咨询与建议

限定检索结果

文献类型

  • 774 篇 期刊文献
  • 756 篇 会议
  • 1 册 图书

馆藏范围

  • 1,531 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 999 篇 工学
    • 749 篇 计算机科学与技术...
    • 622 篇 软件工程
    • 230 篇 信息与通信工程
    • 140 篇 生物工程
    • 134 篇 控制科学与工程
    • 128 篇 电气工程
    • 84 篇 生物医学工程(可授...
    • 72 篇 光学工程
    • 69 篇 机械工程
    • 67 篇 电子科学与技术(可...
    • 44 篇 化学工程与技术
    • 43 篇 仪器科学与技术
    • 38 篇 交通运输工程
    • 35 篇 网络空间安全
    • 29 篇 动力工程及工程热...
    • 23 篇 安全科学与工程
  • 544 篇 理学
    • 316 篇 数学
    • 156 篇 生物学
    • 102 篇 统计学(可授理学、...
    • 89 篇 物理学
    • 55 篇 系统科学
    • 48 篇 化学
  • 310 篇 管理学
    • 180 篇 管理科学与工程(可...
    • 154 篇 图书情报与档案管...
    • 60 篇 工商管理
  • 74 篇 医学
    • 62 篇 临床医学
    • 54 篇 基础医学(可授医学...
    • 37 篇 药学(可授医学、理...
  • 48 篇 法学
    • 40 篇 社会学
  • 27 篇 经济学
    • 26 篇 应用经济学
  • 27 篇 农学
  • 13 篇 教育学
  • 3 篇 艺术学
  • 1 篇 文学

主题

  • 68 篇 semantics
  • 68 篇 feature extracti...
  • 58 篇 training
  • 46 篇 deep learning
  • 38 篇 predictive model...
  • 35 篇 computational mo...
  • 34 篇 accuracy
  • 31 篇 convolution
  • 31 篇 machine learning
  • 30 篇 data models
  • 27 篇 graph neural net...
  • 25 篇 contrastive lear...
  • 21 篇 federated learni...
  • 20 篇 task analysis
  • 20 篇 image segmentati...
  • 20 篇 neural networks
  • 20 篇 visualization
  • 19 篇 convolutional ne...
  • 18 篇 deep neural netw...
  • 17 篇 object detection

机构

  • 72 篇 beijing advanced...
  • 58 篇 shandong provinc...
  • 52 篇 key laboratory o...
  • 46 篇 shandong enginee...
  • 41 篇 national enginee...
  • 38 篇 school of comput...
  • 38 篇 school of cyber ...
  • 34 篇 chongqing key la...
  • 33 篇 key laboratory o...
  • 31 篇 guangdong key la...
  • 29 篇 school of big da...
  • 29 篇 university of ch...
  • 29 篇 peng cheng labor...
  • 27 篇 national enginee...
  • 26 篇 hubei key labora...
  • 26 篇 hubei engineerin...
  • 24 篇 services computi...
  • 24 篇 cluster and grid...
  • 24 篇 school of comput...
  • 23 篇 college of compu...

作者

  • 32 篇 jin hai
  • 28 篇 wang guoyin
  • 22 篇 huang qingming
  • 22 篇 hai jin
  • 20 篇 shen linlin
  • 20 篇 xu qianqian
  • 18 篇 hu shengshan
  • 18 篇 chen yanping
  • 15 篇 yang zhiyong
  • 15 篇 chen huajun
  • 15 篇 liu ya-feng
  • 14 篇 huang sheng
  • 14 篇 wu di
  • 14 篇 zhang leo yu
  • 13 篇 li jianxin
  • 13 篇 li minghui
  • 13 篇 zhou yipeng
  • 12 篇 shang mingsheng
  • 12 篇 xia shuyin
  • 12 篇 yuan ye

语言

  • 1,431 篇 英文
  • 83 篇 其他
  • 35 篇 中文
检索条件"机构=Hebei Key Laboratory of Big Data Computing"
1531 条 记 录,以下是81-90 订阅
排序:
Dual Encoders for Diffusion-based Image Inpainting
Dual Encoders for Diffusion-based Image Inpainting
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Dezhi Zheng Kaijun Deng Jinbao Wang Linlin Shen Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China Guangdong Provincial Key Laboratory of Intelligent Information Processing Shenzhen China
Current diffusion-based inpainting models struggle to preserve unmasked regions or generate highly coherent content. Additionally, it is hard for them to generate meaningful content for 3D inpainting. To tackle these ... 详细信息
来源: 评论
An Unsupervised Malicious Web Request Detection based on Transformer and Contrastive Learning
收藏 引用
IEEE Transactions on Network and Service Management 2025年
作者: He, Shiming Zhang, Ying Liang, Diqing Sharma, Pradip Kumar Changsha University of Science and Technology School of Computer Science and Technology Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha410114 China University of Aberdeen Department of Computing Science AberdeenAB24 3UE United Kingdom
The World Wide Web (Web) is a crucial part of the Internet. Web attacks are becoming more and more serious and complex. Malicious Web request detection aims to rapidly and accurately identify abnormal attacks on the n... 详细信息
来源: 评论
A Clustering-Based Color Reordering Method for Reversible data Hiding in Palette Images
收藏 引用
IET Image Processing 2025年 第1期19卷
作者: Deng, Jianxuan Chen, Yi Wang, Hongxia Guo, Chun Cui, Yunhe Shen, Guowei State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang China Engineering Research Center of Text Computing & Cognitive Intelligence Ministry of Education Guizhou University Guiyang China School of Cyber Science and Engineering Sichuan University Chengdu China
A recent research work pointed out that the reversible data hiding algorithms proposed for gray-scale images can be implemented on the reconstructed palette images to improve embedding capacity and visual quality by r... 详细信息
来源: 评论
multiPI-TransBTS: A multi-path learning framework for brain tumor image segmentation based on multi-physical information
收藏 引用
Computers in Biology and Medicine 2025年 191卷 110148-110148页
作者: Zhu, Hongjun Huang, Jiaohang Chen, Kuo Ying, Xuehui Qian, Ying School of Software Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing Engineering Research Center of Software Quality Assurance Testing and Assessment Chongqing400065 China Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Chongqing400065 China
Brain Tumor Segmentation (BraTS) plays a critical role in clinical diagnosis, treatment planning, and monitoring the progression of brain tumors. However, due to the variability in tumor appearance, size, and intensit... 详细信息
来源: 评论
Hyper-Parameter Optimization and Proxy Re-encryption for Federated Learning  6th
Hyper-Parameter Optimization and Proxy Re-encryption for F...
收藏 引用
6th International Conference on Blockchain and Trustworthy Systems, BlockSys 2024
作者: Du, Wanrong Wen, Bin Ma, Mengshuai Liu, Wenlong Wei, Xiaoxun Key Laboratory of Data Science and Smart Education Ministry of Education Hainan Normal University Haikou571158 China School of Information Science and Technology Hainan Normal University Haikou571158 China Cloud Computing and Big Data Research Center Hainan Normal University Haikou571158 China
Federated learning is a distributed machine learning paradigm that allows multiple participants to collaborate on training a shared model without revealing their own data. However, federated learning faces challenges ... 详细信息
来源: 评论
Replace2Self: Self-Supervised Denoising based on Voxel Replacing and Image Mixing for Diffusion MRI
收藏 引用
IEEE Transactions on Medical Imaging 2025年 PP卷 PP页
作者: Wu, Linhai Wang, Lihui Deng, Zeyu Zhu, Yuemin Wei, Hongjiang Guizhou University Key Laboratory of Advanced Medical Imaging and Intelligent Computing of Guizhou Province Engineering Research Center of Text Computing & Cognitive Intelligence Ministry of Education State Key Laboratory of Public Big Data College of Computer Science and Technology 550025 China Univ Lyon INSA Lyon CNRS Inserm CREATIS UMR 5220 LyonF-69621 France Shanghai Jiao Tong University School of Biomedical Engineering Shanghai200030 China
Low signal to noise ratio (SNR) remains one of the limitations of diffusion weighted (DW) imaging. How to suppress the influence of noise on the subsequent analysis about the tissue microstructure is still challenging... 详细信息
来源: 评论
High-Fidelity Editable Portrait Synthesis with 3D GAN Inversion
High-Fidelity Editable Portrait Synthesis with 3D GAN Invers...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Jindong Xie Jiachen Liu Yupei Lin Jinbao Wang Xianxu Hou Linlin Shen Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen University School of Information Engineering Guangdong University of Technology Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Information Processing School of AI and Advanced Computing Xi’an Jiaotong-Liverpool University
The 3D generative adversarial network (GAN) inversion converts an image into 3D representation to attain high-fidelity reconstruction and facilitate realistic image manipulation within the 3D latent space. However, pr... 详细信息
来源: 评论
DMSACNN: Deep Multiscale Attentional Convolutional Neural Network for EEG-Based Motor Decoding
收藏 引用
IEEE Journal of Biomedical and Health Informatics 2025年 PP卷 PP页
作者: Liu, Ke Xing, Xin Yang, Tao Yu, Zhuliang Xiao, Bin Wang, Guoyin Wu, Wei Chongqing University of Posts and Telecommunications School of Computer Science and Technology Chongqing400065 China Chongqing University of Posts and Telecommunications Key Laboratory of Big Data Intelligent Computing China Chongqing University of Posts and Telecommunications Key Laboratory of Cyberspace Big Data Intelligent Security of Ministry of Education China South China University of Technology College of Automation Science and Engineering Guangzhou510641 China Chongqing Normal University National Center for Applied Mathematics in Chongqing Chongqing401331 China Shanghai Jiao Tong University School of Medicine Songjiang Hospital Songjiang Research Institute Shanghai Key Laboratory of Emotions and Affective Disorders Shanghai201600 China
Objective: Accurate decoding of electroencephalogram (EEG) signals has become more significant for the brain-computer interface (BCI). Specifically, motor imagery and motor execution (MI/ME) tasks enable the control o... 详细信息
来源: 评论
MODFuzz: A Multi-Objective Directed Fuzzer for USB Drivers
收藏 引用
IEEE Internet of Things Journal 2025年
作者: Zhou, Yilin Peng, Guojun Wang, Xingliang Wang, Chenyang Li, Zichuan Liu, Side Wang, Yanhao Yang, Xiuzhang Fu, Jianming Wuhan University Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan430072 China Indiana University Bloomington BloomingtonIN United States Nio Inc Beijing China Guizhou University Guizhou Big Data Academy Guiyang China
USB interfaces have become ubiquitous in various Internet of Things (IoT) devices, all adhering to the same USB protocol. While enhancing convenience, they also widen the potential attack surface. Fuzzing is a proacti... 详细信息
来源: 评论
Dual prototypes contrastive learning based semi-supervised segmentation method for intelligent medical applications
收藏 引用
Engineering Applications of Artificial Intelligence 2025年 154卷
作者: Yue, Tianai Xu, Rongtao Wu, Jingqian Yang, Wenjie Du, Shide Wang, Changwei Johns Hopkins University Baltimore21218 United States Jinan250014 China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan250014 China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The University of Hong Kong 999077 Hong Kong College of Computer and Big Data Fuzhou University Fuzhou350108 China
In medical intelligence applications, the labeling of medical data is crucial and expensive, so it becomes urgent to explore labeling-efficient ways to train applications. Semi-supervised techniques for medical image ... 详细信息
来源: 评论