A feature fusion enhanced multiscale CNN with attention mechanism for spot-welding surface appearance recognition

Electromagnetic stirring control for resistance spot welding of SiCp/Al composites

(2021) Lin Qi et al.   Journal of Manufacturing Processes

Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process

(2021) Yarens J. Cruz et al.   COMPUTERS IN INDUSTRY

A VGGNet-like approach for classifying and segmenting coal dust particles with overlapping regions

(2021) Zheng Wang et al.   COMPUTERS IN INDUSTRY

Fracture modeling of resistance spot welded ultra-high-strength steel considering the effect of liquid metal embrittlement crack

(2021) Yunwu Ma et al.   MATERIALS & DESIGN

A robust weakly supervised learning of deep Conv-Nets for surface defect inspection

(2020) Haiyong Chen et al.   NEURAL COMPUTING & APPLICATIONS

Determination of residual stress in resistance spot-welded joint by a novel X-ray diffraction

(2020) Sansan Ao et al.   MEASUREMENT

Factor analysis of deformation in resistance spot welding of complex steel sheets based on reverse engineering technology and direct finite element analysis

(2020) Xiangbo Liu et al.   Journal of Manufacturing Processes

A lightweight deep learning algorithm for inspection of laser welding defects on safety vent of power battery

(2020) Yatao Yang et al.   COMPUTERS IN INDUSTRY

Research on the correlation between dynamic resistance and quality estimation of resistance spot welding

(2020) Dawei Zhao et al.   MEASUREMENT

Deep learning assisted vision inspection of resistance spot welds

(2020) Wei Dai et al.   Journal of Manufacturing Processes

A defect classification methodology for sewer image sets with convolutional neural networks

(2019) Dirk Meijer et al.   AUTOMATION IN CONSTRUCTION

Online defect recognition of narrow overlap weld based on two-stage recognition model combining continuous wavelet transform and convolutional neural network

(2019) Rui Miao et al.   COMPUTERS IN INDUSTRY

Effective automatic defect classification process based on CNN with stacking ensemble model for TFT-LCD panel

(2019) Myeongso Kim et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A deep-learning-based approach for fast and robust steel surface defects classification

(2019) Guizhong Fu et al.   OPTICS AND LASERS IN ENGINEERING

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automated defect inspection of LED chip using deep convolutional neural network

(2018) Hui Lin et al.   JOURNAL OF INTELLIGENT MANUFACTURING