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Chen, S. C., Li, D. G., Jin, C. (2022). Efficient least-squares inverse-time offset for imaging domains. Journal of Geophysics, 65(08), 3098-3107.Search in Google Scholar
Huang, Q., Xue, H., et al. (2022). A spectral selection method based on ant colony-genetic algorithm and its application. Spectroscopy and Spectral Analysis, 42(07), 2262-2268.Search in Google Scholar
Jia, C., Shi, F., et al. (2022). A review of light field imaging techniques for computer vision tasks (in English). Frontiers of Information Technology & Electronic Engineering, 23(07), 1077-1098.Search in Google Scholar
Yang J., Qiu J., Jiang F., et al. (2022). Application and prospect of terahertz technology on painting artifacts. Journal of Infrared and Millimeter Waves, 41(01), 218-229.Search in Google Scholar
Xu, Z., Li, Do., Shen, L. (2021). Characterization of diffuse reflectance spectra and absorption spectra of organic and inorganic Chinese painting pigments. Spectroscopy and Spectral Analysis, 41(12), 3915-3921.Search in Google Scholar
Li, M., Ni, L., Wang, M., et al. (2021). Research progress on the evaluation of handprint nano-appearance effect. Spectroscopy and Spectral Analysis, 41(09), 2670-2680.Search in Google Scholar
Yuan, T., Ji, H., Yu, Y., et al. (2022). Modulation of the gaze cue effect by social information of faces and its neural mechanism. Advances in Biochemistry and Biophysics, 49(06), 986-1003. https://doi.org/10.16476/j.pibb.2021.0160.Search in Google Scholar
Li, H., Yu, Y., Pang, Y. et al. (2021). Research on the extraction method of characteristic wavelengths for qualitative analysis of near- infrared spectra based on genetic algorithm. Spectroscopy and Spectral Analysis, 41(08), 2437-2442.Search in Google Scholar
Wang, X., Li, J., Peng, G., et al. (2021). Dynamic chaotic perturbation genetic algorithm for vibrationally ambiguous hyperspectral image recovery. Spectroscopy and Spectral Analysis, 41(07), 2219-2225.Search in Google Scholar
Saeid, N., Cosmin, A., Timon, R. (2021). Optimization of neural network hyperparameters using genetic algorithm (in English). Journal of Zhejiang University-Science A(Applied Physics & Engineering), 22(06), 407-426.Search in Google Scholar
Zhang, J., Hu, J., et al. (2021). An artificial neural network-based method for rebound modulus prediction of roadbed soils (in English). Journal of Central South University, 28(03), 898-910.Search in Google Scholar
Xu, Z., Ni, W., Ji, Y. (2021). Rotational forest based on multi-peaked genetic algorithm (in English), 28(06), 1747-1764.Search in Google Scholar
Khalid, E., Shen, S., Zhou, A. et al. (2021). Genetic algorithm combined with grouped data processing neural network for artificial intelligence prediction of hob life during shield tunneling. Engineering, 7(02), 230-258.Search in Google Scholar
Zhao, H., Zhao, X., Han, F. et al. (2021). A cobalt crust identification method based on nuclear Fisher discriminant analysis and genetic algorithm in reverberant environment (in English). Journal of Central South University, 28(01), 179-193.Search in Google Scholar
Yu, Y., Ji, H., et al. (2020). Effects of eye gaze cues on object cognitive processing and its mechanisms. Advances in Biochemistry and Biophysics, 47(11), 1145-1161.Search in Google Scholar
Feng, S., Cao, Y., Xu, T. (2020). Hyperspectral and NSGA2-ELM algorithms for inversion of nitrogen content in japonica rice leaves. Spectroscopy and Spectral Analysis, 40(08), 2584-2591.Search in Google Scholar
Du, Y., Meng, X., Zhu, L. (2020). Genetic algorithm and neural network for overlapping spectral resolution. Spectroscopy and Spectral Analysis, 40(07), 2066-2072.Search in Google Scholar
Liu, C., Tang, X., Yu, T., et al. (2020). Quantum genetic-neural network algorithm for visible near-infrared spectroscopy of lubricant power viscosity values. Spectroscopy and Spectral Analysis, 40(05), 1634-1639.Search in Google Scholar
Chen, D., Director, D., Long, S. (2020). Research progress of spectroscopic techniques in gluing materials for painting of cultural relics. Spectroscopy and Spectral Analysis, 40(03), 961-966.Search in Google Scholar
Xie, H., Chen, Z. (2019). Application of genetic simulated annealing algorithm in the detection of cellulose content of corn stover. Analytical Chemistry, 47(12), 1987-1994. https://doi.org/10.19756/j.issn.0253-3820.191131.Search in Google Scholar
Lingyun, S., Pei, C., et al. (2019). Smart Paint: a collaborative human-computer painting system based on generative adversarial neural networks (in English).Frontiers of Information Technology & Electronic Engineering, 20(12), 1644-1657.Search in Google Scholar
Mu, Y., Qiu, B., Wei. S. Y., et al. (2019). Photometric redshift regression prediction based on particle swarm optimization algorithm. Spectroscopy and Spectral Analysis, 39(09), 2693-2697.Search in Google Scholar
Liu, W., Zhang, R., Kang, Y., et al. (2019). Preparation of high fluorescence quantum yield carbon dots and their use for sensitive detection of Cu~(2+), fluorescence painting and cell imaging (in English). Novel Carbon Materials, 34(04), 390-402.Search in Google Scholar
Fang, C., Tao, Y., Wang, J., et al. (2021). Mapping Relation of Leakage Currents of Polluted Insulators and Discharge Arc Area. frontiers in Energy Research. https://doi.org/10.3389/fenrg.2021.777230.Search in Google Scholar
Kong, L. J., Zeng, X., Zhang, L. H., et al. (2019). Study on spectral reflectance reconstruction under multiple light sources selected based on genetic algorithm. Spectroscopy and Spectral Analysis, 39(04), 1162-1168.Search in Google Scholar
Wang, D. W., Han, P. F., Fan, J. L., et al. (2018). A multispectral image enhancement algorithm based on light-reflection imaging model and morphological operations. Journal of Physics, 67(21), 104-114.Search in Google Scholar
Fan, X D., Qiu, B., Liu, Y. Y., et al. (2018). A genetic optimization-based BP neural network algorithm for photometric redshift estimation. Spectroscopy and Spectral Analysis, 38(08), 2374-2378.Search in Google Scholar
Mei, Y., Tan, G. (2018). Effective data classification based on improved brain emotion learning algorithm (in English). Journal of Central South University, 25(05), 1084-1098.Search in Google Scholar
Hrong, Q. (2017). Perceptual features of autism-perceiving local details first. Advances in Biochemistry and Biophysics, 44(11), 1044. https://doi.org/10.16476/j.pibb.2017.0398.Search in Google Scholar
Liu, X. L., Fu, B. R., Xu, L.W., et al. (2016). Study on infrared thermography-assisted automatic assessment method of facial nerve function. Spectroscopy and Spectral Analysis, 36(05), 1445-1450.Search in Google Scholar
Qi-rong, M., Xin-yu, P., et al. (2015). Real-time facial emotion recognition based on Kinect (in English). Frontiers of Information Technology & Electronic Engineering, 16(04), 272-283.Search in Google Scholar
Fang, C., Tao, Y., et al. (2021). Research on Leakage Current Waveform Spectrum Characteristics of Artificial Pollution Porcelain Insulator. Frontiers in Energy Research. https://doi.org/10.3389/fenrg.2021.798048.Search in Google Scholar
Xiao, Q., Ding, X., Wang, S., et al. (2010). Effective image pepper noise filtering method for maintaining detail features. Journal of Electronics, 38(10), 2273-2278.Search in Google Scholar
Li, X. F., Zhao, H., Ge, X., Cheng, X. Y. (2010). Edge feature volume in facial expression tracking depiction. Journal of Electronics, 38(05), 1167-1171.Search in Google Scholar
Tan, Q. (2010). Painting poetry and rewriting:A perspective on the de-romanticization of Keats' ancient Greek urn in American modernist poetry (in English). Foreign Literature Studies, 32(02), 26-39. https://doi.org/10.19915/j.cnki.fls.2010.02.004.Search in Google Scholar
Yang, G. L., Wang, Z. L., et al. (2007). Improved MMI-based HMM training algorithm and its application in facial expression recognition. Journal of University of Science and Technology Beijing, 04, 432-437. https://doi.org/10.13374/j.issn1001-053x.2007.04.014.Search in Google Scholar