首页|期刊导航|电子科技学刊|Recognition of mortar pumpability via computer vision and deep learning

Recognition of mortar pumpability via computer vision and deep learningOA

Recognition of mortar pumpability via computer vision and deep learning

Hao-Zhe Feng;Hong-Yang Yu;Wen-Yong Wang;Wen-Xuan Wang;Ming-Qian Du

Research Institute Electronic Science and Technology,University of Electronic Science and Technology of China,Chengdu,611731,ChinaResearch Institute Electronic Science and Technology,University of Electronic Science and Technology of China,Chengdu,611731,ChinaSchool of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu,611731,ChinaSchool of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu,611731,ChinaThe Second Research Institute of Civil Aviation Administration of China,Chengdu,610041,China

ClassificationComputer visionDeep learningPumpability2-dimensional convolutional long short-term memory network (ConvLSTM2D)3-dimensional convolutional neural network(3D CNN)

ClassificationComputer visionDeep learningPumpability2-dimensional convolutional long short-term memory network (ConvLSTM2D)3-dimensional convolutional neural network(3D CNN)

《电子科技学刊》 2023 (3)

73-81,9

This work was supported by the Key Project of National Natural Science Foundation of China-Civil Aviation Joint Fund under Grant No.U2033212

10.1016/j.jnlest.2023.100215

评论

您当前未登录!去登录点击加载更多...