... learning Computer vision Invariance propagation Convolutional neural network Temperature parameter National Natural Science Foundation of China 62025304 Visual defect recognition is a significant and challenging work in the real industrial production scenarios. It has been successfully...

... the fault identification and classification with the optimized convolutional neural network. Jianbin Xiong can be contacted at: 276158903@qq.com 26 04 2022 24 07 2023 22 08 2023 23 08 2023 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use...

... 2023 © Emerald Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only Hot-rolled steel strip Surface defect classification Convolutional neural network Mixed attention mechanism Network model comparison method Fundamental Research Funds for the Central...

...Jianbin Xiong; Jinji Nie; Jiehao Li Purpose This paper primarily aims to focus on a review of convolutional neural network (CNN)-based eye control systems. The performance of CNNs in big data has led to the development of eye control systems. Therefore, a review of eye control systems based...

... and shadows becomes a challenge. Design/methodology/approach A new learning framework based on an integration of extreme learning machine (ELM) and an inception structure named multiscale ELM is proposed, making full use of the advantages that ELM has faster convergence and convolutional neural network...

...Jiang Daqi; Wang Hong; Zhou Bin; Wei Chunfeng Purpose This paper aims to save time spent on manufacturing the data set and make the intelligent grasping system easy to deploy into a practical industrial environment. Due to the accuracy and robustness of the convolutional neural network...