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    Chapter and Conference Paper

    A Review of Data-Driven Techniques for Neuromarketing

    Recent years, Fusion neuroscience and cognitive science applied in psychology, sociology, economics, management become the new research fields. Combined with the latest marketing condition, using the method of...

    Baorui Li, Yi Wang, Kesheng Wang, Dong Zhang in Advanced Manufacturing and Automation XII (2023)

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    Chapter and Conference Paper

    Production Control Method and DEMO Study of Mass Personalization Production in Industry 4.0

    With the development of information technology, it is more and more convenient to obtain personalized customer demand information. After obtaining personalized demand information, how to transform the customer...

    Baorui Li, **ng Wu, Dong Zhang, Yi Wang in Advanced Manufacturing and Automation XII (2023)

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    Article

    Multiple source domain adaptation in micro-expression recognition

    Facial recognition has now played a pivotal role in many applications, including biomechanics, sports, image segment, animation, and robotics, etc. Although commercial facial recognition is matured, micro-expr...

    **aorui Zhang, Tong Xu, Wei Sun, Aiguo Song in Journal of Ambient Intelligence and Humani… (2021)

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    Chapter and Conference Paper

    Automatic Liver and Tumor Segmentation of CT Based on Cascaded U-Net

    Automatic segmentation of liver and tumor plays a crucial role in medical-aided diagnosis. At present, neural networks have been widely used in medical image processing. There are many FCN-based methods used f...

    **aorui Feng, Chaoli Wang, Shuqun Cheng in Proceedings of 2018 Chinese Intelligent Sy… (2019)

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    Chapter and Conference Paper

    Research on Straightness Error Evaluation Method Based on Search Algorithm of Beetle

    In order to improve the accuracy of spatial straightness assessment, a mathematical model of spatial straightness is established. The objective function is solved by using a variable step length beetle search ...

    Chen Wang, Cong Ren, Baorui Li, Yi Wang in Advanced Manufacturing and Automation VIII (2019)

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    Chapter and Conference Paper

    Application of CNN Deep Learning in Product Design Evaluation

    Convolutional Neural Network (CNN) is an excellent deep learning algorithm. It can not only extract image features accurately, but also can reduce the complexity of the model. This paper combines the advanced ...

    Baorui Li, Yi Wang, Kesheng Wang in Advanced Manufacturing and Automation VIII (2019)

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    Chapter and Conference Paper

    A Study on a Novel Application of Eye Tracking Technology in Product Customization

    In the context of industry 4.0, personalized customization of products will be an important part of intelligent manufacturing. In a market competition, improving customer satisfaction is important to enhance t...

    Baorui Li, Yi Wang, Kesheng Wang, **ghui Yang in Advanced Manufacturing and Automation VII (2018)

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    Chapter and Conference Paper

    A Modified Teaching and Learning Based Optimization Algorithm and Application in Deep Neural Networks Optimization for Electro-Discharge Machining

    In order to improve the output precision of depth neural networks, an improved teaching and learning optimization algorithm is proposed to optimize the weights and thresholds of depth neural networks. The algo...

    Chen Wang, Baorui Li, Yi Wang, Kesheng Wang in Advanced Manufacturing and Automation VII (2018)

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    Chapter and Conference Paper

    Influence of the Oblique Trimmed Impeller on Pressure Fluctuations in Centrifugal Pump at Low Flow Rate

    At the low flow rate the recirculation occurred at the impeller outlet always induces the low frequency pressure fluctuation, which has severe influence on the safety of pumps. In order to investigate the infl...

    Rui Cao, Qiaorui Si, Guochen Sheng, Gang Lin in Advances in Mechanical Design (2018)

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    Chapter and Conference Paper

    Robust Adaptive Control for Robotic Systems with Guaranteed Parameter Estimation

    In this paper, we propose a novel adaptive control scheme for robotic systems by incorporating the parameter error into the adaptive law. By carrying out filter operations, the robotic system is linearly param...

    Baorui **g, **g Na, Guanbin Gao in Proceedings of the 2015 Chinese Intelligen… (2016)