Dimension Reduction and Defect Recognition of Strip Surface Defects Based on Intelligent Information Processing

Nonlinear Dimensionality Reduction by Locally Linear Embedding

Roweis, S. T., & Saul, L. K. (2000) · Science · doi:10.1126/science.290.5500.2323 · Cited by 14,965 · see citing works

A Global Geometric Framework for Nonlinear Dimensionality Reduction

Tenenbaum, J. B., Silva, V. D., & Langford, J. C. (2000) · Science · doi:10.1126/science.290.5500.2319 · Cited by 13,585 · see citing works

Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

Belkin, M., & Niyogi, P. (2003) · Neural Computation · doi:10.1162/089976603321780317 · Cited by 7,822 · see citing works

Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection

Samanta, B., Al-Balushi, K. R., & Al-Araimi, S. A. (2003) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2003.09.006 · Cited by 519 · see citing works

Proceedings of 2004 International Conference on Machine Learning and Cybernetics

(2004) · International Conference on Machine Learning and Cybernetics · doi:10.1109/icmlc.2004.1378168 · Cited by 300 · see citing works

A Non-Invasive Technique for Online Defect Detection on Steel Strip Surfaces

Bulnes, F. G., García, D. F., de la Calle, F. J., Usamentiaga, R., & Molleda, J. (2016) · Journal of Nondestructive Evaluation · doi:10.1007/s10921-016-0370-8 · Cited by 42 · see citing works

A fast, on-line algorithm for PCA and its convergence characteristics

Rao, Y. N., & Príncipe, J. C. (2002) · IEEE Workshop on Neural Networks for Signal Processing (NNSP) · doi:10.1109/nnsp.2000.889421 · Cited by 39 · see citing works

Comprehensible evaluation of prognostic factors and prediction of wound healing

Robnik‐Šikonja, M., Cukjati, D., & Kononenko, I. (2003) · Artificial Intelligence in Medicine · doi:10.1016/s0933-3657(03)00044-7 · Cited by 36 · see citing works

Defects recognition on X-ray images for weld inspection using SVM

Zhang, X., Xu, J., & Ge, G. (2005) · doi:10.1109/icmlc.2004.1380463 · Cited by 35 · see citing works

Strip Steel Surface Defect Recognition Based on Novel Feature Extraction and Enhanced Least Squares Twin Support Vector Machine

Chu, M., Wang, A., Gong, R., & Sha, M. (2014) · ISIJ International · doi:10.2355/isijinternational.54.1638 · Cited by 26 · see citing works

Locally preserving PCA method based on manifold learning and its application in fault detection

Wang, J., Feng, J., & Han, Z. (2013) · Kongzhi yu juece · Cited by 7 · see citing works

Steel strip surface defects classification based on machine learning

Hu, H.-J. (2014) · Cited by 6 · see citing works

Surface Defect Recognition for Steel Strips by Combining Multiple Classifiers

Yan, Y. (2012) · Journal of Northeastern University · Cited by 4 · see citing works

Multiple features remote sensing image classification based on combining ReliefF and mRMR

Wang, L. (2014) · Chinese Journal of Stereology and Image Analysis · Cited by 4 · see citing works

Research on defect surface online detection,classification and recognition algorithm for strip steel

Ying-l, H. (2015) · Journal of Optoelectronics·laser · Cited by 3 · see citing works

Strip steel surface defect recognition based on Boosting optimized decision tree

Zhao, W. (2010) · Infrared and Laser Engineering · Cited by 3 · see citing works

Multidimensional mixing features extraction and recognition for surface defect of steel strip

Ying-l, H. (2015) · Gangtie yanjiu xuebao · Cited by 1 · see citing works

Principal Feature Selection Method Based on Improved ReliefF Algorithm

Wu, S., Qing-peng, Z., & Wang, M. (2008) · Jisuanji gongcheng · Cited by 1 · see citing works

Automated Visual Defect Classification for Flat Steel Surface: A Survey

Luo, Q., Fang, X., Su, J., Zhou, J., Zhou, B., Yang, C., Liu, L., Gui, W., & Tian, L. (2020) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2020.3030167 · Cited by 148 · see citing works

Smart Fault-Detection Machine for Ball-Bearing System with Chaotic Mapping Strategy

Li, S.-Y., & Gu, K.-R. (2019) · Sensors · doi:10.3390/s19092178 · Cited by 16 · see citing works

An adaptive clustering method detecting the surface defects on linear guide rails

Zhou, Y., Ma, Z., Shi, X., & Zhang, K. (2019) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2019.1636409 · Cited by 11 · see citing works

Investigation on SMT Product Defect Recognition Based on Multi-Source and Multi-Dimensional Data Reconstruction

Chang, J., Qiao, Z., Wang, Q., Kong, X., & Yuan, Y. (2022) · Micromachines · doi:10.3390/mi13060860 · Cited by 7 · see citing works

A novel hybrid attention gate based on vision transformer for the detection of surface defects

Üzen, H., Türkoğlu, M., Öztürk, D., & Hanbay, D. (2024) · Signal Image and Video Processing · doi:10.1007/s11760-024-03355-2 · Cited by 5 · see citing works

GNPENet: A Novel Convolutional Neural Network With Local Structure for Fault Diagnosis

Wang, J., Ran, R., & Fang, B. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3329156 · Cited by 4 · see citing works

A Novel Angle-Based Learning Framework on Semi-supervised Dimensionality Reduction in High-Dimensional Data with Application to Action Recognition

Ramezani, Z., Pourdarvish, A., & Teymourian, K. (2020) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-020-04869-w

Automobile Service Evaluation and Analysis System Based on RVM Algorithm

Xu, G., Jin, X., Cai, X., Yao, X., & Ji, B. (2022) · Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) · doi:10.1109/ipec54454.2022.9777408

Strip Steel Surface Defects Recognition Based on SOCP Optimized Multiple Kernel RVM

Hou, J., Xia, K., Yang, F., & Zu, B. (2018) · Mathematical Problems in Engineering · doi:10.1155/2018/9298017 · Cited by 7 · see citing works

Strip Surface Defects Recognition Based on PSO-RS&SOCP-SVM Algorithm

Cui, D., & Xia, K. (2017) · RePEc: Research Papers in Economics

Strip Steel Surface Defect Recognition Based on Novel Feature Extraction and Enhanced Least Squares Twin Support Vector Machine

Chu, M., Wang, A., Gong, R., & Sha, M. (2014) · ISIJ International · doi:10.2355/isijinternational.54.1638 · Cited by 26 · see citing works

Strip surface defect recognition algorithm based on PCA and improved BP neural network

Yang, Y., Deng, Y., Li, Q., Chen, P., & Zhang, X.-Y. (2010) · Pacific-Asia Conference on Circuits, Communications and Systems · doi:10.1109/paccs.2010.5626906 · Cited by 1 · see citing works

Classification algorithms of strip surface defects based on PCA-ELM

Miao, F., & Tian, Y. (2020) · Chinese Control Conference (CCC) · doi:10.23919/ccc50068.2020.9189339 · Cited by 3 · see citing works