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2020 – today
- 2023
[j37]Jin Qi
, Jie Hu, Yinghong Peng:
Conceptual Design Evaluation Using Interval Intuitionistic Fuzzy-Z-Number for Multiple Uncertain Information from Decision-Maker. Int. J. Fuzzy Syst. 25(8): 3119-3143 (2023)- [j36]Dong Wang, Yongjia Zheng, Wei Dai, Ding Tang, Yinghong Peng:
Deep Network-Assisted Quality Inspection of Laser Welding on Power Battery. Sensors 23(21): 8894 (2023) - 2022
- [j35]Jin Qi, Jie Hu, Haiqing Huang, Yinghong Peng:
New customer-oriented design concept evaluation by using improved Z-number-based multi-criteria decision-making method. Adv. Eng. Informatics 53: 101683 (2022) - [j34]Wei Dai, Dayong Li, Ding Tang, Huamiao Wang, Yinghong Peng:
Deep learning approach for defective spot welds classification using small and class-imbalanced datasets. Neurocomputing 477: 46-60 (2022) - [j33]Dong Wang, Wei Dai, Ding Tang, Yan Liang, Jing Ouyang, Huamiao Wang, Yinghong Peng:
Deep learning approach for bubble segmentation from hysteroscopic images. Medical Biol. Eng. Comput. 60(6): 1613-1626 (2022) - 2021
- [j32]Jin Qi, Jie Hu, Yinghong Peng:
A customer-involved design concept evaluation based on multi-criteria decision-making fusing with preference and design values. Adv. Eng. Informatics 50: 101373 (2021) - [j31]Jin Qi, Jie Hu, Yinghong Peng:
Modified rough VIKOR based design concept evaluation method compatible with objective design and subjective preference factors. Appl. Soft Comput. 107: 107414 (2021) - [j30]Jin Qi, Jie Hu, Yinghong Peng:
Information-intensive design solution evaluator combined with multiple design and preference information in product design. Inf. Sci. 570: 360-382 (2021) - 2020
- [j29]Jin Qi, Jie Hu, Ying-hong Peng:
Integrated rough VIKOR for customer-involved design concept evaluation combining with customers' preferences and designers' perceptions. Adv. Eng. Informatics 46: 101138 (2020) - [j28]Jin Qi, Jie Hu, Ying-hong Peng:
New design concept evaluation method involving customer preferences based on rough distance to redefined ideal solution. Comput. Ind. Eng. 147: 106677 (2020) - [c12]Yasheng Sun, Tao He, Yinghong Peng, Jin Qi, Jie Hu:
Prediction-Decision Network For Video Object Tracking. ICIP 2020: 271-275
2010 – 2019
- 2018
- [j27]Jin Qi, Jie Hu, Ying-hong Peng:
An integrated principle solution synthesis method in multi-disciplinary mechatronic product conceptual design. Concurr. Eng. Res. Appl. 26(4) (2018) - 2017
- [j26]Jie Hu, Jin Ma, Jin-Feng Feng, Ying-hong Peng:
Research on new creative conceptual design system using adapted case-based reasoning technique. Artif. Intell. Eng. Des. Anal. Manuf. 31(1): 16-29 (2017) - [j25]Guo-Niu Zhu, Jie Hu, Jin Qi, Tao He, Ying-hong Peng:
Change mode and effects analysis by enhanced grey relational analysis under subjective environments. Artif. Intell. Eng. Des. Anal. Manuf. 31(2): 207-221 (2017) - [j24]Jin Qi, Jie Hu, Ying-hong Peng:
A modularized case adaptation method of case-based reasoning in parametric machinery design. Eng. Appl. Artif. Intell. 64: 352-366 (2017) - 2016
- [j23]Jin Qi, Jie Hu, Ying-hong Peng:
Hybrid weighted mean for CBR adaptation in mechanical design by exploring effective, correlative and adaptative values. Comput. Ind. 75: 58-66 (2016) - 2015
- [j22]Guo-Niu Zhu, Jie Hu, Jin Qi, Chao-Chen Gu, Ying-hong Peng:
An integrated AHP and VIKOR for design concept evaluation based on rough number. Adv. Eng. Informatics 29(3): 408-418 (2015) - [j21]Jie Hu, Jin Qi, Ying-hong Peng:
New CBR adaptation method combining with problem-solution relational analysis for mechanical design. Comput. Ind. 66: 41-51 (2015) - [j20]Jin Qi, Jie Hu, Ying-hong Peng:
Incorporating adaptability-related knowledge into support vector machine for case-based design adaptation. Eng. Appl. Artif. Intell. 37: 170-180 (2015) - [j19]Guo-Niu Zhu, Jie Hu, Jin Qi, Jin Ma, Ying-hong Peng:
An integrated feature selection and cluster analysis techniques for case-based reasoning. Eng. Appl. Artif. Intell. 39: 14-22 (2015) - [j18]Jie Hu, Jin Qi, Ying-hong Peng, Qiushi Ren:
Predicting electrical evoked potential in optic nerve visual prostheses by using support vector regression and case-based prediction. Inf. Sci. 290: 7-21 (2015) - [c11]Jie Hu, Guo-Niu Zhu, Jin Qi, Ying-hong Peng, Xiaohong Peng:
Design Concept Evaluation Based on Rough Number and Information Entropy Theory. UIC/ATC/ScalCom 2015: 1425-1431 - 2014
- [j17]Yuan Guo, Jie Hu, Ying-hong Peng:
Research of new strategies for improving CBR system. Artif. Intell. Rev. 42(1): 1-20 (2014) - [j16]Wei-ming Wang, Xun Peng, Guo-Niu Zhu, Jie Hu, Ying-hong Peng:
Dynamic representation of fuzzy knowledge based on fuzzy petri net and genetic-particle swarm optimization. Expert Syst. Appl. 41(4): 1369-1376 (2014) - 2013
- [j15]Jin Qi, Jie Hu, Ying-hong Peng, Xinyu Chai, Qiushi Ren:
Case based time series prediction using biased time warp distance for electrical evoked potential forecasting in visual prostheses. Appl. Soft Comput. 13(5): 2467-2477 (2013) - [j14]Jin Ma, Jie Hu, Kai Zheng, Ying-hong Peng:
Knowledge-based functional conceptual design: Model, representation, and implementation. Concurr. Eng. Res. Appl. 21(2): 103-120 (2013) - [j13]Yuan Guo, Ying-hong Peng, Jie Hu:
Research on high creative application of case-based reasoning system on engineering design. Comput. Ind. 64(1): 90-103 (2013) - 2012
- [j12]Yuan Guo, Jie Hu, Ying-hong Peng:
A CBR system for injection mould design based on ontology: A case study. Comput. Aided Des. 44(6): 496-508 (2012) - [j11]Sheng Li, Frank Zöllner, Andreas D. Merrem, Ying-hong Peng, Jarle Rørvik, Arvid Lundervold, Lothar R. Schad:
Wavelet-based segmentation of renal compartments in DCE-MRI of human kidney: Initial results in patients and healthy volunteers. Comput. Medical Imaging Graph. 36(2): 108-118 (2012) - [j10]Jin Qi, Jie Hu, Ying-hong Peng:
A new adaptation method based on adaptability under k-nearest neighbors for case adaptation in case-based design. Expert Syst. Appl. 39(7): 6485-6502 (2012) - 2011
- [j9]Yuan Guo, Jie Hu, Ying-hong Peng:
Research on CBR system based on data mining. Appl. Soft Comput. 11(8): 5006-5014 (2011) - [j8]Jin Qi, Jie Hu, Ying-hong Peng, Qiushi Ren:
Electrical evoked potentials prediction model in visual prostheses based on support vector regression with multiple weights. Appl. Soft Comput. 11(8): 5230-5242 (2011) - [j7]Xiao Hu, Jie Hu, Aicha Sekhari, Ying-hong Peng, Zhaomin Cao:
A Fuzzy Knowledge Fusion Framework for Terms Conflict Resolution in Concurrent Engineering. Concurr. Eng. Res. Appl. 19(1): 71-84 (2011) - [j6]Jin Qi, Jie Hu, Ying-hong Peng, Wei-ming Wang, Zhenfei Zhang:
AGFSM: An new FSM based on adapted Gaussian membership in case retrieval model for customer-driven design. Expert Syst. Appl. 38(1): 894-905 (2011) - [j5]Jin Qi, Jie Hu, Ying-hong Peng, Qiushi Ren, Wei-ming Wang, Zhenfei Zhang:
Integration of similarity measurement and dynamic SVM for electrically evoked potentials prediction in visual prostheses research. Expert Syst. Appl. 38(5): 5044-5060 (2011) - 2010
- [j4]Sheng Li, Jie Hu, Ying-hong Peng:
Representation of functional micro-knowledge cell (FMKC) for conceptual design. Eng. Appl. Artif. Intell. 23(4): 569-585 (2010)
2000 – 2009
- 2009
- [j3]Jin Qi, Jie Hu, Ying-hong Peng, Wei-ming Wang, Zhenfei Zhang:
A case retrieval method combined with similarity measurement and multi-criteria decision making for concurrent design. Expert Syst. Appl. 36(7): 10357-10366 (2009) - [j2]Jie Hu, Ying-hong Peng, Guangleng Xiong:
Robust decision and optimisation for collaborative parameter design. Int. J. Comput. Appl. Technol. 36(3/4): 172-180 (2009) - 2008
- [c10]Xiangjun Fu, Ying-hong Peng:
Automated Capture of Design Knowledge from Design Process. FSKD (5) 2008: 415-419 - 2007
- [j1]Jie Hu, Ying-hong Peng, Guangleng Xiong:
Knowledge Network Driven Coordination and Robust Optimization to Support Concurrent and Collaborative Parameter Design. Concurr. Eng. Res. Appl. 15(1): 43-52 (2007) - [c9]Jie Hu, Ying-hong Peng:
Multidisciplinary Knowledge Modeling and Cooperative Design for Automobile Development. CDVE 2007: 304-306 - [c8]Jie Hu, Ying-hong Peng:
Knowledge-Based Cooperative Learning Platform for Three-Dimensional CAD System. CDVE 2007: 413-419 - [c7]Jie Hu, Ying-hong Peng, Guangleng Xiong:
Robust Parameter Decision-Making Based on Multidisciplinary Knowledge Model. MDAI 2007: 431-442 - 2006
- [c6]Wei-ming Wang, Jie Hu, Jilong Yin, Ying-hong Peng:
Uncertainty Management in the Concurrent and Collaborative Design based on Generalized Dynamic Constraints Network (GDCN). CSCWD 2006: 354-359 - [c5]Jie Hu, Guangleng Xiong, Ying-hong Peng, Wei-ming Wang:
Parameter Coordination for Multidisciplinary Collaborative Design. CSCWD 2006: 369-374 - [c4]Jie Hu, Ying-hong Peng, Dayong Li, Jilong Yin, Guangleng Xiong:
Multidisciplinary Knowledge Modeling from Simulation and Specification to Support Concurrent and Collaborative Design. CSCWD (Selected Papers) 2006: 570-578 - [c3]Jie Hu, Jilong Yin, Ying-hong Peng, Dayong Li:
Knowledge Discovery from Multidisciplinary Simulation to Support Concurrent and Collaborative Design. CSCWD 2006: 822-827 - [c2]Jie Hu, Ying-hong Peng:
Collaborative Design Optimization Based on Knowledge Discovery from Simulation. MICAI 2006: 663-673 - 2005
- [c1]Wei-ming Wang, Jie Hu, Fei Zhou, Dayong Li, Xiangjun Fu, Ying-hong Peng:
The Study of a Knowledge-Based Constraints Network System (KCNS) for Concurrent Engineering. ICMLC 2005: 268-277
Coauthor Index
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