Design of Neural Network-based Intelligent Extraction Method for Key Electronic Information

[1] A, T. K. J. G., A, L. R. K., B, E. B., B, M. D. G., A, D. E. G., & A, M. L. B., et al. (2020). Data mining information from electronic health records produced high yield and accuracy for current smoking status. Journal of Clinical Epidemiology, 118, 100-106. Search in Google Scholar

[2] Hyunyoung, B., Minsu, C., Seok, K., Hee, H., Minseok, S., & Sooyoung, Y., et al. (2018). Analysis of length of hospital stay using electronic health records: a statistical and data mining approach. Plos One, 13(4), e0195901. Search in Google Scholar

[3] Atkinson-Abutridy, J., Mellish, C., & Aitken, S. (2017). Combining information extraction with genetic algorithms for text mining. IEEE Intelligent Systems, 19(3), 22-30. Search in Google Scholar

[4] Attallah, B., Serir, A., Chahir, Y., & Boudjelal, A. (2017). Histogram of gradient and binarized statistical image features of wavelet subband-based palmprint features extraction. Journal of electronic imaging, 26(6), 063006.1-063006.9. Search in Google Scholar

[5] Pan, Y., Wang, S., Cui, Y., & Zhang, Y. (2022). Embedded u-net: combines multiple feature fusion encode and subpixel reconstruction for microcracks salient object detection. Journal of electronic imaging(2), 31. Search in Google Scholar

[6] Wei, Y. K., & Jin, C. (2019). Locality sensitive discriminant projection for feature extraction and face recognition. Journal of Electronic Imaging, 28(4), 1-. Search in Google Scholar

[7] Cao, J., Ding, Y., & Li, X. (2020). Person reidentification based on view information and batch feature erasing. Journal of Electronic Imaging, 29(4), 1. Search in Google Scholar

[8] Chai, X., Song, S., Tan, Y., Lei, Y., Huang, Z., & Lu, Y., et al. (2022). Three-stage image forgery localization with shallow feature enhancement and attention. Journal of Electronic Imaging, 31(6), -. Search in Google Scholar

[9] Zhao, X., He, Y., Liu, Z., Zhang, W., & Tong, L. (2020). Method for extracting raman spectra characteristic variables of biological sample based on hilbert–huang transform. Journal of Raman Spectroscopy, 51. Search in Google Scholar

[10] Xu, Y., Li, Y., Wu, H., & Wen, H. (2021). In-field cotton detection algorithm based on the dual-path feature extraction. Journal of Electronic Imaging, 30. Search in Google Scholar

[11] Wang, H., Jiang, M., & Kong, J. (2021). Global-locally reinforced feature extraction for person re-identification. Journal of electronic imaging(2), 30. Search in Google Scholar

[12] Yi-xiang, HUANG, Xiao, LIU, Cheng-liang, & LIU, et al. (2018). Intrinsic feature extraction using discriminant diffusion mapping analysis for automated tool wear evaluation. Frontiers of Information Technology & Electronic Engineering. Search in Google Scholar

[13] Kang, M., Ji, K., Leng, X., Xing, X., & Zou, H. (2017). Synthetic aperture radar target recognition with feature fusion based on a stacked autoencoder. Sensors. Search in Google Scholar

[14] Fei, G., Fei, M. A., Xiling, L., Jun, W., & Jinping, S. (2017). Hierarchical feature-based detection method for sar targets under complex environment. Chinese Journal of Electronics, 26(03), 647-653. Search in Google Scholar

[15] XU HEYU DENGSHIZHE ZHOURUI LIYAO WANGYANG GUO. (2020). Lithography hotspot detection with fft-based feature extraction and imbalanced learning rate. ACM Transactions on Design Automation of Electronic Systems, 25(2). Search in Google Scholar

[16] Gao, H., Yao, D., Yang, Y., Li, C., & Hua, Z. (2020). Multiscale 3-d-cnn based on spatial–spectral joint feature extraction for hyperspectral remote sensing images classification. Journal of Electronic Imaging, 29(1), 1. Search in Google Scholar

[17] Yu, L. H., Liu, P., Jiang, L., & Zhao, Z. Y. (2021). Tensor dispersion-based multi-view feature embedding for dimension reduction. Journal of Electronic Imaging, 30(3), 033019-. Search in Google Scholar

[18] Wang, K., & Liu, M. (2020). A feature, ptimized faster regional convolutional neural network for complex background objects detection. IET Image Processing. Search in Google Scholar

[19] Liu, L., Chen, H., & Chen, S. (2022). Quality analysis of cmt lap welding based on welding electronic parameters and welding sound. Journal of manufacturing processes(Feb.), 74. Search in Google Scholar

[20] Jiang, Z. G., & Shi, X. T. (2021). Application research of key frames extraction technology combined with optimized faster r-cnn algorithm in traffic video analysis. Complexity, 2021. Search in Google Scholar

[21] Fritz, B. A., Chen, Y., Murray-Torres, T. M., Gregory, S., Ben Abdallah, A., & Kronzer, A., et al. (2018). Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study. Bmj Open, 8(4), e020124. Search in Google Scholar

[22] Lazzarini, N., & Bacardit, J. (2017). Rgife: a ranked guided iterative feature elimination heuristic for the identification of biomarkers. BMC Bioinformatics, 18(1). Search in Google Scholar

[23] Li, G., Wen, L., Huang, Z., Xia, R., & Pang, Y. (2022). Data augmentation and shadow image classification for shadow detection. IET Image Processing, 16(3). Search in Google Scholar