咨询与建议

限定检索结果

文献类型

  • 477 篇 期刊文献
  • 319 篇 会议

馆藏范围

  • 796 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 584 篇 工学
    • 319 篇 计算机科学与技术...
    • 276 篇 软件工程
    • 109 篇 信息与通信工程
    • 107 篇 生物工程
    • 84 篇 交通运输工程
    • 68 篇 光学工程
    • 64 篇 电气工程
    • 61 篇 生物医学工程(可授...
    • 57 篇 控制科学与工程
    • 57 篇 化学工程与技术
    • 49 篇 机械工程
    • 42 篇 电子科学与技术(可...
    • 41 篇 建筑学
    • 37 篇 材料科学与工程(可...
    • 37 篇 环境科学与工程(可...
    • 34 篇 土木工程
    • 28 篇 冶金工程
    • 23 篇 仪器科学与技术
  • 366 篇 理学
    • 181 篇 数学
    • 114 篇 生物学
    • 94 篇 物理学
    • 64 篇 统计学(可授理学、...
    • 54 篇 化学
    • 22 篇 系统科学
  • 150 篇 管理学
    • 103 篇 管理科学与工程(可...
    • 53 篇 工商管理
    • 53 篇 图书情报与档案管...
  • 36 篇 医学
    • 30 篇 临床医学
  • 29 篇 法学
    • 27 篇 社会学
  • 26 篇 经济学
    • 26 篇 应用经济学
  • 26 篇 农学
  • 10 篇 教育学
  • 3 篇 文学
  • 2 篇 军事学
  • 1 篇 艺术学

主题

  • 19 篇 deep learning
  • 14 篇 forecasting
  • 13 篇 feature extracti...
  • 12 篇 convolution
  • 11 篇 life cycle
  • 9 篇 neural networks
  • 9 篇 semantics
  • 9 篇 convolutional ne...
  • 8 篇 machine learning
  • 8 篇 transportation
  • 7 篇 covid-19
  • 7 篇 semantic segment...
  • 7 篇 self-supervised ...
  • 7 篇 optimization
  • 6 篇 reinforcement le...
  • 6 篇 image segmentati...
  • 6 篇 graph neural net...
  • 6 篇 computational mo...
  • 6 篇 costs
  • 6 篇 synthetic apertu...

机构

  • 47 篇 school of transp...
  • 44 篇 national enginee...
  • 40 篇 national enginee...
  • 30 篇 national enginee...
  • 22 篇 national enginee...
  • 21 篇 henan key labora...
  • 20 篇 peng cheng labor...
  • 20 篇 national enginee...
  • 18 篇 school of comput...
  • 17 篇 school of comput...
  • 16 篇 national enginee...
  • 14 篇 national enginee...
  • 14 篇 school of comput...
  • 14 篇 national and loc...
  • 13 篇 henan engineerin...
  • 13 篇 school of comput...
  • 13 篇 national united ...
  • 11 篇 national enginee...
  • 11 篇 school of transp...
  • 11 篇 college of compu...

作者

  • 46 篇 xia yong
  • 44 篇 zhang yanning
  • 19 篇 li tianrui
  • 19 篇 wang peng
  • 14 篇 xie yutong
  • 13 篇 xi xiaoli
  • 13 篇 liu yugang
  • 13 篇 chen geng
  • 11 篇 nie zuoren
  • 11 篇 chen enhong
  • 11 篇 tian chunwei
  • 11 篇 yang hongtai
  • 11 篇 bin cui
  • 10 篇 liao zehui
  • 10 篇 tong yang
  • 10 篇 sun zhanbo
  • 10 篇 zheng fangfang
  • 10 篇 gong xianzheng
  • 10 篇 zhang jianpeng
  • 10 篇 liu yu

语言

  • 749 篇 英文
  • 29 篇 其他
  • 19 篇 中文
检索条件"机构=National Engineering Laboratory for Big Data Analysis and Application Technology"
796 条 记 录,以下是591-600 订阅
排序:
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation
arXiv
收藏 引用
arXiv 2023年
作者: Chen, Ziyang Pan, Yongsheng Xia, Yong The National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology School of Computer Science and Engineering Northwestern Polytechnical University Xi’an710072 China The Ningbo Institute of Northwestern Polytechnical University Ningbo315048 China The School of Biomedical and Engineering ShanghaiTech University Shanghai201210 China
Glaucoma is one of the leading causes of irreversible blindness. Segmentation of optic disc (OD) and optic cup (OC) on fundus images is a crucial step in glaucoma screening. Although many deep learning models have bee... 详细信息
来源: 评论
On the Role of Non-Localities in Fundamental Diagram Estimation
arXiv
收藏 引用
arXiv 2023年
作者: Liu, Jing Zheng, Fangfang Yu, Boxi Jabari, Saif School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology National United Engineering Laboratory of Integrated and Intelligent Transportation Southwest Jiaotong University Western Hi-tech Zone Sichuan Chengdu611756 China Division of Engineering New York University Abu Dhabi Saadiyat Island PO Box 129188 Abu Dhabi United Arab Emirates
We consider the role of non-localities in speed-density data used to fit fundamental diagrams from vehicle trajectories. We demonstrate that the use of anticipated densities results in a clear classification of speed-... 详细信息
来源: 评论
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problem
The Journal of Machine Learning Research
收藏 引用
The Journal of Machine Learning Research 2020年 第1期21卷 9253-9290页
作者: Peipei Tang Chengjing Wang Defeng Sun Kim-Chuan Toh School of Computer and Computing Science Zhejiang University City College Hangzhou China School of Mathematics and National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University Chengdu China Department of Applied Mathematics The Hong Kong Polytechnic University Hung Hom Hong Kong Department of Mathematics and Institute of Operations Research and Analytics National University of Singapore Singapore
In this paper, we consider high-dimensional nonconvex square-root-loss regression problems and introduce a proximal majorization-minimization (PMM) algorithm for solving these problems. Our key idea for making the pro... 详细信息
来源: 评论
NSGA II for Configuration Optimization of Cold Chain Logistic Network with Fully Shared Facilities and Equipments
Journal of Network Intelligence
收藏 引用
Journal of Network Intelligence 2023年 第4期8卷 1497-1516页
作者: Yu, Qu-Bo An, Le-Yao Yu, Qing-Feng Liu, Xiao-Wei Pu, Fang-Zhu Ni, Shao-Quan School of Transportation and Logistics Southwest Jiaotong University Chengdu610031 China New Corridor Logistics Group Co. Ltd. of Sichuan Port and Shipping Investment Chengdu610000 China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University Chengdu610031 China
In the face of multiple issues such as unreasonable allocation of cold chain logistics resources, environmental pollution, and energy crises, better resource integration, optimization, and upgrading are needed. One of... 详细信息
来源: 评论
CrossDiff: Exploring Self-Supervised Representation of Pansharpening via Cross-Predictive Diffusion Model
arXiv
收藏 引用
arXiv 2024年
作者: Xing, Yinghui Qu, Litao Zhang, Shizhou Zhang, Kai Zhang, Yanning Ran, Lingyan Zhang, Xiuwei Yin, Hanlin The Shaanxi Provincial Key Laboratory of Speech and Image Information Processing The National Engineering Laboratory for Integrated Aerospace-GroundOcean Big Data Application Technology School of Computer Science Northwestern Polytechnical University Xi’an710072 China The Research Development Institute Northwestern Polytechnical University in Shenzhen Shenzhen518057 China
Fusion of a panchromatic (PAN) image and corresponding multispectral (MS) image is also known as pansharpening, which aims to combine abundant spatial details of PAN and spectral information of MS. Due to the absence ... 详细信息
来源: 评论
Multispectral Pan-sharpening via Dual-Channel Convolutional Network with Convolutional LSTM Based Hierarchical Spatial-Spectral Feature Fusion
arXiv
收藏 引用
arXiv 2020年
作者: Wang, Dong Bai, Yunpeng Li, Ying School of Computer Science National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Shaanxi Provincial Key Laboratory of Speech & Image Information Processing Northwestern Polytechnical University Xian China School of Computing and Information Systems University of Melbourne VIC3010 Australia
Multispectral pan-sharpening aims at producing a high resolution (HR) multispectral (MS) image in both spatial and spectral domains by fusing a panchromatic (PAN) image and a corresponding MS image. In this paper, we ... 详细信息
来源: 评论
A fine-grained perspective on the robustness of global cargo ship transportation networks
收藏 引用
Journal of Geographical Sciences 2018年 第7期28卷 881-899页
作者: 彭澎 程诗奋 陈金海 廖梦迪 吴琳 刘希亮 陆锋 State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research CAS University of Chinese Academy of Sciences Navigation Aids Technology Research Center of Jimei University National & Local Joint Engineering Research Center for Marine Navigation Aids Services College of Geomatics Shandong University of Science and Technology Institute of Computing Technology CAS Fujian Collaborative Innovation Center for Big Data Applications in Governments Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
The robustness of cargo ship transportation networks is essential to the stability of the world trade system. The current research mainly focuses on the coarse-grained, holistic cargo ship transportation network while... 详细信息
来源: 评论
Influence of Rotation on Pedestrian Flow Considering Bipedal Features: Modeling Using a Fine Discrete Floor Field Cellular Automaton
SSRN
收藏 引用
SSRN 2022年
作者: Fu, Zhijian Xiong, Xingwen Luo, Lin Yang, Yunjia Feng, Yujing Chen, Hua School of Transportation and Logistics Southwest Jiaotong University Chengdu China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University Chengdu China National United Engineering Laboratory of Integrated and Intelligent Transportation Southwest Jiaotong University Chengdu China Sichuan FAST Fire Safety Assessment Co. Ltd. Chengdu China
Previous studies assume pedestrians rotate with a single axis (often the geometric center of agents in simulation) for simple implementation, which ignores the asymmetry and bipedal features of pedestrian behavior. Th... 详细信息
来源: 评论
Modeling the Aberrant Behavior of Nigerian Drivers Using the Manchester Driver Behavior Questionnaire
SSRN
收藏 引用
SSRN 2021年
作者: Labbo, Muwaffaq Safiyanu Xinguo, Jiang School of Transportation and Logistics Southwest Jiaotong University West Park High-Tech District Chengdu611756 China National Engineering Laboratory of Integrated Transportation Big Data Application Technology West Park High-Tech District Chengdu611756 China Department of Civil Engineering Kano University of Science and Technology Wudil Kano Nigeria
The Driver Behavior Questionnaire (DBQ) is one of the most widely used tool for measuring self-reported driving style and behavior. Nigeria, which is among the top countries with high rate of accident is lacking in be... 详细信息
来源: 评论
Multi-Modal Transformer for Accelerated MR Imaging
arXiv
收藏 引用
arXiv 2021年
作者: Feng, Chun-Mei Yan, Yunlu Chen, Geng Xu, Yong Hu, Ying Shao, Ling Fu, Huazhu Shenzhen Key Laboratory of Visual Object Detection and Recognition Harbin Institute of Technology Shenzhen518055 China National Engineering Laboratory for Integrated AeroSpace-Ground-Ocean Big Data Application Technology School of Computer Science and Engineering Northwestern Polytechnical University Xi’an710072 China Terminus Group China Institute of High Performance Computing A*STAR Singapore138632 Singapore
Accelerated multi-modal magnetic resonance (MR) imaging is a new and effective solution for fast MR imaging, providing superior performance in restoring the target modality from its undersampled counterpart with guida... 详细信息
来源: 评论