科研项目: | [1] 天津职业技术师范大学科研启动项目, 数据驱动的复杂钛合金铸件内部缺陷样本仿真机理及自适应精准识别研究. (主持) [2] 校企合作项目, 多元样本对铸件射线图像缺陷智能检测模型精度的影响机理研究. (主持) [3] 华中科技大学研究生创新基金项目, 大数据与领域知识双重驱动的铸件X射线图像缺陷智能识别关键算法研究. (主持) [4] 军口基础科研重大计划专题, 航天发动机 XXXXX SLM成形XXXX质量在线监测研究. (骨干参研) [5] 国家重点研发计划, 复杂铸件制造过程质量大数据分析平台软件及应用. (参与) |
近年代表性论文: | [1] Bo Wu, Jianxin Zhou, Huanqing Yang, Zhiwei Huang, Xiaoyuan Ji, Dongjian Peng, Yajun Yin, Xu Shen. An ameliorated deep dense convolutional neural network for accurate recognition of casting defects in X-ray images[J]. Knowledge-Based Systems, 2021, 226: 107096.(SCI 源刊;IF: 8.038) [2] Bo Wu, Jianxin Zhou, Xiaoyuan Ji, Yajun Yin, Xu Shen. An ameliorated teaching-learning-based optimization algorithm based study of image segmentation for multilevel thresholding using Kapur’s entropy and Otsu’s between class variance[J]. Information Sciences, 2020, 533: 72-107.(SCI 源刊;IF: 6.79) [3] Bo Wu, Xiaoyuan Ji, Jianxin Zhou, Huanqing Yang, Dongjian Peng, Zeming Wang, Yuanjie Wu, Yajun Yin. In situ monitoring methods for selective laser melting additive manufacturing process based on images - A review[J]. China Foundry, 2021, 18(4): 265-285.(SCI 源刊;IF: 1.202) [4] Bo Wu, Jianxin Zhou, Xiaoyuan Ji, Yajun Yin, Xu Shen. Research on approaches for computer aided detection of casting defects in X-ray images with feature engineering and machine learning[J]. Procedia Manufacturing, 2019, 37: 394-401. [5] 武博, 计效园, 孙晓龙, 周建新, 殷亚军, 沈旭. 基于X射线图像的铸件缺陷智能检测与识别方法研究进展[J]. 铸造, 2022, 71(6): 709-718. [6] 武博, 周建新, 计效园, 殷亚军, 沈旭. 基于 BSA-FCM 算法的铸件 X 射线图像分割研究[C]. 第 20 届全国 27 省(市、自治区)4 市铸造学术会议论文集. 广州, 2019: 689-697. |