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An Improved Self-adaptive Regularization Method for Mixed Multiplicative and Additive Noise Reduction.

Z. Wu, H. Gao, G. Ma, и L. Wu. CCPR (1), том 662 из Communications in Computer and Information Science, стр. 690-702. (2016)

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Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Nanfang Wu

Yongfang Wu

Jianguang Wu

Xueqing Wu

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An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images.N. Zhang, J. Liu, Y. Jin, W. Duan, Z. Wu, Z. Cai, и M. Wu. BMC Bioinform., 24 (1): 315 (декабря 2023)Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time.I. Kang, Z. Wu, Y. Jiang, Y. Yao, J. Deng, J. Klug, S. Vogt, и G. Barbastathis. CoRR, (2022)A New Image Sparse Reconstruction Method for Mixed Gaussian-Poisson Noise with Multiple Constraints.Z. Wu, H. Gao, Y. Chen, и H. Kang. CCCV (2), том 772 из Communications in Computer and Information Science, стр. 345-356. Springer, (2017)Robust X-ray Sparse-view Phase Tomography via Hierarchical Synthesis Convolutional Neural Networks.Z. Wu, A. Alorf, T. Yang, L. Li, и Y. Zhu. CoRR, (2019)CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution.Z. Wu, P. Liu, Z. Hu, и J. Wang. CoRR, (2020)CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution.Z. Wu, P. Liu, Z. Hu, B. Li, и J. Wang. ESSE, стр. 194-203. ACM, (2020)A Dual Adaptive Regularization Method to Remove Mixed Gaussian-Poisson Noise.Z. Wu, H. Gao, G. Ma, и Y. Wan. ACCV Workshops (1), том 10116 из Lecture Notes in Computer Science, стр. 206-221. Springer, (2016)Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements.Z. Wu, T. Bicer, Z. Liu, V. Andrade, Y. Zhu, и I. Foster. MLHPC/AI4S@SC, стр. 88-95. IEEE, (2020)AMD-DBSCAN: An Adaptive Multi-density DBSCAN for datasets of extremely variable density.Z. Wang, Z. Ye, Y. Du, Y. Mao, Y. Liu, Z. Wu, и J. Wang. DSAA, стр. 1-10. IEEE, (2022)An Improved Self-adaptive Regularization Method for Mixed Multiplicative and Additive Noise Reduction.Z. Wu, H. Gao, G. Ma, и L. Wu. CCPR (1), том 662 из Communications in Computer and Information Science, стр. 690-702. (2016)

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