咨询与建议

限定检索结果

文献类型

  • 1,025 篇 会议
  • 898 篇 期刊文献
  • 2 册 图书

馆藏范围

  • 1,925 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,331 篇 工学
    • 607 篇 计算机科学与技术...
    • 526 篇 软件工程
    • 242 篇 控制科学与工程
    • 210 篇 信息与通信工程
    • 150 篇 电子科学与技术(可...
    • 145 篇 机械工程
    • 144 篇 电气工程
    • 139 篇 材料科学与工程(可...
    • 134 篇 化学工程与技术
    • 112 篇 仪器科学与技术
    • 99 篇 生物工程
    • 90 篇 动力工程及工程热...
    • 76 篇 力学(可授工学、理...
    • 66 篇 生物医学工程(可授...
    • 62 篇 光学工程
    • 57 篇 交通运输工程
    • 47 篇 土木工程
    • 47 篇 航空宇航科学与技...
    • 40 篇 冶金工程
    • 34 篇 建筑学
  • 685 篇 理学
    • 337 篇 数学
    • 206 篇 物理学
    • 114 篇 生物学
    • 110 篇 化学
    • 89 篇 系统科学
    • 68 篇 统计学(可授理学、...
  • 275 篇 管理学
    • 180 篇 管理科学与工程(可...
    • 96 篇 图书情报与档案管...
    • 49 篇 工商管理
  • 40 篇 医学
    • 37 篇 临床医学
  • 35 篇 法学
  • 20 篇 农学
  • 19 篇 经济学
  • 12 篇 军事学
  • 5 篇 教育学
  • 4 篇 艺术学
  • 2 篇 文学

主题

  • 41 篇 optimization
  • 40 篇 feature extracti...
  • 33 篇 training
  • 27 篇 accuracy
  • 24 篇 semantics
  • 23 篇 robustness
  • 22 篇 mathematical mod...
  • 21 篇 computational mo...
  • 20 篇 deep learning
  • 20 篇 wireless sensor ...
  • 19 篇 neural networks
  • 19 篇 visualization
  • 18 篇 automation
  • 18 篇 analytical model...
  • 16 篇 predictive model...
  • 16 篇 software
  • 15 篇 signal processin...
  • 15 篇 data models
  • 14 篇 laboratories
  • 13 篇 task analysis

机构

  • 36 篇 university of ch...
  • 33 篇 state key labora...
  • 32 篇 shenzhen city ke...
  • 31 篇 national enginee...
  • 30 篇 college of compu...
  • 30 篇 state key labora...
  • 25 篇 state key labora...
  • 24 篇 state key labora...
  • 24 篇 school of comput...
  • 24 篇 shaanxi key labo...
  • 23 篇 complex system a...
  • 21 篇 key laboratory o...
  • 20 篇 state key labora...
  • 20 篇 school of automa...
  • 19 篇 school of comput...
  • 19 篇 school of artifi...
  • 19 篇 shaanxi key labo...
  • 18 篇 shaanxi key labo...
  • 18 篇 key laboratory o...
  • 17 篇 hubei key labora...

作者

  • 26 篇 ding liu
  • 24 篇 shen linlin
  • 21 篇 ji zhen
  • 20 篇 cui zhihua
  • 19 篇 yufeng zheng
  • 17 篇 zhen ji
  • 16 篇 fei-yue wang
  • 15 篇 guangwen xu
  • 15 篇 junzhi yu
  • 14 篇 hu shengshan
  • 14 篇 wang fei-yue
  • 14 篇 li minghui
  • 13 篇 yunhao liu
  • 13 篇 li yan
  • 13 篇 zhang youmin
  • 12 篇 qiang huang
  • 12 篇 yu hang
  • 12 篇 liu ding
  • 12 篇 linlin shen
  • 12 篇 huiling duan

语言

  • 1,798 篇 英文
  • 69 篇 中文
  • 59 篇 其他
检索条件"机构=Key Laboratory of Software Engineering for Complex System"
1925 条 记 录,以下是21-30 订阅
排序:
A Bio-inspired Mutual-hook Strategy for the Soft Finger to Improve Load-bearing Capacity and Grasping Stability
收藏 引用
Journal of Bionic engineering 2024年 第3期21卷 1290-1304页
作者: Jie Huang Lingjie Gai Xiaofeng Zong Yunquan Li School of Automation China University of GeosciencesWuhan430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan430074China The Shien-Ming Wu School of Intelligent Engineering South China University of TechnologyGuangzhou510641China
Soft grippers have great potential applications in daily life,since they can compliantly grasp soft and delicate ***,the highly elastic fingers of most soft grippers are prone to separate from each other while graspin... 详细信息
来源: 评论
Vibration-Based Fault Diagnosis for Railway Point Machines Using VMD and Multiscale Fluctuation-Based Dispersion Entropy
收藏 引用
Chinese Journal of Electronics 2024年 第3期33卷 803-813页
作者: Yongkui SUN Yuan CAO Peng LI Guo XIE Tao WEN Shuai SU National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University School of Electronic and Information Engineering Beijing Jiaotong University Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University
As one of the most important railway signaling equipment,railway point machines undertake the major task of ensuring train operation *** fault diagnosis for railway point machines becomes a hot *** the advantage of th... 详细信息
来源: 评论
Complementary Learning system Based Intrinsic Reward in Reinforcement Learning  48
Complementary Learning System Based Intrinsic Reward in Rein...
收藏 引用
48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Gao, Zijian Xu, Kele Jia, Hongda Wan, Tianjiao Ding, Bo Feng, Dawei Mao, Xinjun Wang, Huaimin National University of Defense Technology Changsha China Key Laboratory of Software Engineering for Complex Systems Changsha China
Deep reinforcement learning has achieved encouraging performance in many realms. However, one of its primary challenges is the sparsity of extrinsic rewards, which is still far from solved. Complementary learning syst... 详细信息
来源: 评论
Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization  48
Diversifying Message Aggregation in Multi-Agent Communicatio...
收藏 引用
48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Zhai, Yuanzhao Xu, Kele Ding, Bo Feng, Dawei Gao, Zijian Wang, Huaimin National University of Defense Technology Changsha China Key Laboratory of Software Engineering for Complex Systems Changsha China
The use of graph attention networks (GAT) in communication-enhanced multi-agent reinforcement learning (Comm-MARL) has become prevalent. While successful, GAT can lead to homogeneity in the strategies of message aggre... 详细信息
来源: 评论
Progressive Diversifying Policy for Multi-Agent Reinforcement Learning  48
Progressive Diversifying Policy for Multi-Agent Reinforcemen...
收藏 引用
48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Sun, Shaoqi Zhai, Yuanzhao Xu, Kele Feng, Dawei Ding, Bo National University of Defense Technology Changsha China Key Laboratory of Software Engineering for Complex Systems Changsha China
Multi-Agent Reinforcement Learning (MARL) has recently achieved promising performance in many collaborative decision making tasks. However, one of the main bottleneck challenges for MARL is the sparsity of the team re... 详细信息
来源: 评论
Towards optimized tensor code generation for deep learning on sunway many-core processor
收藏 引用
Frontiers of Computer Science 2024年 第2期18卷 1-15页
作者: Mingzhen LI Changxi LIU Jianjin LIAO Xuegui ZHENG Hailong YANG Rujun SUN Jun XU Lin GAN Guangwen YANG Zhongzhi LUAN Depei QIAN State Key Laboratory of Software Development Environment Beijing 100191China School of Computer Science and Engineering Beihang UniversityBeijing 100191China National University of Singapore Singapore 119077Singapore State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi 214000China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing 100854China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China
The flourish of deep learning frameworks and hardware platforms has been demanding an efficient compiler that can shield the diversity in both software and hardware in order to provide application *** the existing dee... 详细信息
来源: 评论
Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines  30
Recommending Missed Citations Identified by Reviewers: A New...
收藏 引用
Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024
作者: Long, Kehan Li, Shasha Wang, Pancheng Bao, Chenlong Tang, Jintao Wang, Ting School of Computer National University of Defense Technology China Key Laboratory of Software Engineering for Complex Systems National University of Defense Technology China
Citing comprehensively and appropriately has become a challenging task with the explosive growth of scientific publications. Current citation recommendation systems aim to recommend a list of scientific papers for a g... 详细信息
来源: 评论
ServeNet-GPT-Fusion: A Fusion Language Model For Web Services Classification  21
ServeNet-GPT-Fusion: A Fusion Language Model For Web Service...
收藏 引用
21st International Bhurban Conference on Applied Sciences and Technology, IBCAST 2024
作者: Liu, Sizuo Yang, Yilong Khan, Muhammad Ali Tian, Zhen Chen, Ping Shang, Jingwei School of Software Beihang University Beijing China Beihang University School of Software State Key Laboratory of Complex and Critical Environment Beijing China Software Quality Engineering Research Center CEPREI Guangzhou China
Automatic service classification plays an important role in service discovery, selection, and composition. Recently, machine learning has been widely used in service classification. Even though promising results are o... 详细信息
来源: 评论
Two Stages Segmentation Algorithm of Breast Tumor in DCE-MRI Based on Multi-Scale Feature and Boundary Attention Mechanism
收藏 引用
Computers, Materials & Continua 2024年 第7期80卷 1543-1561页
作者: Bing Li Liangyu Wang Xia Liu Hongbin Fan Bo Wang Shoudi Tong School of Automation Harbin University of Science and TechnologyHarbin150080China Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration Harbin150080China School of Computer Engineering Technology Guangdong Institute of Science and TechnologyZhuhai519090China
Nuclearmagnetic resonance imaging of breasts often presents complex *** tumors exhibit varying sizes,uneven intensity,and indistinct *** characteristics can lead to challenges such as low accuracy and incorrect segmen... 详细信息
来源: 评论
Kalman Filter Adaptive Speed Tracking Control for High-speed Trains with Noise Interference  7
Kalman Filter Adaptive Speed Tracking Control for High-speed...
收藏 引用
7th International Conference on Intelligent Robotics and Control engineering, IRCE 2024
作者: Zhang, Chunli Xie, Yuwei Yan, Lei Qian, Fucai Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing College of Automation and Information Engineering Xi'an China
In this paper, high-speed train is regarded as a single prime point, a new tracking control method combining adaptive control and Kalman filtering is proposed. This paper solves the noise interference problem in the t... 详细信息
来源: 评论