咨询与建议

限定检索结果

文献类型

  • 5,901 篇 会议
  • 82 篇 期刊文献
  • 33 册 图书

馆藏范围

  • 6,016 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 3,639 篇 工学
    • 2,996 篇 计算机科学与技术...
    • 1,522 篇 软件工程
    • 940 篇 信息与通信工程
    • 841 篇 电气工程
    • 714 篇 生物工程
    • 395 篇 生物医学工程(可授...
    • 388 篇 光学工程
    • 366 篇 控制科学与工程
    • 144 篇 电子科学与技术(可...
    • 129 篇 机械工程
    • 105 篇 仪器科学与技术
    • 102 篇 网络空间安全
    • 100 篇 安全科学与工程
    • 86 篇 化学工程与技术
    • 75 篇 动力工程及工程热...
    • 69 篇 交通运输工程
  • 1,468 篇 理学
    • 755 篇 生物学
    • 649 篇 物理学
    • 355 篇 数学
    • 126 篇 统计学(可授理学、...
    • 99 篇 化学
  • 748 篇 医学
    • 660 篇 临床医学
    • 185 篇 基础医学(可授医学...
    • 122 篇 药学(可授医学、理...
    • 82 篇 特种医学
    • 66 篇 公共卫生与预防医...
  • 514 篇 管理学
    • 276 篇 管理科学与工程(可...
    • 274 篇 图书情报与档案管...
    • 75 篇 工商管理
  • 89 篇 农学
    • 86 篇 作物学
  • 49 篇 法学
  • 34 篇 教育学
  • 18 篇 经济学
  • 9 篇 军事学
  • 8 篇 文学
  • 2 篇 艺术学
  • 1 篇 哲学

主题

  • 1,167 篇 convolutional ne...
  • 1,130 篇 deep learning
  • 902 篇 neural networks
  • 647 篇 machine learning
  • 623 篇 training
  • 495 篇 feature extracti...
  • 346 篇 accuracy
  • 275 篇 computational mo...
  • 249 篇 image classifica...
  • 246 篇 image segmentati...
  • 245 篇 image processing
  • 225 篇 computer vision
  • 218 篇 image recognitio...
  • 190 篇 deep neural netw...
  • 181 篇 visualization
  • 169 篇 transfer learnin...
  • 159 篇 computer archite...
  • 158 篇 convolution
  • 148 篇 artificial neura...
  • 147 篇 support vector m...

机构

  • 22 篇 chitkara univers...
  • 9 篇 karnataka bangal...
  • 9 篇 university of el...
  • 8 篇 school of comput...
  • 8 篇 carnegie mellon ...
  • 8 篇 school of comput...
  • 7 篇 shanghai jiao to...
  • 7 篇 tech univ munich...
  • 6 篇 maharishi school...
  • 6 篇 school of comput...
  • 6 篇 univ chinese aca...
  • 6 篇 king saud univer...
  • 6 篇 department of co...
  • 6 篇 swiss fed inst t...
  • 6 篇 alibaba grp peop...
  • 6 篇 maharishi school...
  • 6 篇 nanyang technolo...
  • 5 篇 university of sc...
  • 5 篇 penn state univ ...
  • 5 篇 ibm tj watson re...

作者

  • 7 篇 mohana
  • 7 篇 roy kaushik
  • 6 篇 de-shuang huang
  • 6 篇 gokhan bilgin
  • 6 篇 rueckert daniel
  • 6 篇 liu chang
  • 6 篇 eyas el-qawasmeh
  • 6 篇 hu clj
  • 5 篇 li li
  • 5 篇 samek wojciech
  • 5 篇 kukreja vinay
  • 5 篇 goceri evgin
  • 5 篇 bilgin gokhan
  • 5 篇 choi jungwook
  • 5 篇 evgin goceri
  • 4 篇 yang bin
  • 4 篇 yuvraj
  • 4 篇 wang lei
  • 4 篇 liu yang
  • 4 篇 gopalakrishnan k...

语言

  • 5,781 篇 英文
  • 179 篇 其他
  • 47 篇 中文
  • 34 篇 土耳其文
  • 1 篇 俄文
检索条件"任意字段=Conference on Applications of Neural Networks and Machine Learning in Image Processing IX"
6016 条 记 录,以下是191-200 订阅
排序:
TRAINING AN ARTIFICIAL INTELLIGENCE MODEL FOR THE DETECTION OF GESTURES RELATED TO TRICHOTILLOMANIA  22
TRAINING AN ARTIFICIAL INTELLIGENCE MODEL FOR THE DETECTION ...
收藏 引用
22nd International conference on e-Society 2024, ES 2024 and 20th International conference on Mobile learning 2024, ML 2024
作者: de Gois Paulino, Daniel Victor Costa De Sousa Alves, Robinson Luis Instituto Federal de Educação Ciência e Tecnologia do Rio Grande do Norte Brazil
This article presents an artificial intelligence model capable of identifying actions strongly related to trichotillomania, a psychiatric disorder that causes people to have a desire to pull their hair. The model was ... 详细信息
来源: 评论
Splatting-based Synthesis for Video Frame Interpolation  23
Splatting-based Synthesis for Video Frame Interpolation
收藏 引用
23rd IEEE/CVF Winter conference on applications of Computer Vision (WACV)
作者: Niklaus, Simon Hu, Ping Chen, Jiawen Adobe Res San Jose CA 95110 USA Boston Univ Boston MA USA Adobe Inc San Jose CA USA
Frame interpolation is an essential video processing technique that adjusts the temporal resolution of an image sequence. While deep learning has brought great improvements to the area of video frame interpolation, te... 详细信息
来源: 评论
Deep learning Optimizers for Histological image Classification: A Comparative Study  10
Deep Learning Optimizers for Histological Image Classificati...
收藏 引用
10th International conference on Optimization and applications, ICOA 2024
作者: Haggouni, Jamal Azzouzi, Salma El Hassan Charaf, Moulay Ibn Tofail University LaRI Laboratory Faculty of Sciences Kenitra Morocco
Over the last few years, there has been a great deal of progress in the field of image recognition, using classical or modern methods based on machine learning algorithms. In this context, numerous studies on object d... 详细信息
来源: 评论
An Open-Source and Extensible Framework for Fast Prototyping and Benchmarking of Spiking neural Network Hardware  34
An Open-Source and Extensible Framework for Fast Prototyping...
收藏 引用
34th International conference on Field-Programmable Logic and applications (FPL)
作者: Matinizadeh, Shadi Das, Anup Drexel Univ Philadelphia PA 19104 USA
Spiking neural networks (SNNs) are bioplausible machine learning models that use discrete spikes to encode, compute, and transmit information. Combined with event-driven low-power hardware, SNNs can improve the energy... 详细信息
来源: 评论
A Real-time Demonstrator for image Classification using FPGA-based Logic neural networks
A Real-time Demonstrator for Image Classification using FPGA...
收藏 引用
conference on Real-Time processing of image, Depth, and Video Information
作者: Concha, David Garcia-Espinosa, Francisco J. Ramirez, Ivan Alberto Aranda, Luis Univ Rey Juan Carlos CAPO Res Grp Madrid 28933 Spain
Real-time image processing is a key area of focus, but computationally intensive. neural networks effectively address classification tasks, but they are not always a viable option, particularly in environments where h... 详细信息
来源: 评论
Research on Infrared Target Detection Algorithm Based on Graph Globality
Research on Infrared Target Detection Algorithm Based on Gra...
收藏 引用
9th International conference on Signal and image processing (ICSIP)
作者: Xu, Changhan Li, Xuemei Wu, Qinming Chengdu Univ Technol Chengdu Peoples R China
The current deep learning-based target detection algorithms have problems such as the network perception domain being limited, poor adaptation to scale changes, feature mismatch in feature fusion, and small datasets. ... 详细信息
来源: 评论
Prediction of Breast Cancer Via Deep learning  4th
收藏 引用
4th International conference on 3D Imaging Technologies- Multidimensional Signal processing and Deep learning, 3D IT-MSP and DL 2022
作者: Huang, Yihe College of Software Engineering Chongqing University of Posts and Telecommunications Chongqing China
With the continuous progress of machine learning in image processing, artificial neural networks have more and more applications in medical image processing. Aiming at the method of selecting a BP neural network to re... 详细信息
来源: 评论
Research on image and text in visual communication design under artificial intelligence
Research on image and text in visual communication design un...
收藏 引用
2024 International conference on image, Signal processing, and Pattern Recognition, ISPP 2024
作者: Yuan, Yuanyi Wu, Longjun Zou, Yong Chengdu Technological University Chengdu China
The paper examines the integration of AI in visual communication design, particularly focusing on the enhanced impact of images when combined with text. It explores the evolution of visual communication design in the ... 详细信息
来源: 评论
A Comparative Study of Deep learning Models for image Super-Resolution Across Various Magnification Levels
A Comparative Study of Deep Learning Models for Image Super-...
收藏 引用
2024 IEEE International conference on Future machine learning and Data Science, FMLDS 2024
作者: Soni, Jayesh Gurappa, Subhash Upadhyay, Himanshu Applied Research Center Florida International University Miami United States Florida International University Department of Electrical and Computer Engineering Miami United States
image Super-Resolution (SR) is a vital image processing technique aimed at improving the resolution of lowresolution images to generate high-resolution images, which is essential in applications such as medical imagin... 详细信息
来源: 评论
Model Uncertainty Estimation Based on a Dual-Module neural Network Architecture  23
Model Uncertainty Estimation Based on a Dual-Module Neural N...
收藏 引用
23rd International conference on machine learning and Cybernetics, ICMLC 2024
作者: Guo, Weiqing Zhang, Tianlun Peng, Dunlu Wang, Debby D. School of Science and Technology Hong Kong Metropolitan Universit Hong Kong Hong Kong School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China
In recent years, deep learning has achieved remarkable success in various fields, including biology and medicine. However, the interpretability and robustness still face challenges, as erroneous predictions can lead t... 详细信息
来源: 评论