Zobrazeno 1 - 10
of 838
pro vyhledávání: '"LI Wenxuan"'
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 237, Iss 6, Pp 991-993 (2022)
C18H15BrN4O, monoclinic, P21/c (no. 14), a = 10.5097(7) Å, b = 6.6990(5) Å, c = 23.5623(15) Å, β = 92.038(6)°, V = 1657.8(2) Å3, Z = 4, R gt(F) = 0.0393, wR ref(F 2) = 0.0863, T = 150.00(10) K.
Externí odkaz:
https://doaj.org/article/b90b53151fbb4594abc2012eae4c0f5c
Publikováno v:
Sichuan jingshen weisheng, Vol 35, Iss 3, Pp 272-276 (2022)
ObjectiveTo explore the psychological defense styles and family environment among male prisoners of different terms of imprisonment, and to analyse the relationship between their psychological defense styles and family environment.MethodsA total of
Externí odkaz:
https://doaj.org/article/0c89d472d43d4890b8c8e8b10c52abc3
Publikováno v:
Sichuan jingshen weisheng, Vol 34, Iss 5, Pp 475-479 (2021)
ObjectiveTo discuss the family environment characteristics of senior high school students with psychological problems, and to provide references for realizing management of senior high school students' mental health.MethodsA total of 1 917 senior h
Externí odkaz:
https://doaj.org/article/441cadd53f884e22920d5d5d6c66836a
In the realm of autonomous driving,accurately detecting occluded or distant objects,referred to as weak positive sample ,presents significant challenges. These challenges predominantly arise during query initialization, where an over-reliance on heat
Externí odkaz:
http://arxiv.org/abs/2408.07999
Autor:
Li, Wenxuan, Qu, Chongyu, Chen, Xiaoxi, Bassi, Pedro R. A. S., Shi, Yijia, Lai, Yuxiang, Yu, Qian, Xue, Huimin, Chen, Yixiong, Lin, Xiaorui, Tang, Yutong, Cao, Yining, Han, Haoqi, Zhang, Zheyuan, Liu, Jiawei, Zhang, Tiezheng, Ma, Yujiu, Wang, Jincheng, Zhang, Guang, Yuille, Alan, Zhou, Zongwei
We introduce the largest abdominal CT dataset (termed AbdomenAtlas) of 20,460 three-dimensional CT volumes sourced from 112 hospitals across diverse populations, geographies, and facilities. AbdomenAtlas provides 673K high-quality masks of anatomical
Externí odkaz:
http://arxiv.org/abs/2407.16697
Autor:
Guo Yujie, Li Fuqiang, Tian Xueqin, Zhang Jing, Degejirifu, Li Wenxuan, Wang Xinlei, Ji Jie, Xu Tong, Zhao Wei
Publikováno v:
E3S Web of Conferences, Vol 360, p 01046 (2022)
Renewable energy has typical intermittent characteristics, strong random fluctuation of output, and insufficient support capacity at peak load. Therefore, the power supply guarantee of high proportion of renewable energy power system is facing severe
Externí odkaz:
https://doaj.org/article/df450f25d2af47f592f07e6652519c71
Autor:
Xiao, Junfei, Zhou, Ziqi, Li, Wenxuan, Lan, Shiyi, Mei, Jieru, Yu, Zhiding, Yuille, Alan, Zhou, Yuyin, Xie, Cihang
This paper introduces ProLab, a novel approach using property-level label space for creating strong interpretable segmentation models. Instead of relying solely on category-specific annotations, ProLab uses descriptive properties grounded in common s
Externí odkaz:
http://arxiv.org/abs/2312.13764
To protect the intellectual property of well-trained deep neural networks (DNNs), black-box watermarks, which are embedded into the prediction behavior of DNN models on a set of specially-crafted samples and extracted from suspect models using only A
Externí odkaz:
http://arxiv.org/abs/2309.03466
Autor:
Li, Jianning, Zhou, Zongwei, Yang, Jiancheng, Pepe, Antonio, Gsaxner, Christina, Luijten, Gijs, Qu, Chongyu, Zhang, Tiezheng, Chen, Xiaoxi, Li, Wenxuan, Wodzinski, Marek, Friedrich, Paul, Xie, Kangxian, Jin, Yuan, Ambigapathy, Narmada, Nasca, Enrico, Solak, Naida, Melito, Gian Marco, Vu, Viet Duc, Memon, Afaque R., Schlachta, Christopher, De Ribaupierre, Sandrine, Patel, Rajnikant, Eagleson, Roy, Chen, Xiaojun, Mächler, Heinrich, Kirschke, Jan Stefan, de la Rosa, Ezequiel, Christ, Patrick Ferdinand, Li, Hongwei Bran, Ellis, David G., Aizenberg, Michele R., Gatidis, Sergios, Küstner, Thomas, Shusharina, Nadya, Heller, Nicholas, Andrearczyk, Vincent, Depeursinge, Adrien, Hatt, Mathieu, Sekuboyina, Anjany, Löffler, Maximilian, Liebl, Hans, Dorent, Reuben, Vercauteren, Tom, Shapey, Jonathan, Kujawa, Aaron, Cornelissen, Stefan, Langenhuizen, Patrick, Ben-Hamadou, Achraf, Rekik, Ahmed, Pujades, Sergi, Boyer, Edmond, Bolelli, Federico, Grana, Costantino, Lumetti, Luca, Salehi, Hamidreza, Ma, Jun, Zhang, Yao, Gharleghi, Ramtin, Beier, Susann, Sowmya, Arcot, Garza-Villarreal, Eduardo A., Balducci, Thania, Angeles-Valdez, Diego, Souza, Roberto, Rittner, Leticia, Frayne, Richard, Ji, Yuanfeng, Ferrari, Vincenzo, Chatterjee, Soumick, Dubost, Florian, Schreiber, Stefanie, Mattern, Hendrik, Speck, Oliver, Haehn, Daniel, John, Christoph, Nürnberger, Andreas, Pedrosa, João, Ferreira, Carlos, Aresta, Guilherme, Cunha, António, Campilho, Aurélio, Suter, Yannick, Garcia, Jose, Lalande, Alain, Vandenbossche, Vicky, Van Oevelen, Aline, Duquesne, Kate, Mekhzoum, Hamza, Vandemeulebroucke, Jef, Audenaert, Emmanuel, Krebs, Claudia, van Leeuwen, Timo, Vereecke, Evie, Heidemeyer, Hauke, Röhrig, Rainer, Hölzle, Frank, Badeli, Vahid, Krieger, Kathrin, Gunzer, Matthias, Chen, Jianxu, van Meegdenburg, Timo, Dada, Amin, Balzer, Miriam, Fragemann, Jana, Jonske, Frederic, Rempe, Moritz, Malorodov, Stanislav, Bahnsen, Fin H., Seibold, Constantin, Jaus, Alexander, Marinov, Zdravko, Jaeger, Paul F., Stiefelhagen, Rainer, Santos, Ana Sofia, Lindo, Mariana, Ferreira, André, Alves, Victor, Kamp, Michael, Abourayya, Amr, Nensa, Felix, Hörst, Fabian, Brehmer, Alexander, Heine, Lukas, Hanusrichter, Yannik, Weßling, Martin, Dudda, Marcel, Podleska, Lars E., Fink, Matthias A., Keyl, Julius, Tserpes, Konstantinos, Kim, Moon-Sung, Elhabian, Shireen, Lamecker, Hans, Zukić, Dženan, Paniagua, Beatriz, Wachinger, Christian, Urschler, Martin, Duong, Luc, Wasserthal, Jakob, Hoyer, Peter F., Basu, Oliver, Maal, Thomas, Witjes, Max J. H., Schiele, Gregor, Chang, Ti-chiun, Ahmadi, Seyed-Ahmad, Luo, Ping, Menze, Bjoern, Reyes, Mauricio, Deserno, Thomas M., Davatzikos, Christos, Puladi, Behrus, Fua, Pascal, Yuille, Alan L., Kleesiek, Jens, Egger, Jan
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit s
Externí odkaz:
http://arxiv.org/abs/2308.16139
Publikováno v:
E3S Web of Conferences, Vol 257, p 02011 (2021)
With the growth of residential electricity consumption and the development of power energy conservation, exploring the factors that affect residential electricity consumption is of great significance for promoting the sustainable development of the r
Externí odkaz:
https://doaj.org/article/29f5c62cc91140928bb2c0ce5099c9b1