咨询与建议

限定检索结果

文献类型

  • 49 篇 会议
  • 44 篇 期刊文献

馆藏范围

  • 93 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 66 篇 工学
    • 44 篇 计算机科学与技术...
    • 41 篇 软件工程
    • 14 篇 信息与通信工程
    • 12 篇 控制科学与工程
    • 11 篇 电气工程
    • 9 篇 机械工程
    • 8 篇 生物工程
    • 7 篇 电子科学与技术(可...
    • 5 篇 化学工程与技术
    • 5 篇 生物医学工程(可授...
    • 3 篇 仪器科学与技术
    • 2 篇 力学(可授工学、理...
    • 2 篇 光学工程
    • 2 篇 材料科学与工程(可...
    • 2 篇 动力工程及工程热...
    • 2 篇 建筑学
    • 2 篇 土木工程
    • 2 篇 水利工程
  • 36 篇 理学
    • 12 篇 生物学
    • 11 篇 数学
    • 7 篇 物理学
    • 5 篇 化学
    • 5 篇 统计学(可授理学、...
    • 3 篇 大气科学
    • 2 篇 海洋科学
  • 16 篇 管理学
    • 9 篇 管理科学与工程(可...
    • 7 篇 图书情报与档案管...
  • 7 篇 医学
    • 6 篇 临床医学
    • 4 篇 基础医学(可授医学...
    • 3 篇 药学(可授医学、理...
  • 3 篇 农学
  • 2 篇 法学
  • 1 篇 经济学
  • 1 篇 艺术学

主题

  • 4 篇 machine learning
  • 3 篇 deep learning
  • 3 篇 feature extracti...
  • 2 篇 power demand
  • 2 篇 internet of thin...
  • 2 篇 object detection
  • 2 篇 reinforcement le...
  • 2 篇 motion planning
  • 2 篇 recommender syst...
  • 2 篇 brain modeling
  • 2 篇 cameras
  • 2 篇 resource managem...
  • 2 篇 5g mobile commun...
  • 2 篇 contrastive lear...
  • 2 篇 computational mo...
  • 2 篇 extraction
  • 2 篇 emotion recognit...
  • 2 篇 accuracy
  • 2 篇 collaboration
  • 2 篇 streaming media

机构

  • 20 篇 school of artifi...
  • 17 篇 key laboratory o...
  • 8 篇 school of comput...
  • 7 篇 china light indu...
  • 7 篇 state key labora...
  • 5 篇 china national l...
  • 3 篇 gaoling school o...
  • 3 篇 information secu...
  • 3 篇 college of infor...
  • 3 篇 guizhou universi...
  • 3 篇 beijing key labo...
  • 2 篇 institute of ind...
  • 2 篇 oil production p...
  • 2 篇 tsinghua univers...
  • 2 篇 institute of com...
  • 2 篇 school of comput...
  • 2 篇 graduate school ...
  • 2 篇 school of artifi...
  • 2 篇 key laboratory o...
  • 2 篇 artificial intel...

作者

  • 12 篇 lian xiaoqin
  • 11 篇 gao chao
  • 7 篇 xiaoqin lian
  • 7 篇 gong yonggang
  • 6 篇 chao gao
  • 5 篇 li jin
  • 5 篇 xu jiping
  • 5 篇 guan wenyang
  • 5 篇 wu yelan
  • 4 篇 zhao zhiyao
  • 4 篇 jiping xu
  • 4 篇 wenyang guan
  • 4 篇 li jian
  • 4 篇 yonggang gong
  • 4 篇 zhiyao zhao
  • 3 篇 yu chongchong
  • 3 篇 yuan xin
  • 3 篇 yelan wu
  • 3 篇 mi jiachen
  • 3 篇 feng zhiyong

语言

  • 87 篇 英文
  • 6 篇 其他
检索条件"机构=Big Data and Industrial Intelligence Networking Technology Laboratory"
93 条 记 录,以下是41-50 订阅
排序:
Research on data value evaluation of railway construction period based on ahp-grey clustering method
Research on data value evaluation of railway construction pe...
收藏 引用
2022 International Workshop on Automation, Control, and Communication Engineering, IWACCE 2022
作者: Lian, Xiaoqin Yang, Kai Gao, Chao Wu, Yanhua Cheng, Zhibo Wu, Yelan Gong, Yonggang Key Laboratory of Industrial Internet and Big Data China National Light Industry Beijing Technology and Business University Beijing100048 China School of Artificial Intelligence Beijing Technology and Business University Beijing100048 China Institute of Computing Technologies China Academy of Railway Sciences Corporation Limited Beijing100081 China
In the hierarchical storage system, the data value needed to be evaluated to formulate rules data for hierarchical storage and migration. To further research the data hierarchical storage system in railway constructio... 详细信息
来源: 评论
Tunnel Disease Detection Based on Spark and Deep Learning  8th
Tunnel Disease Detection Based on Spark and Deep Learning
收藏 引用
8th International Conference on Artificial intelligence and Security , ICAIS 2022
作者: Zhao, Xia Zheng, Ying Yu, Chongchong You, Xiangjun Zhao, Lu China Light Industry Key Laboratory of Industrial Internet and Big Data Beijing Technology and Business University Beijing100048 China School of Artificial Intelligence Beijing Technology and Business University Beijing100048 China Zhejiang HuaZhan Institute of Engineering Research and Design Ningbo315012 China Secregen Technology San MateoCA94402 United States
Aiming at metro shield disease detection with LiDAR scanning data, this paper proposes an approach of distributed parallel point cloud data processing and shield disease detection. The approach is based on HDFS and Sp... 详细信息
来源: 评论
A Triangular Stable Node Network based on Self-supervised Learning for personalized prediction
A Triangular Stable Node Network based on Self-supervised Le...
收藏 引用
2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Liu, Qing Gao, Qian Fan, Jun Zhang, Zhiqiang Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Qilu University of Technology Shandong Academy of Sciences Jinan250014 China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Qilu University of Technology Shandong Academy of Sciences Jinan250353 China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Jinan250014 China China Telecom Digital Intelligence Techonology Co Ltd. No.1999 Shunhua road Shandong Jinan250101 China
In recent years, research has illuminated the potency of implicit data processing in enhancing user preferences. Nevertheless, barriers remain in breaking through the constraints of implicit information. This study ai... 详细信息
来源: 评论
IMM Based Sequential Fault-tolerant Fusion Estimation with Heavy-tailed Noises
IMM Based Sequential Fault-tolerant Fusion Estimation with H...
收藏 引用
第34届中国控制与决策会议
作者: Di Jia Lu Jiang Tianhua Chen Jiping Xu Xiaoyi Wang School of Artificial Intelligence Beijing Technology and Business University Key Laboratory of Industrial Internet and Big Data ChinaNational Light IndustryBeijing Technology and Business University
In this paper,the problem of interactive multi-model(IMM) based sequential fusion estimation with heavytailed noise in an unreliable transmission environment is *** measurement values are affected by random packet los... 详细信息
来源: 评论
Precipitation Nowcasting Using Diffusion Transformer with Causal Attention
arXiv
收藏 引用
arXiv 2024年
作者: Li, ChaoRong Ling, XuDong Xue, YiLan Luo, Wenjie Zhu, LiHong Qin, FengQing Zhou, Yaodong Huang, Yuanyuan Faculty of Artificial Intelligence and Big Data Yibin University Yibin644000 China Key Laboratory of Urban-Rural Industrial Integration and Intelligent Decision-Making Sichuan Province For Social Sciences China Chongqing University of Technology Chongqing400054 China Chengdu University of Information Technology Chengdu610225 China
Short-term precipitation forecasting remains challenging due to the difficulty in capturing long-term spatiotemporal dependencies. Current deep learning methods fall short in establishing effective dependencies betwee... 详细信息
来源: 评论
Semantic and Emotional Dual Channel for Emotion Recognition in Conversation
收藏 引用
IEEE Transactions on Affective Computing 2025年
作者: Yang, Zhenyu Zhang, Zhibo Cheng, Yuhu Zhang, Tong Wang, Xuesong Jinan250353 China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan250353 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Industrial Network and Information System Security Jinan250353 China China University of Mining and Technology Engineering Research Center of Intelligent Control for Underground Space Ministry of Education Xuzhou Key Laboratory of Artificial Intelligence and Big Data School of Information and Control Engineering Xuzhou221116 China South China University of Technology Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information School of Computer Science and Engineering Guangzhou510006 China Pazhou Lab Guangzhou510335 China Engineering Research Center Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human Guangzhou China
Emotion recognition in conversation (ERC) aims at accurately identifying emotional states expressed in conversational content. Existing ERC methods, although relying on semantic understanding, often encounter challeng... 详细信息
来源: 评论
Coal Mine Image Dust and Fog Clearing Algorithm Based on Deep Learning Network  2022
Coal Mine Image Dust and Fog Clearing Algorithm Based on Dee...
收藏 引用
4th Asia Pacific Information technology Conference, APIT 2022
作者: Feng, Wenbin Tong, Xin Yang, Xin Chen, Xiuxin Yu, Chongchong Shenyang Research Institute Co. Ltd. China Science and Industry Group Shenfu Demonstration Area of Liaoning 113122 China State Key Laboratory of Coal Mine Safety Technology Shenfu Demonstration Area of Liaoning 113122 China School of Artificial Intelligence Beijing Technology and Business University Beijing100048 China China Light Industry Key Laboratory of Industrial Internet and Big Data Beijing100048 China
The purpose of coal mine dust fog image sharpening is to recover clear content from low visibility images. In response to the problems of over-enhancement and insufficient applicability of traditional image defogging ... 详细信息
来源: 评论
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
arXiv
收藏 引用
arXiv 2024年
作者: Ding, Chuntao Cao, Xu Xie, Jianhang Fan, Linlin Wang, Shangguang Lu, Zhichao School of Artificial Intelligence Beijing Normal University Beijing China Key Laboratory of Big Data & Artificial Intelligence in Transportation Ministry of Education with School of Computer Science and Technology Beijing Jiaotong University Beijing100044 China School of Computer and Information Engineering Henan Normal University Henan453007 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Department of Computer Science City University of Hong Kong HKSAR Hong Kong
Efficient fine-tuning of pre-trained convolutional neural network (CNN) models using local data is essential for providing high-quality services to users using ubiquitous and resource-limited Internet of Things (IoT) ... 详细信息
来源: 评论
A Comparative Study of Cross-Sentence Features for Named Entity Recognition
A Comparative Study of Cross-Sentence Features for Named Ent...
收藏 引用
Innovations and Development of Information Technologies and Robotics (IDITR), International Conference on
作者: Sheng-Fu Wang Jing Huang Baohua Zhang Jia Li School of Computer Science and Technology Beijing Institute of Technology Beijing China Huajian eTone Language Technology (Beijing) Co. Ltd State Key Laboratory of Media Convergence Production Technology and Systems China Xinhua New Media Culture Communication Co. Ltd Big Data&Artificial Intelligence Laboratory Industrial and Commercial Bank of China Shanghai China
Recently, a growing number of Named Entity Recognition (NER) methods utilize cross-sentence features (also known as contexts) to improve the performance of NER models, instead of using single-sentence information alon...
来源: 评论
EC²Detect: Real-Time Online Video Object Detection in Edge-Cloud Collaborative IoT
收藏 引用
IEEE Internet of Things Journal 2022年 第20期9卷 20382-20392页
作者: Siyan Guo Cong Zhao Guiqin Wang Jiaqing Yang Shusen Yang National Engineering Laboratory for Big Data Analytics and the School of Mathematics and Statistics Xi’an Jiaotong University Xi’an China Department of Computing Imperial College London London U.K. National Engineering Laboratory for Big Data Analytics and the School of Computer Science and Technology Xi’an Jiaotong University Xi’an China School of Mathematics and Statistics Xi’an Jiaotong University Xi’an China National Engineering Laboratory for Big Data Analytics and Ministry of Education Key Laboratory for Intelligent Networks and Network Security Xi’an Jiaotong University Xi’an China Industrial Artificial Intelligence Center Pazhou Laboratory Guangzhou China
Video object detection is a fundamental technology of intelligent video analytics for Internet of Things (IoT) applications. However, even with extraordinary detection accuracy, predominating solutions based on deep c... 详细信息
来源: 评论