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Fast, Robust, and Accurate Image Denoising via Very Deeply Cascaded Residual Networks.

, , , , and . MMSP, page 1-6. IEEE, (2018)

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Reducing the Carbon Emissions of the Decentralized Joint Distribution Alliance by Order Allocation: A 2-Stage Approach Based on Routing Optimization and Worst-Case Estimation., , , and . IEEE Access, (2024)COVID-19 Forecasting Based on Local Mean Decomposition and Temporal Convolutional Network., , , and . PRICAI (1), volume 13629 of Lecture Notes in Computer Science, page 175-187. Springer, (2022)A prediction-based cycle life test optimization method for cross-formula batteries using instance transfer and variable-length-input deep learning model., , , , , , , , and . Neural Comput. Appl., 35 (4): 2947-2971 (February 2023)A realistic network traffic forecasting method based on VMD and LSTM network., , , , , and . ISCAS, page 1-5. IEEE, (2023)DG-GLNet: A Graph Convolutional Network for prediction of time sequence with topological structure., , , , and . IEEE Big Data, page 5761-5769. IEEE, (2023)Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting., , , , and . NCAA (1), volume 1869 of Communications in Computer and Information Science, page 175-190. Springer, (2023)A Long Short-term Memory Model for COVID-19 Forecasting Using High-efficiency Feature Representation., , , , , and . NCAA (2), volume 1870 of Communications in Computer and Information Science, page 359-374. Springer, (2023)A survey of efficient fine-tuning methods for Vision-Language Models - Prompt and Adapter., , , , , , and . Comput. Graph., (2024)Fast, Robust, and Accurate Image Denoising via Very Deeply Cascaded Residual Networks., , , , and . MMSP, page 1-6. IEEE, (2018)Fast and Accurate Image Denoising via a Deep Convolutional-Pairs Network., , , , , , and . PCM (1), volume 9916 of Lecture Notes in Computer Science, page 191-200. Springer, (2016)