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| 1 | Wavelet and moments based off- line handwritten Tibetan character recognition 显示文摘 | Huang Heming Da Feipeng | 2013 | Journal of Information and Computational Science2013，10，6： | 1 |
| 2 | Control design approaches for nonlinear systems using multiple models显示文摘It is difficult to realize control for some complex nonlinear systems operated in different operating regions. Based on developing local models for different operating regions of the process, a novel algorithm using multiple models is proposed. It utilizes dynamic model bank to establish multiple local models, and their membership functions are defined according to respective regions. Then the nonlinear system is approximated to a weighted combination of the local models. The stability of the nonlinear system is proven. Finally, simulations are given to demonstrate the validity of the proposed method. | Junyong ZHAI Shumin FEI Feipeng DA | 2007 | 控制理论与应用(英文版)2007，5，3： | 1 |
| 3 | Nonrigid-deformation recovery for 3D face recognition using multiscale registration 显示文摘 | Cai Liang Da Feipeng | 2012 | IEEE Computer Graphics and Applications2012，32，3： | 1 |
| 4 | Sub-pixel Edge Detection Based on an Improved Moment显示文摘 | DA FEIPENG ZHANG HU | 2010 | Image and Vision Computing2010，28，： | 1 |
| 5 | Flexible three dimensional measurement technique based on a digital light processing vroiector 显示文摘 | Feipeng Da Shaoyan Gai | 2008 | ADD1 Opt2008，47，3： | 1 |
| 6 | Sub-pixel edge detection based on an improved moment显示文摘 | Feipeng Da Hu Zhang | 2010 | Image and Vision Computing2010，，12： | 1 |
| 7 | A novel algorithm for branch cut phase unwrapping显示文摘 | Zheng Dongliang and Da Feipeng | 2011 | Optics and Lasers in Engi- neering2011，49，5： | 1 |
| 8 | Sub-pixel Edge Detection Based on an Impro- ved moment 显示文摘 | Feipeng Da Hu Zhang | 2010 | Image and Vision Computing2010，28，： | 1 |
| 9 | Flexible three-dimensional measurement technique based on a digital light processing projector显示文摘 | Feipeng Da Shaoyan Gai | 2008 | Appl Opt2008，47，3： | 1 |
| 10 | A novel phase-shifting method based on strip marker显示文摘 | Gai Shaoyan Da Feipeng | 2010 | Optics and Lasers in Engineering2010，48，2： | 1 |
| 11 | Flexible three-dimensional measurement technique based on a digital light processing projector显示文摘 | Da Feipeng Gai Shaoyan | 2008 | Applied Optics2008，47，3： | 1 |
| 12 | Stereo Matching Based on Dissimilar Intensity Support and Belief Propagation显示文摘 | Da Feipeng He Fu Chen Zhangwen | 2013 | Journal of Mathematical Imaging and Vision2013，47，12： | 1 |
| 13 | A novel algorithm for branch cut phase unwrapping显示文摘 | Dongliang Zheng Feipeng Da | 2011 | Optics and Lasers in Engineering2011，，5： | 1 |
| 14 | Flexible three-dimensional measurement technique based on a digital light processing projector 显示文摘 | Feipeng Da Shaoyan Gai | 2007 | ApplOpt2007，47，3： | 1 |
| 15 | Intelligent control using multiple models based on on-line learning显示文摘In this paper we deal with the problem of plants with large parameter variations under different operating modes. A novel intelligent control algorithm based on multiple models is proposed to improve the dynamical response performance. At the same time adaptive model bank is applied to establish models without prior system information. Multiple models and corresponding controllers are automatically established on-line by a conventionally adaptive model and a re-initialized one. A best controller is chosen by the performance function at every instant. The closed-loop system’s stability and asymptotical convergence of tracking error can be guaranteed. Simulation results have confirmed the validity of the proposed method. | Junyong ZHAI Shumin FEI Feipeng DA | 2006 | 控制理论与应用(英文版)2006，4，4： | 1 |
| 16 | A novel color fringe projection based Fourier transform 3D shape measurement method 显示文摘 | DA Feipeng HUANG Hao | 2012 | Optik(S0030-4026)2012，123，24： | 1 |
| 17 | A fast,accurate phase unwrapping method for wavelet-transform profilometry显示文摘 | Feipeng Da Hao Huang | | 0，，04： | 1 |
| 18 | Sliding mode predictive control for long delaytime systems 显示文摘 | Da Feipeng | 2006 | Physics Letters A2006，348，36： | 1 |
| 19 | Hemodynamic Analysis and Diagnosis Based on Multi-Deep Learning Models显示文摘This study employs nine distinct deep learning models to categorize 12,444 blood cell images and automatically extract from them relevant information with an accuracy that is beyond that achievable with traditional techniques.The work is intended to improve current methods for the assessment of human health through measurement of the distribution of four types of blood cells,namely,eosinophils,neutrophils,monocytes,and lymphocytes,known for their relationship with human body damage,inflammatory regions,and organ illnesses,in particular,and with the health of the immune system and other hazards,such as cardiovascular disease or infections,more in general.The results of the experiments show that the deep learning models can automatically extract features from the blood cell images and properly classify them with an accuracy of 98%,97%,and 89%,respectively,with regard to the training,verification,and testing of the corresponding datasets. | Xing Deng Feipeng Da Haijian Shao | 2023 | Fluid Dynamics & Materials Processing2023，19，6： | 0 |
| 20 | Mean-square exponential stability for stochastic time-varying delay systems with Markovian jumping parameters:a delay decomposition approach显示文摘The mean-square exponential stability problem is investigated for a class of stochastic time-varying delay systems with Markovian jumping parameters.By decomposing the delay interval into multiple equidistant subintervals,a new delay-dependent and decay-rate-dependent criterion is presented based on constructing a novel Lyapunov functional and employing stochastic analysis technique.Besides,the decay rate has no conventional constraint and can be selected according to different practical conditions.Finally,two numerical examples are provided to show that the obtained result has less conservatism than some existing ones in the literature. | Li Ma Feipeng Da | 2011 | Journal of Systems Engineering and Electronics2011，22，5： | 0 |
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