 2016. Enhanced SPARQL-based design rationale retrieval. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30 (4) , pp. 406-423. 10.1017/S089006041600038X

Chen, Yong, Zhao, Meng, Liu, Ying

and Xie, Youbai 2016. A formal functional representation methodology for conceptual design of material-flow processing devices. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30 (04) , pp. 353-366. 10.1017/S0890060416000342

McMahon, Chris, Liu, Ying

and McAdams, Daniel 2016. Engineering design informatics. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30 (04) , pp. 335-336. 10.1017/S0890060416000329

Qin, Jian, Liu, Ying

2016. A categorical framework of manufacturing for industry 4.0 and beyond. Procedia CIRP 52 , pp. 173-178. 10.1016/j.procir.2016.08.005

Dixon, Adam, Liu, Ying

and Setchi, Rossitza

2016. Computer-aided ethnography in engineering design. Presented at: 28th International Conference on Design Theory and Methodology, Charlotte, North Carolina, USA, 21-24 August 2016. ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: Volume 7: 28th International Conference on Design Theory and Methodology Charlotte, North Carolina, USA, August 21–24, 2016. ASME Proceedings , vol.7 New York, NY: ASME, V007T06A007. 10.1115/DETC2016-59832

Jin, Jian, Liu, Ying

, Ji, Ping and Liu, Hongguang

2016. Understanding big consumer opinion data for market-driven product design. International Journal of Production Research 54 (10) , pp. 3019-3041. 10.1080/00207543.2016.1154208

Marsh, Jacqueline and Eyers, Daniel

2016. Increasing production efficiency through electronic batch record systems: a case study. Presented at: SDM 2016, Chania, Crete Greece, 4 - 6 April 2016. Published in: Setchi, Rossitza

, Howlett, Robert J., Liu, Ying

eds. Sustainable Design and Manufacturing 2016. Smart Innovation, Systems and Technologies (52) Cham: pp. 261-269. 10.1007/978-3-319-32098-4_23

Morris, Ashley

, Setchi, Rossitza

and Prickett, Paul William

2016. Product change management and future information architectures. Presented at: Sustainable Design and Manufacturing 2016, Chania, Crete, Greece, 5 - 8 April 2016.. Published in: Setchi, Rossitza

, Howlett, Robert J., Liu, Ying

eds. Sustainable Design and Manufacturing 2016. Smart Innovation, Systems and Technologies , vol.1 (52) Switzerland: Springer International Publishing, pp. 241-250. 10.1007/978-3-319-32098-4_21

Davies, Alan, Packianather, Michael

, White, John and Soman, Sajith 2016. Achieving sustainability in SME manufacturing operations via the use of flexible integrated technology and product symbiosis. Presented at: SDM 2016, Crete, Greece, 4-6 April 2016. Published in: Setchi, Rossitza

, Howlett, Robert J., Liu, Ying

eds. Sustainable Design and Manufacturing 2016. Sustainable Design and Manufacturing 2016. Smart Innovation, Systems and Technologies , vol.52 Cham: Springer, pp. 281-293. 10.1007/978-3-319-32098-4_25

Dorrington, Peter, Lacan, Franck Andre

and Bigot, Samuel

2016. How are micro enterprises adopting emergent technologies? Presented at: 3rd International Conference on Sustainable Design and Manufacturing (SDM-2016), Chania, Greece, 4-6 April 2016. Published in: Setchi, Rossitza

, Howlett, Robert J., Liu, Ying

eds. Sustainable Design and Manufacturing 2016. Sustainable Design and Manufacturing 2016. Smart Innovation, Systems and Technologies (SIST) , vol.52 (52) Cham: Springer, pp. 215-226. 10.1007/978-3-319-32098-4_19

Arastehfar, Soheil, Liu, Ying

and Feng Lu, Wen 2016. An evaluation methodology for design concept communication using digital prototypes. Journal of Mechanical Design 138 (3) , 031103. 10.1115/1.4032396

Feng, Qixiang, Tang, Qian, Soe, Shwe, Liu, Ying

and Setchi, Rossitza

2016. An Investigation into the quasi-static response of Ti6Al4V lattice structures manufactured using selective laser melting. Setchi, Rossitza, Howlett, Robert J., Liu, Ying and Theobald, Peter, eds. Sustainable Design and Manufacturing 2016, Vol. 52. Smart Innovation, Systems and Technologies, Springer, pp. 399-409. (10.1007/978-3-319-32098-4_34)

Setchi, Rossitza

, Howlett, Robert J., Liu, Ying

, eds. 2016. Sustainable design and manufacturing 2016. Smart Innovation, Systems and Technologies, Springer. 10.1007/978-3-319-32098-4

Lan, Liju, Liu, Ying

and Lu, Wen Feng 2016. Discovering a hierarchical design process model using text mining. Presented at: 36th Computers and Information in Engineering Conference, Charlotte, NC, 21-24 August 2016. ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME Proceedings , vol.1B New York, NY: ASME, 10.1115/DETC2016-59829

Lan, Lijun, Liu, Ying

, Lu, Wen Feng and Alghamdi, Awn 2015. Automatic discovery of design task structure using deep belief nets. Presented at: 27th International Conference on Design Theory and Methodology, Boston, MA, 2 - 5 August 2015. Print Proceedings of the ASME 2015 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (DETC2015). , vol.7 United States of America: American Society of Mechanical Engineers, 10.1115/DETC2015-47369

Jiang, Huimin, Kwong, C. K., Siu, K. W. M. and Liu, Ying

2015. Rough set and PSO-based ANFIS approaches to modeling customer satisfaction for affective product design. Advanced Engineering Informatics 29 (3) , pp. 727-738. 10.1016/j.aei.2015.07.005

Chan, Lawrence W. C., Liu, Ying

, Chan, Tao, Law, Helen K. W., Wong, SC Cesar, Yeung, Andy P. H., Lo, K. F., Yeung, S. W., Kwok, K. Y., Chan, William Y. L., Lau, Thomas Y. H. and Shyu, Chi-Ren 2015. PubMed-supported clinical term weighting approach for improving inter-patient similarity measure in diagnosis prediction. BMC Medical Informatics and Decision Making 15 , 43. 10.1186/s12911-015-0166-2

Jin, Jian, Ji, Ping, Liu, Ying

and Johnson Lim, S.C. 2015. Translating online customer opinions into engineering characteristics in QFD: A probabilistic language analysis approach. Engineering Applications of Artificial Intelligence 41 , pp. 115-127. 10.1016/j.engappai.2015.02.006

Setchi, Rossitza