咨询与建议

限定检索结果

文献类型

  • 2,942 篇 会议
  • 39 篇 期刊文献
  • 6 册 图书

馆藏范围

  • 2,987 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,753 篇 工学
    • 1,402 篇 计算机科学与技术...
    • 683 篇 软件工程
    • 488 篇 电气工程
    • 394 篇 信息与通信工程
    • 200 篇 控制科学与工程
    • 130 篇 生物工程
    • 78 篇 电子科学与技术(可...
    • 65 篇 生物医学工程(可授...
    • 58 篇 机械工程
    • 54 篇 仪器科学与技术
    • 48 篇 光学工程
    • 33 篇 网络空间安全
    • 30 篇 动力工程及工程热...
    • 24 篇 安全科学与工程
    • 23 篇 材料科学与工程(可...
    • 22 篇 化学工程与技术
    • 20 篇 测绘科学与技术
    • 19 篇 石油与天然气工程
  • 515 篇 理学
    • 225 篇 物理学
    • 188 篇 数学
    • 143 篇 生物学
    • 57 篇 统计学(可授理学、...
    • 40 篇 系统科学
    • 27 篇 化学
  • 203 篇 管理学
    • 135 篇 管理科学与工程(可...
    • 81 篇 图书情报与档案管...
    • 31 篇 工商管理
  • 135 篇 医学
    • 112 篇 临床医学
    • 38 篇 基础医学(可授医学...
  • 37 篇 法学
    • 20 篇 社会学
  • 18 篇 文学
  • 14 篇 农学
  • 10 篇 教育学
  • 9 篇 经济学
  • 2 篇 军事学

主题

  • 590 篇 neural networks
  • 173 篇 training
  • 167 篇 artificial neura...
  • 163 篇 deep learning
  • 135 篇 computational mo...
  • 122 篇 feature extracti...
  • 115 篇 neural network
  • 113 篇 convolutional ne...
  • 88 篇 machine learning
  • 86 篇 parallel process...
  • 86 篇 neurons
  • 79 篇 deep neural netw...
  • 74 篇 computer archite...
  • 73 篇 distributed comp...
  • 65 篇 signal processin...
  • 62 篇 distributed proc...
  • 61 篇 accuracy
  • 60 篇 recurrent neural...
  • 55 篇 data models
  • 49 篇 convolutional ne...

机构

  • 11 篇 institute of inf...
  • 9 篇 school of cyber ...
  • 8 篇 univ chinese aca...
  • 8 篇 natl univ def te...
  • 7 篇 college of compu...
  • 7 篇 carnegie mellon ...
  • 7 篇 national laborat...
  • 7 篇 beijing universi...
  • 7 篇 natl univ def te...
  • 6 篇 shanghai jiao to...
  • 6 篇 the islamic univ...
  • 6 篇 department of co...
  • 5 篇 science and tech...
  • 5 篇 ibm tj watson re...
  • 5 篇 school of inform...
  • 5 篇 king saud univer...
  • 5 篇 shandong normal ...
  • 5 篇 kaust thuwal
  • 5 篇 university of ch...
  • 5 篇 natl univ def te...

作者

  • 8 篇 li dongsheng
  • 8 篇 dou yong
  • 8 篇 jie liu
  • 6 篇 richtarik peter
  • 6 篇 ribeiro alejandr...
  • 6 篇 liu jie
  • 6 篇 niu xin
  • 6 篇 yong dou
  • 6 篇 shulian yang
  • 6 篇 zhang wei
  • 5 篇 ryabinin max
  • 5 篇 segarra santiago
  • 5 篇 lai zhiquan
  • 5 篇 ding bo
  • 5 篇 qiao peng
  • 5 篇 xu jiren
  • 5 篇 kokkinos yiannis
  • 5 篇 peng yuxing
  • 5 篇 wang huaimin
  • 5 篇 li aiping

语言

  • 2,932 篇 英文
  • 47 篇 其他
  • 8 篇 中文
  • 2 篇 土耳其文
检索条件"任意字段=Conference on Neural Network and Distributed Processing"
2987 条 记 录,以下是291-300 订阅
排序:
5th International conference on 3D Imaging Technologies—Multidimensional Signal processing and Deep Learning, 3DIT-MSP and DL 2023
5th International Conference on 3D Imaging Technologies—Mul...
收藏 引用
5th International conference on 3D Imaging Technologies—Multidimensional Signal processing and Deep Learning, 3DIT-MSP and DL 2023
The proceedings contain 59 papers. The special focus in this conference is on 3D Imaging Technologies—Multidimensional Signal processing and Deep Learning. The topics include: Digital Twin Technology Approach Based o...
来源: 评论
Panoramic Video Quality Assessment Based on Spatial-Temporal Convolutional neural networks  8th
Panoramic Video Quality Assessment Based on Spatial-Temporal...
收藏 引用
8th International conference on Signal and Information processing, network and Computers, ICSINC 2021
作者: An, Tingting Sun, Songlin Liu, Rui School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Trusted Distributed Computing and Services Ministry of Education Key Laboratory Beijing China San Jose State University San JoseCA95192 United States
The development of 5G technology and Ultra HD video provide the basis for panoramic video, namely virtual reality (VR). At present, the traditional VQA method is not effective on panoramic video. Therefore, it is cruc... 详细信息
来源: 评论
Examining Transfer Learning with neural network and Bidirectional neural network on Thermal Imaging for Deception Recognition  28th
Examining Transfer Learning with Neural Network and Bidirect...
收藏 引用
28th International conference on neural Information processing
作者: Qin, Zishan Zhu, Xuanying Gedeon, Tom Australian Natl Univ Canberra ACT Australia Curtin Univ Perth WA Australia
Deception is a common feature in our daily life, which can be recognised by thermal imaging. Previous research has attempted to identify deception with causality features extracted from thermal images using the extend... 详细信息
来源: 评论
Evaluating a Deep Learning Model for Cyberattack Detection Based on network Traffic  5th
Evaluating a Deep Learning Model for Cyberattack Detection B...
收藏 引用
5th International conference on Cognitive Computing and Information processing, CCIP 2023
作者: Ha, Muon Tran, Duc–Manh Telecommunications University Nha Trang Viet Nam St. Petersburg State Electrotechnical University St. Petersburg Russia
In the current digital era, distributed Denial of Service (DDoS) attacks can be recognized as a prevalent and perilous network threat, posing substantial risks to both organizations and individuals. Consequently, the ... 详细信息
来源: 评论
DMAP: a distributed Morphological Attention Policy for Learning to Locomote with a Changing Body  36
DMAP: a Distributed Morphological Attention Policy for Learn...
收藏 引用
36th conference on neural Information processing Systems (NeurIPS)
作者: Chiappa, Alberto Silvio Vargas, Alessandro Marin Mathis, Alexander Ecole Polytech Fed Lausanne CH-1015 Lausanne Switzerland
Biological and artificial agents need to deal with constant changes in the real world. We study this problem in four classical continuous control environments, augmented with morphological perturbations. Learning to l... 详细信息
来源: 评论
CDCP: A Framework for Accelerating Dynamic Channel Pruning Methods  29
CDCP: A Framework for Accelerating Dynamic Channel Pruning M...
收藏 引用
29th IEEE International conference on Parallel and distributed Systems, ICPADS 2023
作者: Xiang, Zhaohong Luo, Yigui Xie, Yin She, Haihong Liang, Weiming Zhao, Laigang Tongji University School of Software Engineering Shanghai China Company Limited China
Dynamic channel pruning is a technique aimed at reducing the theoretical computational complexity and inference latency of convolutional neural networks. Dynamic channel pruning methods introduce complex additional mo... 详细信息
来源: 评论
HKTGNN: Hierarchical Knowledge Transferable Graph neural network-based Supply Chain Risk Assessment  21
HKTGNN: Hierarchical Knowledge Transferable Graph Neural Net...
收藏 引用
21st IEEE International Symposium on Parallel and distributed processing with Applications, 13th IEEE International conference on Big Data and Cloud Computing, 16th IEEE International conference on Social Computing and networking and 13th International conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023
作者: Zhou, Zhanting Bi, Kejun Zhong, Yuyanzhen Tang, Chao Li, Dongfen Ying, Shi Wang, Ruijin University of Electronic Science and Technology of China School of Information Science and Engineering Chengdu China Sichuan University School of Computer Science Chengdu China Chongqing Ceprei Industrial Technology Research Institute Co. Ltd. Chongqing China Sichuan Changhong Electronic Holding Group Co. Ltd. Chengdu China Chengdu University of Technology College of Computer Science and Cyber Security Chengdu China Wuhan University School of Computer Science Wuhan China
The strength of a supply chain is an important measure of a country's or region's technical advancement and overall competitiveness. Establishing supply chain risk assessment models for effective management an... 详细信息
来源: 评论
52nd International conference on Parallel processing, ICPP 2023 - Main conference Proceedings
52nd International Conference on Parallel Processing, ICPP 2...
收藏 引用
52nd International conference on Parallel processing, ICPP 2023
The proceedings contain 82 papers. The topics discussed include: EC-SpMM: efficient compilation of SpMM kernel on GPUs;minimizing network and storage costs for consensus with flexible erasure coding;SNICIT: accelerati...
来源: 评论
Language Models as Zero-shot Lossless Gradient Compressors: Towards General neural Parameter Prior Models  38
Language Models as Zero-shot Lossless Gradient Compressors: ...
收藏 引用
38th conference on neural Information processing Systems, NeurIPS 2024
作者: Wang, Hui-Po Fritz, Mario CISPA Helmholtz Center for Information Security Germany
Despite the widespread use of statistical prior models in various fields, such models for neural network gradients have long been overlooked. The inherent challenge stems from their high-dimensional structures and com...
来源: 评论
Joint Partitioning and Sampling Algorithm for Scaling Graph neural network  29
Joint Partitioning and Sampling Algorithm for Scaling Graph ...
收藏 引用
29th Annual IEEE International conference on High Performance Computing, Data, and Analytics (HiPC)
作者: Das, Manohar Lal Jatala, Vishwesh Gupta, Gagan Raj Indian Inst Technol Bhilai Dept EECS Raipur Madhya Pradesh India
Graph neural network (GNN) has emerged as a popular toolbox for solving complex problems on graph data structures. Graph neural networks use machine learning techniques to learn the vector representations of nodes and... 详细信息
来源: 评论