个人信息： Personal information
博士生导师
硕士生导师
学历：博士研究生毕业
毕业院校：江苏大学
在职信息：在本单位任职-退休返聘
所在单位：机械工程学院
职务：教授
- Duodu, Enock A.,孙晓红,顾寄南,唐仕喜,吴倩. RBF神经网络在机器人视觉伺服控制中的应用
- 孙晓红,顾寄南,黄锐,尚正阳. Research on the improvement of image edge detection algorithm based on artificial neural network
- 李静,黄锐,顾寄南,孙晓红,吴倩. A Rapid Recognition Method for Electronic Components Based on the Improved YOLO-V3 Network
- 孙晓红,黄锐,顾寄南,丁卫. Surface Defects Recognition of Wheel Hub Based on Improved Faster R-CNN
- 黄锐,Duodu, E. A.,Duodu, Enock A.,唐仕喜,李静,顾寄南,孙晓红. Comparison of Ballistic Impact Behavior of Carbon Fiber/Epoxy Composite and Steel Metal Structure...
- 李静,Duodu, Enock A.,唐仕喜,Duodu, E. A.,顾寄南,Shang, Zhengyang. Eigen Solution of Neural Networks and Its Application in Prediction and Analysis of Controller Pa...
- Duodu, E. A.,李静,Duodu, Enock A.,唐仕喜,顾寄南. A Fault-Signal-Based Generalizing Remaining Useful Life Prognostics Method for Wheel Hub Bearings
- Duodu, Enock A.,Duodu, E. A.,李静,唐仕喜,顾寄南. Research Progress of Visual Inspection Technology of Steel Products-A Review
- 李静,Duodu, Enock A.,唐仕喜,Duodu, E. A.,顾寄南,陈四杰. Simulation of Composite Laminate with Cohesive Interface Elements Under Low- Velocity Impact Load...
- Duodu, E. A.,李静,唐仕喜,Duodu, Enock A.,陈四杰,顾寄南. Application Research of Improved YOLO V3 Algorithm in PCB Electronic Component Detection