咨询与建议

限定检索结果

文献类型

  • 2,264 篇 会议
  • 1,143 篇 期刊文献
  • 74 篇 学位论文
  • 72 册 图书
  • 12 篇 科技报告

馆藏范围

  • 3,565 篇 电子文献
  • 4 种 纸本馆藏

日期分布

学科分类号

  • 2,478 篇 工学
    • 1,846 篇 计算机科学与技术...
    • 851 篇 软件工程
    • 820 篇 电气工程
    • 449 篇 信息与通信工程
    • 277 篇 控制科学与工程
    • 253 篇 光学工程
    • 249 篇 生物工程
    • 187 篇 生物医学工程(可授...
    • 156 篇 电子科学与技术(可...
    • 98 篇 材料科学与工程(可...
    • 93 篇 机械工程
    • 93 篇 仪器科学与技术
    • 50 篇 化学工程与技术
    • 46 篇 动力工程及工程热...
    • 46 篇 测绘科学与技术
    • 37 篇 网络空间安全
    • 34 篇 安全科学与工程
  • 1,074 篇 理学
    • 606 篇 物理学
    • 307 篇 生物学
    • 299 篇 数学
    • 82 篇 化学
    • 69 篇 统计学(可授理学、...
    • 34 篇 地球物理学
  • 419 篇 医学
    • 319 篇 临床医学
    • 160 篇 基础医学(可授医学...
    • 59 篇 药学(可授医学、理...
  • 301 篇 管理学
    • 202 篇 管理科学与工程(可...
    • 109 篇 图书情报与档案管...
    • 39 篇 工商管理
  • 63 篇 农学
    • 44 篇 作物学
  • 24 篇 法学
  • 15 篇 教育学
  • 9 篇 经济学
  • 6 篇 文学
  • 5 篇 艺术学
  • 2 篇 哲学
  • 2 篇 军事学
  • 1 篇 历史学

主题

  • 623 篇 neural networks
  • 581 篇 artificial neura...
  • 456 篇 image processing
  • 390 篇 deep learning
  • 370 篇 convolutional ne...
  • 282 篇 artificial intel...
  • 255 篇 feature extracti...
  • 200 篇 machine learning
  • 191 篇 training
  • 155 篇 image segmentati...
  • 138 篇 computer vision
  • 119 篇 image classifica...
  • 118 篇 image recognitio...
  • 115 篇 accuracy
  • 107 篇 neurons
  • 107 篇 deep neural netw...
  • 94 篇 computational mo...
  • 88 篇 neural network
  • 85 篇 object detection
  • 83 篇 pattern recognit...

机构

  • 9 篇 univ chinese aca...
  • 8 篇 northwestern uni...
  • 7 篇 u.s. army resear...
  • 6 篇 univ shanghai sc...
  • 5 篇 school of comput...
  • 5 篇 univ chinese aca...
  • 5 篇 xidian univ sch ...
  • 5 篇 univ shanghai sc...
  • 5 篇 incept inst arti...
  • 5 篇 chitkara univers...
  • 5 篇 university of wi...
  • 5 篇 democritus unive...
  • 5 篇 huazhong univ sc...
  • 5 篇 xidian univ sch ...
  • 5 篇 univ elect sci &...
  • 4 篇 mit comp sci & a...
  • 4 篇 university of ch...
  • 4 篇 beijing institut...
  • 4 篇 chinese acad sci...
  • 4 篇 peng cheng lab p...

作者

  • 12 篇 nasrabadi nasser...
  • 6 篇 gu min
  • 6 篇 a. rodriguez-vaz...
  • 6 篇 zhai guangtao
  • 6 篇 rosenfeld a
  • 6 篇 shao ling
  • 5 篇 giron alain
  • 5 篇 zamir syed waqas
  • 5 篇 zeng zhigang
  • 5 篇 khan fahad shahb...
  • 5 篇 rizvi syed a.
  • 5 篇 jiao licheng
  • 5 篇 fertil bernard
  • 5 篇 brahmi djamel
  • 5 篇 rogers steven k.
  • 5 篇 shafique muhamma...
  • 5 篇 khan salman
  • 5 篇 zhang chi
  • 5 篇 hayat munawar
  • 5 篇 gelenbe e

语言

  • 3,335 篇 英文
  • 106 篇 其他
  • 102 篇 中文
  • 21 篇 土耳其文
  • 5 篇 德文
  • 2 篇 法文
  • 1 篇 西班牙文
  • 1 篇 朝鲜文
检索条件"任意字段=Applications of Artificial Neural Networks in Image Processing VII"
3565 条 记 录,以下是71-80 订阅
排序:
Proton-Gated Synaptic Transistors, Based on an Electron-Beam Patterned Nafion Electrolyte
收藏 引用
ACS APPLIED MATERIALS & INTERFACES 2023年 第15期15卷 19279-19289页
作者: Mohanty, Himadri Nandan Tsuruoka, Tohru Mohanty, Jyoti Ranjan Terabe, Kazuya Indian Inst Technol Hyderabad Dept Phys Nanomagnetism & Microscopy Lab Sangareddy 502285 Telangana India Natl Inst Mat Sci Res Ctr Mat Nanoarchitecton Tsukuba Ibaraki 305004 Japan
Neuromorphic processors using artificial neural networks are the center of attention for energy-efficient analog computing. artificial synapses act as building blocks in such neural networks for parallel information p... 详细信息
来源: 评论
Patch- and Class-Wise Hyperspectral Knowledge Learning: A Composite Consistency-Constrained Self-Ensemble Framework for Change Detection
收藏 引用
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2025年 63卷
作者: Zhao, Xiaoyang Li, Siyao Liu, Xinyue Song, Chuanming Wang, Xianghai Liaoning Normal Univ Sch Geog Sci Dalian 116029 Peoples R China Liaoning Normal Univ Sch Comp & Artificial Intelligence Dalian 116029 Peoples R China Dalian Univ Sch Informat Engn Dalian 116622 Peoples R China
Obtaining fine land surface change information from multitemporal hyperspectral images (HSIs) is a key goal pursued in remote sensing image processing. Recently, HSI change detection (HSI-CD) methods based on convolut... 详细信息
来源: 评论
DLSIA: Deep Learning for Scientific image Analysis
收藏 引用
JOURNAL OF APPLIED CRYSTALLOGRAPHY 2024年 第2期57卷 392-402页
作者: Roberts, Eric J. Chavez, Tanny Hexemer, Alexander Zwart, Petrus H. Lawrence Berkeley Natl Lab Ctr Adv Math Energy Res Applicat Berkeley CA 94720 USA Lawrence Berkeley Natl Lab Mol Biophys & Integrated Bioimaging Div Berkeley CA 94720 USA Lawrence Berkeley Natl Lab Adv Light Source Berkeley CA 94720 USA Lawrence Berkeley Natl Lab Berkeley Synchrotron Infrared Struct Biol Program Berkeley CA 94720 USA
DLSIA (Deep Learning for Scientific image Analysis) is a Python-based machine learning library that empowers scientists and researchers across diverse scientific domains with a range of customizable convolutional neur... 详细信息
来源: 评论
AutoFace: How to Obtain Mobile neural Network-Based Facial Feature Extractor in Less Than 10 Minutes?
收藏 引用
IEEE ACCESS 2024年 12卷 25106-25118页
作者: Savchenko, Andrey V. Sber AI Lab Moscow 117312 Russia HSE Univ Lab Algorithms & Technol Network Anal Nizhnii Novgorod 603155 Russia
Various mobile and edge devices have significantly different processing capabilities, making it challenging to develop a single universal architecture of a neural network to extract facial embeddings. In this paper, w... 详细信息
来源: 评论
Topological Signal processing Over Generalized Cell Complexes
收藏 引用
IEEE TRANSACTIONS ON SIGNAL processing 2024年 72卷 687-700页
作者: Sardellitti, Stefania Barbarossa, Sergio Sapienza Univ Rome Dept Informat Engn Elect & Telecommun I-00184 Rome Italy
Topological Signal processing (TSP) over simplicial complexes is a framework that has been recently proposed, as a generalization of graph signal processing (GSP), to extend GSP to analyzing signals defined over sets ... 详细信息
来源: 评论
image Classification with Regularized Likelihood Estimation and Large Interval Discriminant Dimensionality Reduction
收藏 引用
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 2025年 第2期41卷 385-400页
作者: Shen, Ying Zhu, Wei-hua Fu, Si-yong Wu, Guang-sheng Xinyu Univ Zhongxing Commun & Informat Coll Xinyu 338004 Peoples R China Xinyu Univ Sch Math & Comp Sci Xinyu 338004 Peoples R China
With the expansion of image application scale and the development of artificial intelligence industry, the demand for high precision and high robustness of image feature expression is gradually increasing. Convolution... 详细信息
来源: 评论
From methods to datasets: A survey on image-Caption Generators
收藏 引用
MULTIMEDIA TOOLS AND applications 2024年 第9期83卷 28077-28123页
作者: Agarwal, Lakshita Verma, Bindu Delhi Technol Univ Dept Informat Technol Delhi 110042 India
image - Caption Generator is a popular artificial Intelligence research tool that works with image comprehension and language definition. Creating well-structured sentences requires a thorough understanding of languag... 详细信息
来源: 评论
Role of Convolutional neural networks in Hyperspectral Imaging applications: A Review  1
收藏 引用
4th Congress on Intelligent Systems (CIS)
作者: Lanke, Neha P. Chandak, M. B. Shri Ramdeobaba Coll Engn & Management Nagpur Maharashtra India
In last few years, considerable improvements have been made in digital image acquisition and processing, improving image quality and results. However, hyperspectral imaging techniques evolved to gain more valuable inf... 详细信息
来源: 评论
The use of physics-informed neural network approach to image restoration via nonlinear PDE tools
收藏 引用
COMPUTERS & MATHEMATICS WITH applications 2023年 152卷 355-363页
作者: Namaki, Neda Eslahchi, M. R. Salehi, Rezvan Tarbiat Modares Univ Fac Math Sci Dept Appl Math POB 14115134 Tehran Iran
In this work, we propose a physics-informed solution for a blending PDE model with application in image denoising and edge-preserving. The blending model contains isotropic diffusion (ID) model and the modified Perona... 详细信息
来源: 评论
RCT: Resource Constrained Training for Edge AI
收藏 引用
IEEE TRANSACTIONS ON neural networks AND LEARNING SYSTEMS 2024年 第2期35卷 2575-2587页
作者: Huang, Tian Luo, Tao Yan, Ming Zhou, Joey Tianyi Goh, Rick ASTAR Inst High Performance Comp Singapore 138632 Singapore ASTAR Ctr Frontier AI Res Singapore 138632 Singapore
Efficient neural network training is essential for in situ training of edge artificial intelligence (AI) and carbon footprint reduction in general. Train neural network on the edge is challenging because there is a la... 详细信息
来源: 评论