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Segmentation-Guided Semantic-Aware Self-Supervised Denoising for SAR Image.

, , , , и . IEEE Trans. Geosci. Remote. Sens., (2023)

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Yanxia Zhang

Jinglan Wu

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

Jinjin Wu

Yinghua Wu

Changzhu Wu

 

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A Review of Network Learning Space., и . CIPAE, стр. 425-428. ACM, (2020)Control Flow Checking Algorithm using Soft-based Intra-/Inter-block Assigned-Signature., , , и . IMSCCS, стр. 412-415. IEEE Computer Society, (2007)An Improved FPGAs-Based Loop Pipeline Scheduling Algorithm for Reconfigurable Compiler., , , и . APPT, том 8299 из Lecture Notes in Computer Science, стр. 307-318. Springer, (2013)RoI Uncertainty for RGB-Thermal Image Segmentation., , , и . MLMI, стр. 132-139. ACM, (2022)SGDAT: An optimization method for binary neural networks., , , и . Neurocomputing, (октября 2023)ANED-Net: Adaptive Noise Estimation and Despeckling Network for SAR Image., , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)A Dynamic and Parallel Two-Stage Lossless Data Compression Method for Smart Grid., , , , , и . IEEE Access, (2023)A lightweight bus passenger detection model based on YOLOv5., , , , и . IET Image Process., 17 (14): 3927-3937 (2023)Self-Calibrated Convolutional Neural Network for SAR Image Despeckling., , , и . IGARSS, стр. 399-402. IEEE, (2021)A Practical Solution for SAR Despeckling With Adversarial Learning Generated Speckled-to-Speckled Images., , , и . IEEE Geosci. Remote. Sens. Lett., (2022)