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Evolving Container to Unikernel for Edge Computing and Applications in Process Industry 期刊论文
PROCESSES, 2021, 卷号: 9, 期号: 2, 页码: 18
作者:  Chen, Shichao;  Zhou, Mengchu
Adobe PDF(619Kb)  |  收藏  |  浏览/下载：217/42  |  提交时间：2021/03/29
big data analytics  lightweight virtualization  cloud computing  edge computing  industrial process  Industry 4.0  Internet of things  machine learning  process industry  fault diagnosis  
Pairwise interactions in gene expression determine a hierarchical transcriptional profile in the human brain 期刊论文
Science Bulletin, 2021, 卷号: 66, 期号: 无, 页码: 无
作者:  Hua, Jiaojiao;  Yang, Zhengyi;  Jiang, Tianzi;  Yu, Shan
Adobe PDF(3690Kb)  |  收藏  |  浏览/下载：208/47  |  提交时间：2021/06/17
Gene-gene interaction  Co-expression  Structural networkFunctional network  Functional network  Higher-order interactions  
NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 6, 页码: 2213-2222
作者:  Cai, Meishan;  Zhang, Zeyu;  Shi, Xiaojing;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(2134Kb)  |  收藏  |  浏览/下载：331/70  |  提交时间：2020/08/03
Fluorescence molecular tomography  NIR-II  NIR-I  GWNFL method  
A fast fused part-based model with new deep feature for pedestrian detection and security monitoring 期刊论文
MEASUREMENT, 2020, 卷号: 151, 期号: 1, 页码: 12
作者:  Cheng, Eric Juwei;  Prasad, Mukesh;  Yang, Jie;  Khanna, Pritee;  Chen, Bing-Hong;  Tao, Xian;  Young, Ku-Young;  Lin, Chin-Teng
浏览  |  Adobe PDF(3849Kb)  |  收藏  |  浏览/下载：260/52  |  提交时间：2020/03/30
Pedestrian detection  Haar-like feature  Deep fused feature  Deformable partmodel  Security monitoring  
Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 12, 页码: 3290-3302
作者:  Wang, Dongdong;  Hou, Xinwen;  Xu, Jiawei;  Yue, Shigang;  Liu, Cheng-Lin;  Cheng-Lin Liu
浏览  |  Adobe PDF(2774Kb)  |  收藏  |  浏览/下载：499/157  |  提交时间：2018/01/05
Traffic Sign Detection  Cascade System  Fast Feature Extraction  Saliency Test  
Three-dimensional lenticular display synthetic image rendering based on light field acquisition 期刊论文
JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY, 2017, 卷号: 25, 期号: 2, 页码: 117-125
作者:  Pei, Renjing;  Geng, Zheng;  Ma, Kui;  Zhang, Mei;  Wang, Rong
浏览  |  Adobe PDF(608Kb)  |  收藏  |  浏览/下载：351/110  |  提交时间：2017/07/18
3d Imaging Lenticular 3d Display  Crosstalk Optimization  Light Field  Light Field Capture  
Subpixel Multiplexing Method for 3D Lenticular Display 期刊论文
JOURNAL OF DISPLAY TECHNOLOGY, 2016, 卷号: 12, 期号: 10, 页码: 1197-1204
作者:  Pei, Renjing;  Geng, Zheng;  Zhang, ZhaoXing
浏览  |  Adobe PDF(854Kb)  |  收藏  |  浏览/下载：350/104  |  提交时间：2016/12/26
Subpixel Multiplexing  Super Multiview Display  3d Lenticular Display  
A Novel Optimization Method for Lenticular 3-D Display Based on Light Field Decomposion 期刊论文
JOURNAL OF DISPLAY TECHNOLOGY, 2016, 卷号: 12, 期号: 7, 页码: 727-735
作者:  Pei, Renjing;  Geng, Zheng;  Zhang, Zhao Xing;  Cao, Xuan;  Wang, Rong
浏览  |  Adobe PDF(1686Kb)  |  收藏  |  浏览/下载：275/85  |  提交时间：2016/09/30
Crosstalk Reduction  Lenticular 3-d Display  Light Field  
From PET/CT to PET/MRI: Advances in Instrumentation and Clinical Applications 期刊论文
MOLECULAR PHARMACEUTICS, 2014, 卷号: 11, 期号: 11, 页码: 3798-3809
作者:  Hu, Zhenhua;  Yang, Weidong;  Liu, Haixiao;  Wang, Kun;  Bao, Chengpeng;  Song, Tianming;  Wang, Jing;  Tian, Jie
浏览  |  Adobe PDF(551Kb)  |  收藏  |  浏览/下载：294/74  |  提交时间：2015/08/12
Positron Emission Tomography/computed Tomography (Pet/ct)  Positron Emission Tomography/magnetic Resonance Imaging (Pet/mri)  Time-of-flight (Tof)  Silicon Photomultiplier (Sipm)  Attenuation Correction  Oncology  Neurologic Disease  Cardiology  
Neural network for solving Nash equilibrium problem in application of multiuser power control 期刊论文
NEURAL NETWORKS, 2014, 卷号: 57, 页码: 73-78
作者:  He, Xing ;  Yu, Junzhi ;  Huang, Tingwen ;  Li, Chuandong ;  Li, Chaojie
收藏  |  浏览/下载：156/0  |  提交时间：2015/08/12
Neural Network  Multiuser Power Control  Nash Game  Global Convergence