中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共670条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Data completion algorithms and their applications in inverse acoustic scattering with limited-aperture backscattering data 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 469, 页码: 17
作者:  Dou, Fangfang;  Liu, Xiaodong;  Meng, Shixu;  Zhang, Bo
收藏  |  浏览/下载：75/0  |  提交时间：2023/02/07
Inverse acoustic scattering  Limited aperture  Backscattering data  Data completion  Direct sampling method  Factorization method  
Revealing nonclassicality via s-ordered phase-space distribution 期刊论文
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2022, 卷号: 65, 期号: 11, 页码: 7
作者:  Zhang, Yue;  Liu, Shuheng;  Jing, Boxuan;  He, Qiongyi;  Luo, Shunlong
收藏  |  浏览/下载：70/0  |  提交时间：2023/02/07
nonclassicality  s-ordered phase-space distribution  Gaussian states  Gaussian noise channels  
Entropic quantifier of spin-boson nonclassicality 期刊论文
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2022, 卷号: 55, 期号: 42, 页码: 18
作者:  Zhang, Yue;  Jing, Boxuan;  He, Qiongyi;  Luo, Shunlong
收藏  |  浏览/下载：60/0  |  提交时间：2023/02/07
spin-boson systems  nonclassicality  entropy excess  Tsallis entropy  quantum phase transition  
Plant-based meat substitutes by high-moisture extrusion: Visualizing the whole process in data systematically from raw material to the products 期刊论文
JOURNAL OF INTEGRATIVE AGRICULTURE, 2022, 卷号: 21, 期号: 8, 页码: 2435-2444
作者:  Jin-chuang, Zhang;  Zhen, Meng;  Qiong-ling, C. H. E. N. G.;  Qi-zhai, L., I;  Yu-jie, Z. H. A. N. G.;  Li, L. I. U.;  Ai-min, S. H., I;  Qiang, W. A. N. G.
收藏  |  浏览/下载：60/0  |  提交时间：2023/02/07
plant-based meat substitutes  high-moisture extrusion process  extrusion parameters  models  visualization platform software  
Networked Knowledge and Complex Networks: An Engineering View 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 8, 页码: 1366-1383
作者:  Lu, Jinhu;  Wen, Guanghui;  Lu, Ruqian;  Wang, Yong;  Zhang, Songmao
收藏  |  浏览/下载：116/0  |  提交时间：2023/02/07
Complex network  knowledge graph  networked knowledge  neural network  
Adversarial Information Bottleneck 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10
作者:  Zhai, Penglong;  Zhang, Shihua
收藏  |  浏览/下载：53/0  |  提交时间：2023/02/07
Robustness  Optimization  Mutual information  Deep learning  Perturbation methods  Training  Task analysis  Adversarial robustness  deep learning  hyperparameter selection  information bottleneck (IB)  
hDirect-MAP: projection-free single-cell modeling of response to checkpoint immunotherapy 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2022, 卷号: 23, 期号: 2, 页码: 16
作者:  Lu, Yong;  Xue, Gang;  Zheng, Ningbo;  Han, Kun;  Yang, Wenzhong;  Wang, Rui-Sheng;  Wu, Lingyun;  Miller, Lance D.;  Pardee, Timothy;  Triozzi, Pierre L.;  Lo, Hui-Wen;  Watabe, Kounosuke;  Wong, Stephen T. C.;  Pasche, Boris C.;  Zhang, Wei;  Jin, Guangxu
收藏  |  浏览/下载：123/0  |  提交时间：2023/02/07
single-cell RNA sequencing (scRNA-seq)  single-cell mass cytometry (CyTOF)  Pareto optimization  projection-free single-cell modeling  response to immune checkpoint blockade  
FROM THE WIGNER FUNCTION TO THE s-ORDERED PHASE-SPACE DISTRIBUTION VIA A GAUSSIAN NOISE CHANNEL 期刊论文
THEORETICAL AND MATHEMATICAL PHYSICS, 2022, 卷号: 210, 期号: 3, 页码: 425-441
作者:  Zhang, Yue;  Luo, Shunlong
收藏  |  浏览/下载：172/0  |  提交时间：2022/04/29
Wigner function  s-ordered phase-space distribution  Gaussian noise channel  noise parameter  nonclassicality  
MODIFIED SAMPLING METHOD WITH NEAR FIELD MEASUREMENTS 期刊论文
SIAM JOURNAL ON APPLIED MATHEMATICS, 2022, 卷号: 82, 期号: 1, 页码: 244-266
作者:  Liu, Xiaodong;  Meng, Shixu;  Zhang, Bo
收藏  |  浏览/下载：143/0  |  提交时间：2022/04/29
inverse scattering  sampling method  near field measurements  limited-aperture  
STOCHASTIC CONVERGENCE OF REGULARIZED SOLUTIONS AND THEIR FINITE ELEMENT APPROXIMATIONS TO INVERSE SOURCE PROBLEMS 期刊论文
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2022, 卷号: 60, 期号: 2, 页码: 751-780
作者:  CHEN, Z. H. I. M. I. N. G.;  ZHANG, W. E. N. L. O. N. G.;  ZOU, J. U. N.
收藏  |  浏览/下载：76/0  |  提交时间：2023/02/07
inverse source problems  regularization  finite element approximation  stochastic error estimates