Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Xinkai Sun"'
Autor:
Zhongyu Yang, Zirui Yu, Xiaoyun Wang, Wugeng Yan, Shijie Sun, Meichen Feng, Jingjing Sun, Pengyan Su, Xinkai Sun, Zhigang Wang, Chenbo Yang, Chao Wang, Yu Zhao, Lujie Xiao, Xiaoyan Song, Meijun Zhang, Wude Yang
Publikováno v:
Agronomy, Vol 14, Iss 4, p 701 (2024)
Aboveground biomass (AGB) is a key parameter reflecting crop growth which plays a vital role in agricultural management and ecosystem assessment. Real-time and non-destructive biomass monitoring is essential for accurate field management and crop yie
Externí odkaz:
https://doaj.org/article/609f07d13fba42bc92aecee770c38594
Prediction Consistency Regularization for Learning with Noise Labels Based on Contrastive Clustering
Publikováno v:
Entropy, Vol 26, Iss 4, p 308 (2024)
In the classification task, label noise has a significant impact on models’ performance, primarily manifested in the disruption of prediction consistency, thereby reducing the classification accuracy. This work introduces a novel prediction consist
Externí odkaz:
https://doaj.org/article/06175018fc6c4d9eb682ffeff72a25ed
Autor:
Xinkai Sun, Zhongyu Yang, Pengyan Su, Kunxi Wei, Zhigang Wang, Chenbo Yang, Chao Wang, Mingxing Qin, Lujie Xiao, Wude Yang, Meijun Zhang, Xiaoyan Song, Meichen Feng
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Leaf area index (LAI) is an essential indicator for crop growth monitoring and yield prediction. Real-time, non-destructive, and accurate monitoring of crop LAI is of great significance for intelligent decision-making on crop fertilization, irrigatio
Externí odkaz:
https://doaj.org/article/6a4e5759c0f74251bd8e9f9484bd4711
Autor:
Pengyan Su, Hao Li, Xiaoyun Wang, Qianyu Wang, Bokun Hao, Meichen Feng, Xinkai Sun, Zhongyu Yang, Binghan Jing, Chao Wang, Mingxing Qin, Xiaoyan Song, Lujie Xiao, Jingjing Sun, Meijun Zhang, Wude Yang
Publikováno v:
Plants, Vol 12, Iss 21, p 3765 (2023)
The kidney bean is an important cash crop whose growth and yield are severely affected by brown spot disease. Traditional target detection models cannot effectively screen out key features, resulting in model overfitting and weak generalization abili
Externí odkaz:
https://doaj.org/article/36818131825f4a8795eb3d2c4b4134d0
Autor:
Taewon Jin, Sanghyeon Kim, Jae-Hoon Han, Dae-Hwan Ahn, Seong Ui An, Tae Hyeon Noh, Xinkai Sun, Cheol Jun Kim, Juhyuk Park, Younghyun Kim
Publikováno v:
Nanoscale Advances. 5:1316-1322
We demonstrate the programmable light intensity of a micro-LED by compensating threshold voltage variability of thin-film transistors by introducing a non-volatile programmable ferroelectric material, HfZrO2 into the gate stack of the TFT.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a49d63f86d32acd61b0fd062512aa66
https://doi.org/10.1039/d2na00713d
https://doi.org/10.1039/d2na00713d
Autor:
Dongyu Yang, Wenjin Lv, Junhao Zhang, Hao Chen, Xinkai Sun, Shenzhen Lv, Xinzhe Dai, Ruichun Luo, Wu Zhou, Jisi Qiu, Yishi Shi
Publikováno v:
Optics Express. 31:14159
Low-dose imaging techniques have many important applications in diverse fields, from biological engineering to materials science. Samples can be protected from phototoxicity or radiation-induced damage using low-dose illumination. However, imaging un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42b1e922e9f531e4c770dd2103b5d4e8
https://doi.org/10.1364/oe.482856
https://doi.org/10.1364/oe.482856
Publikováno v:
Journal of Alloys and Compounds. 779:270-279
To obtain high efficient and lightweight microwave (MW) absorption material, a novel composite RGO/PANI/BaNd0.2Sm0.2Fe11.6O19 (BNSF) was successfully synthesized. The RGO/PANI composite was synthesized by an in-situ polymerization, the BNSF was obtai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::541c045e228b368e3d2c1d0e486e89f7
https://doi.org/10.1016/j.jallcom.2018.11.284
https://doi.org/10.1016/j.jallcom.2018.11.284
Publikováno v:
Applied Optics. 61:5567
In this paper, a modified probabilistic deep learning method is proposed to attack the double random phase encryption by modeling the conditional distribution of plaintext. The well-trained probabilistic model gives both predictions of plaintext and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::204ad2fd487a65c08d63d5741645378e
https://doi.org/10.1364/ao.457681
https://doi.org/10.1364/ao.457681
Publikováno v:
Chemical Engineering Journal. 380:122625
With the aim to obtain microwave (MW) absorber possess simultaneously light weight and broad absorption bandwidth, a newfangled composites of ZnO/MoS2, in which MoS2 spheres decorated on hollow porous ZnO microspheres, have been successfully prepared
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b47cb84f8f990f136c70b45a2fc1fdd8
https://doi.org/10.1016/j.cej.2019.122625
https://doi.org/10.1016/j.cej.2019.122625
Autor:
Xinkai Sun
Publikováno v:
Film Score Monthly (FSM Online); Nov2018, Vol. 23 Issue 11, p8-8, 1p