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1. 基于计算机视觉的检测仪器研制
面向能源行业质量检测需求,基于计算机视觉技术,研究先进传感原理与测量技术,研制先进传感器、精密测量仪器与装备,解决精密测量难题。
2. 跨学科小样本数据分析
面向机器视觉缺陷检测、土木工程、传染病传播等实验成本高、数据获取困难、数据维度多的工程数据分析对象,开展基于人工智能技术的数据分析,为各学科数据认知提供技术指导。
3. 跨学科检测技术应用与研发
面向不同行业的新型视觉检测技术需求,基于机器视觉方法,完成传统检测方法的人工智能升级。
- 张耕培, Internal Thread Defect Generation Algorithm and Detection System Based on Generative Adversarial Networks and You Only Look Once.sensors,2024-08-30
- Deng, Tianyi,张耕培,Xue, Chengqi. Data modeling analysis of GFRP tubular filled concrete column based on small sample deep meta learning method.PLOS ONE,2024-07-10
- Prediction and control of COVID-19 spreading based on a hybrid intelligent model,2021-02-11
- Dou, Xiaohan,张耕培,Xue, Chengqi,Jiang, Zhihao. Internal thread defect detection system based on multi-vision.PLOS ONE,2024-05-28
- 舒佩瑶,张耕培,薛程琪,邓天翊. Study on design optimization of GFRP tubular column composite structure based on machine learning method.PLOS ONE,2024-04-26
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