Using the Fuzzy Integrals for the Ensemble-Based Classification Problem PCB Defects

Author:

Rychenkov ArtemORCID,Tsyganov GlebORCID,Sinitca AleksandrORCID,Kaplun DmitriiORCID

Publisher

Springer Nature Switzerland

Reference14 articles.

1. Cyganov, G., Rychenkov, A., Sinitca, A., Kaplun, D.: Using the fuzzy integrals for the ensemble-based segmentation of asphalt cracks. Indust. Artif. Intell. 1(1), 5 (2023)

2. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)

3. Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)

4. Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Adv. Neural Inf. Process. Syst. 25 (2012)

5. Kundu, R., Basak, H., Koilada, A., Chattopadhyay, S., Chakraborty, S., Das, N.: Ensemble of CNN classifiers using sugeno fuzzy integral technique for cervical cytology image classification. arXiv preprint arXiv:2108.09460 (2021)

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