An effective industrial defect classification method under the few-shot setting via two-stream training

Improving the prediction of continuous integration build failures using deep learning

(2022) Islem Saidani et al.   Automated Software Engineering

Opposition-based Laplacian Equilibrium Optimizer with application in Image Segmentation using Multilevel Thresholding

(2021) Shail Kumar Dinkar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Data-driven estimation of building energy consumption with multi-source heterogeneous data

(2020) Yue Pan et al.   APPLIED ENERGY

Self-adaptive Salp Swarm Algorithm for Engineering Optimization Problems

(2020) Rohit Salgotra et al.   APPLIED MATHEMATICAL MODELLING

Stress detection using ECG and EMG signals: A comprehensive study

(2020) Sara Pourmohammadi et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

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

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

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

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

Flood susceptibility mapping using convolutional neural network frameworks

(2019) Yi Wang et al.   JOURNAL OF HYDROLOGY

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

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

NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

(2018) Fu-Chen Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Integrating image processing and classification technology into automated polarizing film defect inspection

(2018) Chung-Feng Jeffrey Kuo et al.   OPTICS AND LASERS IN ENGINEERING

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

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

An End-to-End Steel Strip Surface Defects Recognition System Based on Convolutional Neural Networks

(2016) Li Yi et al.   STEEL RESEARCH INTERNATIONAL

Review of vision-based steel surface inspection systems

(2014) Nirbhar Neogi et al.   EURASIP Journal on Image and Video Processing

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

A physics-based defects model and inspection algorithm for automatic visual inspection

(2013) Yu Xie et al.   OPTICS AND LASERS IN ENGINEERING

Automatic Defect Detection on Hot-Rolled Flat Steel Products

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

Classification of defects in steel strip surface based on multiclass support vector machine

(2012) Huijun Hu et al.   MULTIMEDIA TOOLS AND APPLICATIONS