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pro vyhledávání: '"Deng Ye"'
Cloud cover can significantly hinder the use of remote sensing images for Earth observation, prompting urgent advancements in cloud removal technology. Recently, deep learning strategies have shown strong potential in restoring cloud-obscured areas.
Externí odkaz:
http://arxiv.org/abs/2411.13042
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 37, Iss 04, Pp 490-495 (2020)
5G is on the way. This state-of-the-art communication technology has many advantages and potentials to solve an abundance of problems and make our lives easier, more comfortable and convenient. 5G communication also makes it possible to change the st
Externí odkaz:
https://doaj.org/article/961d9a6736a24a0c9ebcec9681ff778d
Publikováno v:
Leida xuebao, Vol 8, Iss 2, Pp 251-261 (2019)
In this paper, the development requirements and challenges of phased array radar design are discussed. A new architecture of phased array radar based on microwave photonic technology is proposed, and its technical advantages are explained. Aiming for
Externí odkaz:
https://doaj.org/article/52ba23547d1644a98870c3e50d340ebb
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 45, Iss 10, Pp 758-761 (2018)
Objective To investigate the best position fixed method of lung cancer in image-guided radiotherapy (IGRT). Methods From January 2016 to June 2017, 90 patients with lung cancer treated in our hospital were randomly selected to observe the setup error
Externí odkaz:
https://doaj.org/article/0d70d403d5c0453588eff34fa3a7bf43
Forecasting the trend of stock prices is an enduring topic at the intersection of finance and computer science. Periodical updates to forecasters have proven effective in handling concept drifts arising from non-stationary markets. However, the exist
Externí odkaz:
http://arxiv.org/abs/2401.03865
Despite the success of two-stage few-shot classification methods, in the episodic meta-training stage, the model suffers severe overfitting. We hypothesize that it is caused by over-discrimination, i.e., the model learns to over-rely on the superfici
Externí odkaz:
http://arxiv.org/abs/2306.16873
Publikováno v:
ACM Multimedia 2022
Benefiting from powerful convolutional neural networks (CNNs), learning-based image inpainting methods have made significant breakthroughs over the years. However, some nature of CNNs (e.g. local prior, spatially shared parameters) limit the performa
Externí odkaz:
http://arxiv.org/abs/2305.07239
Autor:
Wei, Zi-Yan, Feng, Min, Zhang, Ding-Xi, Jiang, Cheng-Ying, Deng, Ye, Wang, Zhu-Jun, Feng, Kai, Song, Yang, Zhou, Nan, Wang, Yu-Lin, Liu, Shuang-Jiang
Publikováno v:
In Environmental Research 15 December 2024 263 Part 1
Publikováno v:
In Knowledge-Based Systems 3 December 2024 305
Publikováno v:
In Applied Soft Computing December 2024 167 Part C