Zobrazeno 1 - 10
of 314
pro vyhledávání: '"You, Tong"'
Autor:
Colombo, Alessandro, Sauppe, Mario, Haddad, Andre Al, Ayyer, Kartik, Babayan, Morsal, Dagar, Ritika, Fennel, Thomas, Hecht, Linos, Knopp, Gregor, Kolatzki, Katharina, Langbehn, Bruno, Maia, Filipe, Mall, Abhishek, Mazumder, Parichita, Polat, Caner, Schäfer-Zimmermann, Julian C., Schnorr, Kirsten, Schubert, Marie Louise, Sehati, Arezu, Sellberg, Jonas A., Shen, Zhou, Sun, Zhibin, Svensson, Pamela, Tümmler, Paul, Ussling, Carl Frederic, Veteläinen, Onni, Wächter, Simon, Walsh, Noelle, Weitnauer, Alex V., You, Tong, Zuod, Maha, Bostedt, Christoph, Patanen, Minna, Rupp, Daniela
Coherent Diffraction Imaging (CDI) is an experimental technique to get images of isolated structures by recording the light scattered off the sample. Thanks to the extremely bright and short coherent light pulses provided by X-ray Free Electron Laser
Externí odkaz:
http://arxiv.org/abs/2409.07413
Autor:
Ding, Jin, Zhao, Jie-Chao, Sun, Yong-Zhi, Tan, Ping, Wang, Jia-Wei, Ma, Ji-En, Fang, You-Tong
Deep convolutional neural networks (DCNN for short) are vulnerable to examples with small perturbations. Improving DCNN's robustness is of great significance to the safety-critical applications, such as autonomous driving and industry automation. Ins
Externí odkaz:
http://arxiv.org/abs/2402.16479
Autor:
Konold, Patrick E., You, Tong, Bielecki, Johan, Valerio, Joana, Kloos, Marco, Westphal, Daniel, Bellisario, Alfredo, Varma, Tej, Wolter, August, Koliyadu, Jayanath C. P., Koua, Faisal H. M., Letrun, Romain, Round, Adam, Sato, Tokushi, Mésźaros, Petra, Monrroy, Leonardo, Mutisya, Jennifer, Bódizs, Szabolcs, Larkiala, Taru, Nimmrich, Amke, Alvarez, Roberto, Bean, Richard, Ekeberg, Tomas, Kirian, Richard A., Westenhoff, Sebastian, Maia, Filipe R. N. C.
Publikováno v:
IUCrJ 10, 662-670 (2023)
X-ray Free Electron Lasers (XFELs) can probe chemical and biological reactions as they unfold with unprecedented spatial and temporal resolution. A principal challenge in this pursuit is the delivery of samples to the X-ray interaction point in a way
Externí odkaz:
http://arxiv.org/abs/2306.07626
Deep convolutional neural network (DCNN for short) models are vulnerable to examples with small perturbations. Adversarial training (AT for short) is a widely used approach to enhance the robustness of DCNN models by data augmentation. In AT, the DCN
Externí odkaz:
http://arxiv.org/abs/2303.06425
Autor:
Zhou, Mei, Tan, Ye, Chen, Rong, Zhu, You-Tong, Cui, Sheng-Ci, Wang, Qi, Yu, Lin-Ping, Li, Chuan-Chang, Zeng, Ju-Lan
Publikováno v:
In Journal of Energy Storage 20 June 2024 90 Part B
Autor:
Hu, Ping, Tan, Ye, Zhu, You-Tong, Chen, Rong, Cui, Sheng-Ci, Wang, Qi, Yu, Lin-Ping, Li, Chuan-Chang, Zeng, Ju-Lan
Publikováno v:
In Journal of Energy Storage 30 April 2024 85
Autor:
Hu, Zhou-Xiang, Zou, Bin, Yang, Guo, Wei, You-Tong, Yang, Cheng, Yang, Yuping, Feng, Shuai, Li, Chuan-Bo, Zhang, Gu-Ling
Publikováno v:
In Physica B: Condensed Matter 15 January 2024 673
Akademický článek
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Publikováno v:
Clinical and Translational Medicine, Vol 13, Iss 10, Pp n/a-n/a (2023)
Abstract Background The tumour microenvironment (TME) is a specialised niche involving intercellular communication among cancer cells and various host cells. Among the host cells, the quantity and quality of immune cells within the TME play essential
Externí odkaz:
https://doaj.org/article/e257c61d58b444f9a0a555b550819d20
Akademický článek
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