A new graph-based semi-supervised method for surface defect classification

A zero-shot learning method for fault diagnosis under unknown working loads

(2019) Yiping Gao et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Surface defect classification of steels with a new semi-supervised learning method

(2019) He Di et al.   OPTICS AND LASERS IN ENGINEERING

Design of multi-scale receptive field convolutional neural network for surface inspection of hot rolled steels

(2019) Di He et al.   IMAGE AND VISION COMPUTING

Semi-supervised defect classification of steel surface based on multi-training and generative adversarial network

(2019) Yu He et al.   OPTICS AND LASERS IN ENGINEERING

A semi-supervised convolutional neural network-based method for steel surface defect recognition

(2019) Yiping Gao et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

An Unsupervised-Learning-Based Approach for Automated Defect Inspection on Textured Surfaces

(2018) Shuang Mei et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Using artificial intelligence models for the prediction of surface wear based on surface isotropy levels

(2018) A. Bustillo et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A Generic Deep-Learning-Based Approach for Automated Surface Inspection

(2018) Ruoxu Ren et al.   IEEE Transactions on Cybernetics

Deformable Patterned Fabric Defect Detection With Fisher Criterion-Based Deep Learning

(2017) Yundong Li et al.   IEEE Transactions on Automation Science and Engineering

Classification of surface defects on steel sheet using convolutional neural networks

(2017) Shiyang Zhou et al.   Materiali in Tehnologije

Residual stresses evaluation in precision milling of hardened steel based on the deflection-electrochemical etching technique

(2017) I. Vilček et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A cost-effective and automatic surface defect inspection system for hot-rolled flat steel

(2016) Qiwu Luo et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Influence of cutting environments on surface integrity and power consumption of austenitic stainless steel

(2015) P. Muñoz-Escalona et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects

(2013) Kechen Song et al.   APPLIED SURFACE SCIENCE

Automatic Defect Detection on Hot-Rolled Flat Steel Products

(2012) Santanu Ghorai et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT