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Zuo, L., Cao, S., Zhou, S., Li, Y., & Li, Y. (2022). Inversion of damage inducement of wharf pile foundation under heaped load based on parametric model. SN Applied Sciences, 4(3), 1-8.Search in Google Scholar
Lin, B. J., Li, X. R., & Yu, W. L. (2020). Binary neutron stars gravitational wave detection based on wavelet packet analysis and convolutional neural networks. Higher Education Press, 19(6), 2062-2065.Search in Google Scholar
Kuang, C. (2021). Research on network traffic anomaly detection method based on deep learning. Journal of Physics Conference Series, 1861(1), 012007.Search in Google Scholar
Jeon, J., Park, J. H., & Jeong, Y. S. (2020). Dynamic analysis for IoT malware detection with convolution neural network model. IEEE Access, PP(99), 1-1.Search in Google Scholar
Chen, J. (2022). Classification and model method of convolutional features in sketch images based on deep learning. International Journal of Pattern Recognition and Artificial Intelligence, 3(3), 143-148.Search in Google Scholar
Wang, Y., Yu, X., & Wu, C. (2021). Optic disc detection based on saliency detection and attention convolutional neural networks. IEICE Transactions on Fundamentals of Electronics, Communications & Computer Sciences, 6(9), E104-A.Search in Google Scholar
Bai, L. (2021). Intelligent body behavior feature extraction based on convolution neural network in patients with craniocerebral injury. Mathematical Biosciences and Engineering, 18(4), 3781-3789.Search in Google Scholar
Wang, Y., He, S., Wang, C., Ma, J., & Wang, L. (2021). Detection and parameter estimation of frequency hopping signal based on the deep neural network. International Journal of Electronics, 108(11), 2044-2054.Search in Google Scholar
Ning, L. I., Guo, Z., Lin, W. U., Li, Y., & Li, J. (2022). River-Net: A novel neural network model for extracting river channel based on refined-lee kernel. Journal of Radars, 11(3), 324-334.Search in Google Scholar
Wang, Y. (2022). Industrial fault detection based on discriminant enhanced stacking auto-encoder model. Electronics, 16(1s), 1-203.Search in Google Scholar
Sakthi, K. D. B., & Benadict Raja, J. (2021). An Effective Approach Based on Improved Convolutionary Neural Network Classifier for the Detection of Diabetic Retinopathy. Journal of Medical Imaging and Health Informatics, 9(12), 11.Search in Google Scholar
Zhao, W., & Lu, L. (2020). Research and development of autism diagnosis information system based on deep convolution neural network and facial expression data. Library Hi Tech, 21(4), 1084.Search in Google Scholar
Deb, S. D., Jha, R. K., Jha, K., et al. (2022). A multi model ensemble based deep convolution neural network structure for detection of COVID19. Biomedical Signal Processing and Control, 71(9), 103126.Search in Google Scholar
Zhou, X., Liang, W., Shimizu, S., et al. (2020). Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems. IEEE Transactions on Industrial Informatics, PP(99), 1-1.Search in Google Scholar
Wang, H., Cao, Z., & Hong, B. (2020). A network intrusion detection system based on convolutional neural network. Journal of intelligent & fuzzy systems: Applications in Engineering and Technology, 78(6), 38.Search in Google Scholar
Wu, X., Xu, H., Wei, X., et al. (2020). Damage Identification of Low Emissivity Coating Based on Convolution Neural Network. IEEE Access, PP(99), 1-1.Search in Google Scholar
Priyanga, P. S., Krithivasan, K., Pravinraj, S., et al. (2020). Detection of Cyberattacks in Industrial Control Systems Using Enhanced Principal Component Analysis and Hypergraph-Based Convolution Neural Network (EPCA-HG-CNN). IEEE Transactions on Industry Applications, 56(4), 4394-4404.Search in Google Scholar
Li, C. (2021). Research on Methods of English Text Detection and Recognition Based on Neural Network Detection Model. Scientific programming, 6(8), 8127-8148.Search in Google Scholar
Ren, R., Zhang, S., Sun, H., et al. (2021). Research on Pepper External Quality Detection Based on Transfer Learning Integrated with Convolutional Neural Network. Sensors, 21(16), 5305.Search in Google Scholar
Shen, M., Wang, Y., Jiaqi, M. A., et al. (2021). Pedestrian Detection Method Based on Deep Convolution Neural Network. Journal of Physics: Conference Series, 1971(1), 012081 (6pp).Search in Google Scholar
Wang, X., Yin, S., Li, H., et al. (2020). A Network Intrusion Detection Method Based on Deep Multi-scale Convolutional Neural Network. International Journal of Wireless Information Networks, 27(4), 503-517.Search in Google Scholar