咨询与建议

限定检索结果

文献类型

  • 276 篇 期刊文献
  • 199 篇 会议

馆藏范围

  • 475 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 300 篇 工学
    • 211 篇 计算机科学与技术...
    • 184 篇 软件工程
    • 49 篇 控制科学与工程
    • 47 篇 信息与通信工程
    • 40 篇 生物工程
    • 39 篇 光学工程
    • 30 篇 电气工程
    • 25 篇 生物医学工程(可授...
    • 22 篇 机械工程
    • 20 篇 交通运输工程
    • 17 篇 电子科学与技术(可...
    • 16 篇 材料科学与工程(可...
    • 13 篇 化学工程与技术
    • 10 篇 仪器科学与技术
    • 10 篇 安全科学与工程
    • 7 篇 动力工程及工程热...
    • 6 篇 土木工程
  • 160 篇 理学
    • 80 篇 数学
    • 52 篇 物理学
    • 45 篇 生物学
    • 28 篇 统计学(可授理学、...
    • 14 篇 化学
    • 13 篇 系统科学
  • 94 篇 管理学
    • 60 篇 管理科学与工程(可...
    • 39 篇 图书情报与档案管...
    • 17 篇 工商管理
  • 30 篇 医学
    • 26 篇 临床医学
    • 17 篇 基础医学(可授医学...
    • 10 篇 药学(可授医学、理...
  • 11 篇 法学
    • 9 篇 社会学
  • 5 篇 经济学
  • 5 篇 农学
  • 2 篇 教育学
  • 1 篇 文学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 17 篇 deep learning
  • 14 篇 reinforcement le...
  • 12 篇 semantics
  • 12 篇 feature extracti...
  • 10 篇 machine learning
  • 10 篇 training
  • 9 篇 predictive model...
  • 8 篇 image segmentati...
  • 8 篇 artificial intel...
  • 8 篇 intelligent syst...
  • 7 篇 computer science
  • 7 篇 scalability
  • 7 篇 semantic segment...
  • 7 篇 task analysis
  • 7 篇 three-dimensiona...
  • 7 篇 convolution
  • 7 篇 laboratories
  • 7 篇 trajectory
  • 7 篇 correlation
  • 6 篇 automation

机构

  • 52 篇 school of artifi...
  • 28 篇 beijing engineer...
  • 28 篇 guangdong engine...
  • 25 篇 university of ch...
  • 19 篇 state key labora...
  • 18 篇 qingdao academy ...
  • 14 篇 center for resea...
  • 14 篇 the state key la...
  • 14 篇 state key labora...
  • 13 篇 ieee
  • 10 篇 cloud computing ...
  • 10 篇 state key labora...
  • 10 篇 state key labora...
  • 9 篇 intelligent manu...
  • 9 篇 the beijing engi...
  • 9 篇 the state key la...
  • 8 篇 beijing national...
  • 8 篇 department of co...
  • 7 篇 school of comput...
  • 7 篇 state key labora...

作者

  • 57 篇 gang xiong
  • 34 篇 xiong gang
  • 29 篇 zhen shen
  • 20 篇 xisong dong
  • 19 篇 fei-yue wang
  • 18 篇 shen zhen
  • 17 篇 dong xisong
  • 13 篇 xiuqin shang
  • 13 篇 fenghua zhu
  • 13 篇 fan rui
  • 13 篇 wang lihui
  • 12 篇 hu xiaolin
  • 11 篇 sun maosong
  • 10 篇 bin hu
  • 9 篇 liu yang
  • 9 篇 wang liang
  • 9 篇 shichao chen
  • 8 篇 zhu fenghua
  • 8 篇 liu qiang
  • 8 篇 wu shu

语言

  • 448 篇 英文
  • 18 篇 其他
  • 9 篇 中文
检索条件"机构=Research Center for Intelligent Computing Systems State Key Laboratory of Computer Architecture"
475 条 记 录,以下是11-20 订阅
排序:
Multi-scale cyclical similarity prototype refinement for few-shot breast ultrasound image segmentation  17
Multi-scale cyclical similarity prototype refinement for few...
收藏 引用
17th IEEE International Conference on Signal Processing, ICSP 2024
作者: Ou, Yingfeng Yang, Xing Zhang, Jian Jian, Caiqing Wang, Lihui College of Computer Science and Technology Guizhou University Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province State Key Laboratory of Public Big Data Engineering Research Center of Text Computing Ministry of Education Guiyang China
Few-shot learning based methods can address the reliance on large-scale labeled samples in current breast tumor segmentation. However, previous methods typically rely on a few support samples to extract abstract, coar... 详细信息
来源: 评论
Data quantity governance for machine learning in materials science
收藏 引用
National Science Review 2023年 第7期10卷 234-250页
作者: Yue Liu Zhengwei Yang Xinxin Zou Shuchang Ma Dahui Liu Maxim Avdeev Siqi Shi School of Computer Engineering and Science Shanghai University Shanghai Engineering Research Center of Intelligent Computing System Australian Nuclear Science and Technology Organisation School of Chemistry The University of Sydney State Key Laboratory of Advanced Special Steel School of Materials Science and Engineering Shanghai University Materials Genome Institute Shanghai University
Data-driven machine learning(ML) is widely employed in the analysis of materials structure-activity relationships,performance optimization and materials design due to its superior ability to reveal latent data pattern... 详细信息
来源: 评论
DFGET: Displacement-Field Assisted Graph Energy Transmitter for Gland Instance Segmentation  17
DFGET: Displacement-Field Assisted Graph Energy Transmitter ...
收藏 引用
17th IEEE International Conference on Signal Processing, ICSP 2024
作者: Jian, Caiqing Qin, Yongbin Wang, Lihui Ye, Chen Cheng, Xinyu Guizhou University Engineering Research Center of Text Computing & Cognitive Intelligence Ministry of Education Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province State Key Laboratory of Public Big Data College of Computer Science and Technology Guiyang China
Gland instance segmentation is an essential but challenging task in the diagnosis of adenocarcinoma. The existing models usually achieve gland instance segmentation through multi-task learning and boundary loss constr... 详细信息
来源: 评论
HDD4DBP: A Large-Scale Multi-Modal Benchmark on Driving Behavior Prediction
HDD4DBP: A Large-Scale Multi-Modal Benchmark on Driving Beha...
收藏 引用
2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024
作者: Dong, Qinghui Zhang, Zhang Chang, Yubo Chen, Wentao Wang, Liang Institute of Automation Chinese Academy of Sciences Center for Research on Intelligent Perception and Computing State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China
Driving behavior prediction (DBP) plays an important role in autonomous driving. Accurately anticipating driving behaviors (e.g., left turn, right turn) of ego-vehicles 3-5 seconds before actual occurrences of maneuve... 详细信息
来源: 评论
Real-time In-situ Defect Detection in 3D Printing of Continuous Fiber-Reinforced Composites  4
Real-time In-situ Defect Detection in 3D Printing of Continu...
收藏 引用
4th IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2024
作者: Yue, Zhijian Shen, Zhen Dong, Xiangyang Fang, Qihang Wang, Weixing Dong, Xisong Xiong, Gang Wang, Fei-Yue University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing100190 China Qingdao Academy of Intelligent Industries Intelligent Manufacturing Center Qingdao266109 China Chinese Academy of Sciences Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Dongguan523808 China Chinese Academy of Sciences State Key Laboratory for Management and Control for Complex Systems Institute of Automation Beijing100190 China
With the development of continuous fiber-reinforced composites (CFRCs) 3D printing technology, timely, efficient and accurate detection of fiber path defects is essential for ensuring product quality and performance. ... 详细信息
来源: 评论
Brain-inspired artificial intelligence research: A review
收藏 引用
Science China(Technological Sciences) 2024年 第8期67卷 2282-2296页
作者: WANG GuoYin BAO HuaNan LIU Qun ZHOU TianGang WU Si HUANG TieJun YU ZhaoFei LU CeWu GONG YiHong ZHANG ZhaoXiang HE Sheng Chongqing Key Laboratory of Computational Intelligence Chongqing University of Posts and TelecommunicationsChongqing 400065China Key Laboratory of Cyberspace Big Data Intelligent Security Chongqing University of Posts and TelecommunicationsChongqing 400065China College of Computer and Information Science Chongqing Normal UniversityChongqing 401331China State Key Laboratory of Brain and Cognitive Science Institute of BiophysicsChinese Academy of SciencesBeijing 100101China School of Psychological and Cognitive Sciences Peking UniversityBeijing 100871China State Key Laboratory of Multimedia Information Processing School of Computer SciencePeking UniversityBeijing 100871China Department of Computer Science School of ElectronicsInformation and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Faculty of Electronic and Information Engineering Xi’an Jiaotong UniversityXi’an 710049China The Center for Research on Intelligent Perception and Computing Institute of AutomationChinese Academy of SciencesBeijing 100190China Institute of Biophysics Chinese Academy of SciencesBeijing 100101China
Artificial intelligence(AI) systems surpass certain human intelligence abilities in a statistical sense as a whole, but are not yet the true realization of these human intelligence abilities and behaviors. There are d... 详细信息
来源: 评论
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection  38
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Ob...
收藏 引用
38th Conference on Neural Information Processing systems, NeurIPS 2024
作者: Li, Haochen Zhang, Rui Yao, Hantao Zhang, Xin Hao, Yifan Song, Xinkai Li, Xiaqing Zhao, Yongwei Li, Ling Chen, Yunji Intelligent Software Research Center Institute of Software CAS Beijing China State Key Lab of Processors Institute of Computing Technology CAS Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation CAS Beijing China University of Chinese Academy of Sciences Beijing China
Domain adaptive object detection (DAOD) aims to generalize detectors trained on an annotated source domain to an unlabelled target domain. As the visual-language models (VLMs) can provide essential general knowledge o...
来源: 评论
An Actor-Critic Framework Deep Reinforcement Learning Approach to High-speed Train Timetable Rescheduling Problem  4
An Actor-Critic Framework Deep Reinforcement Learning Approa...
收藏 引用
4th IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2024
作者: Tian, Zhilong Li, Runmei Xiong, Gang Zhu, Fenghua Beijing Jiaotong University School of Automation and Intelligence Beijing China Chinese Academy of Sciences Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing China Chinese Academy of Sciences Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Dongguan China Chinese Academy of Sciences State Key Laboratory for Multimodal Artificial Intelligence Systems Beijing China
High-speed trains are inevitably affected by emergencies in their daily operation, which may cause the trains to fail to run according to the original planned timetable. Therefore, how to adjust the timetable of subse... 详细信息
来源: 评论
Text Semantic Analysis and intelligent Interaction in Parallel Dispatching systems for Technical Station  4
Text Semantic Analysis and Intelligent Interaction in Parall...
收藏 引用
4th IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2024
作者: Jiao, Yuantao Wang, Jian Li, Runmei Xiong, Gang Chen, Shichao Beijing Jiaotong University School of Automation and Intelligence Beijing China Institute of Automation Chinese Academy of Sciences Beijing Engineering Research Center of Intelligent Systems and Technology Beijing China Cloud Computing Center Chinese Academy of Sciences Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Dongguan China Chinese Academy of Sciences State Key Laboratory for Multimodal Artificial Intelligence Systems Beijing China
Technical station dispatching system plays an important role in cargo operation, but due to the large number of dispatching systems and complex operation, dispatchers rely on manual experience to complete the task, an... 详细信息
来源: 评论
The Immense Impact of Reverse Edges on Large Hierarchical Networks
收藏 引用
Engineering 2024年 第5期36卷 240-249页
作者: Haosen Cao Bin-Bin Hu Xiaoyu Mo Duxin Chen Jianxi Gao Ye Yuan Guanrong Chen Tamás Vicsek Xiaohong Guan Hai-Tao Zhang MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems State Key Laboratory of Intelligent Manufacturing Equipment and TechnologySchool of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Jiangsu Key Laboratory of Networked Collective Intelligence School of MathematicsSoutheast UniversityNanjing 210096China Department of Computer Science Rensselaer Polytechnic InstituteTroyNY 12180USA Department of Electronic Engineering City University of Hong KongHong Kong 999077China Department of Biological Physics Eötvös UniversityBudapest 1117Hungary MOE Key Laboratory for Intelligent Networks and Network Security School of Automation Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China
Hierarchical networks are frequently encountered in animal groups,gene networks,and artificial engineering systems such as multiple robots,unmanned vehicle systems,smart grids,wind farm networks,and so *** structure o... 详细信息
来源: 评论