咨询与建议

限定检索结果

文献类型

  • 13,205 篇 会议
  • 218 篇 期刊文献
  • 58 册 图书
  • 3 篇 学位论文
  • 1 篇 资讯

馆藏范围

  • 13,485 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 7,033 篇 工学
    • 4,653 篇 计算机科学与技术...
    • 2,295 篇 软件工程
    • 2,120 篇 电气工程
    • 1,334 篇 信息与通信工程
    • 867 篇 控制科学与工程
    • 689 篇 光学工程
    • 503 篇 生物医学工程(可授...
    • 470 篇 电子科学与技术(可...
    • 469 篇 机械工程
    • 462 篇 仪器科学与技术
    • 336 篇 生物工程
    • 242 篇 测绘科学与技术
    • 167 篇 材料科学与工程(可...
    • 160 篇 航空宇航科学与技...
    • 145 篇 交通运输工程
    • 107 篇 安全科学与工程
    • 92 篇 化学工程与技术
  • 3,497 篇 理学
    • 2,406 篇 物理学
    • 932 篇 数学
    • 394 篇 生物学
    • 249 篇 系统科学
    • 240 篇 统计学(可授理学、...
    • 122 篇 化学
  • 1,508 篇 医学
    • 1,336 篇 临床医学
    • 210 篇 特种医学
    • 171 篇 基础医学(可授医学...
    • 111 篇 药学(可授医学、理...
  • 725 篇 管理学
    • 438 篇 管理科学与工程(可...
    • 311 篇 图书情报与档案管...
    • 89 篇 工商管理
  • 62 篇 法学
  • 61 篇 农学
  • 30 篇 教育学
  • 29 篇 经济学
  • 29 篇 文学
  • 20 篇 军事学
  • 18 篇 艺术学
  • 1 篇 哲学

主题

  • 2,760 篇 image processing
  • 1,431 篇 image segmentati...
  • 1,169 篇 signal processin...
  • 617 篇 cameras
  • 616 篇 feature extracti...
  • 585 篇 image edge detec...
  • 568 篇 signal processin...
  • 491 篇 image coding
  • 489 篇 image reconstruc...
  • 469 篇 real-time system...
  • 399 篇 algorithm design...
  • 352 篇 image color anal...
  • 314 篇 pixel
  • 312 篇 image enhancemen...
  • 309 篇 deep learning
  • 307 篇 real time system...
  • 302 篇 image analysis
  • 301 篇 computer archite...
  • 297 篇 hardware
  • 296 篇 object detection

机构

  • 22 篇 signal and image...
  • 20 篇 samara national ...
  • 11 篇 school of electr...
  • 11 篇 samara national ...
  • 11 篇 purdue univ sch ...
  • 11 篇 univ texas san a...
  • 11 篇 school of electr...
  • 10 篇 samara national ...
  • 10 篇 center for signa...
  • 9 篇 information syst...
  • 9 篇 institute of ima...
  • 9 篇 department of el...
  • 8 篇 university of to...
  • 8 篇 university of ch...
  • 8 篇 electrical compu...
  • 8 篇 image processing...
  • 8 篇 information syst...
  • 7 篇 school of electr...
  • 7 篇 king saud univer...
  • 7 篇 tampere univ tec...

作者

  • 19 篇 anon
  • 11 篇 p. pirsch
  • 10 篇 jie yang
  • 10 篇 panetta karen
  • 10 篇 j.m. mendel
  • 10 篇 r. chellappa
  • 9 篇 c.-c.j. kuo
  • 8 篇 frank hannig
  • 8 篇 hannig frank
  • 8 篇 carli m.
  • 8 篇 a. ortega
  • 8 篇 egiazarian karen
  • 7 篇 miller jwv
  • 7 篇 busch christoph
  • 7 篇 semenishchev e.
  • 7 篇 zelensky a.
  • 7 篇 bovik alan c.
  • 7 篇 jerry m. mendel
  • 7 篇 kupriyanov a.v.
  • 7 篇 yves wiaux

语言

  • 13,254 篇 英文
  • 140 篇 其他
  • 78 篇 中文
  • 20 篇 土耳其文
  • 3 篇 西班牙文
  • 3 篇 葡萄牙文
  • 2 篇 俄文
  • 1 篇 法文
检索条件"任意字段=Conference on Image Processing - Algorithms and Systems IV"
13485 条 记 录,以下是51-60 订阅
排序:
A Novel Visual Communication Scenario Based on image processing algorithms  2
A Novel Visual Communication Scenario Based on Image Process...
收藏 引用
2nd International conference on Machine Learning and Autonomous systems, ICMLAS 2025
作者: Yang, Jinhua Hou, Li Xijing University Shaanxi Xi'an710123 China
In order to comply with the trend of intelligent visual communication, this study proposed an innovative visual communication scenario based on image processing algorithms. The framework aims to optimize traditional k... 详细信息
来源: 评论
An Investigation on Classical Methods and Unsupervised Deep Learning algorithms for image Segmentation in High Variance images for Industrial Application  35
An Investigation on Classical Methods and Unsupervised Deep ...
收藏 引用
35th Irish systems and Signals conference, ISSC 2024
作者: Henry, Nathan Reiter, Tamas
This paper investigates classical image processing techniques and unsupervised deep learning algorithms for segmenting images with high variance for an under researched industrial problem, focusing on beam burns gener... 详细信息
来源: 评论
Detecting Multiple Mental Health Disorders with Large Language Models  28
Detecting Multiple Mental Health Disorders with Large Langua...
收藏 引用
28th International conference on Information Visualisation (iv)
作者: Nanda, Mehul Inkpen, Diana Dargel, Aroldo Univ Ottawa Ottawa ON Canada Ottawa Hosp Ottawa ON Canada
Artificial Intelligence systems have become useful in many sectors, including healthcare. In this paper, we focus on detecting signs of mental health disorders from social media texts. This can be used to direct patie... 详细信息
来源: 评论
Classification of Red Watermelon Varieties Using Canny Edge Detection and CNN
Classification of Red Watermelon Varieties Using Canny Edge ...
收藏 引用
IEEE International conference on Automatic Control and Intelligent systems (I2CACIS)
作者: Martinez, Milca Rejaiah B. Dayrit, Kian Matthew D. Yumang, Analyn N. Mapua Univ Sch Elect Elect & Comp Engn Manila Philippines
Watermelon is a commonly cultivated fruit worldwide, especially in Southeast Asia. As one of the top exports in Asia, the commercialization of watermelon has its market. Its consumer appeal makes it one of the most so... 详细信息
来源: 评论
The application of deep learning algorithms in power system load forecasting  6
The application of deep learning algorithms in power system ...
收藏 引用
6th International conference on Wireless Communications and Smart Grid, ICWCSG 2024
作者: Wang, Shilin Cui, Wei Yang, Yang Meng, Xiangliang State Grid Information & Telecommunication Group Co. Ltd. No. 10 Xuanwumen Outer Street Xicheng District 95555-0345 Beijing100029 China
This article explores the application of deep learning (DL) algorithms in power system load forecasting. With the continuous advancement of the construction of new power systems, traditional load forecasting models de... 详细信息
来源: 评论
Identification of a Person Based on Block processing of a Signature image
Identification of a Person Based on Block Processing of a Si...
收藏 引用
2024 International Russian Smart Industry conference, SmartIndustryCon 2024
作者: Rizaev, Ildus Takhavova, Elza Shleimovich, Mikhail Kazan National Research Technical University Named after A.N. Tupolev-KAI Automated Systems for Information Processing and Control Department Kazan Russia
The development of computer vision systems stimulates the development of various applications in the field of image recognition. Methods and algorithms for image recognition in document processing systems play a cruci... 详细信息
来源: 评论
The Disease Prediction System based on Symptom Identification and image processing
The Disease Prediction System based on Symptom Identificatio...
收藏 引用
2024 International conference on Communication, Computer Sciences and Engineering, IC3SE 2024
作者: Swathi, M. Prithika, N.G. Sri Aishwariya, N. Jayaram, B. Dept.of.Computer Science And Business Systems Rmk Engineering College Thiruvallur India Dept.of.Computer Science And Business Systems Rmk Engineering College Thiruvallur India
This paper aims to investigate a system that uses various machine-learning algorithms to predict symptoms and deep-learning techniques for image processing that leads to early disease prediction, an essential aspect o... 详细信息
来源: 评论
Beyond RGB: A Real World Dataset for Multispectral Imaging in Mobile Devices
Beyond RGB: A Real World Dataset for Multispectral Imaging i...
收藏 引用
IEEE/CVF Winter conference on Applications of Computer Vision (WACV)
作者: Glatt, Ortal Ater, Yotam Kim, Woo-Shik Werman, Shira Berby, Oded Zini, Yael Zelinger, Shay Lee, Sangyoon Choi, Heejin Soloveichik, Evgeny Samsung Israel R&D Ctr Tel Aviv Israel Samsung Adv Inst Technol Suwon South Korea
Multispectral (MS) imaging systems have a wide range of applications for computer vision and computational photography tasks, but do not yet enjoy widespread adoption due to their prohibitive costs. Recently, advances... 详细信息
来源: 评论
Practical real-time image compression for resource-challenged devices
Practical real-time image compression for resource-challenge...
收藏 引用
conference on Multimodal image Exploitation and Learning
作者: Pham, Kevin Depoian, Arthur C., II Bailey, Colleen P. Univ North Texas Dept Elect Engn Denton TX 76207 USA
In the era of rapidly expanding image data, the demand for improved image compression algorithms has grown significantly, particularly with the integration of deep learning approaches into traditional image processing... 详细信息
来源: 评论
An Adaptive and Interpretable Framework for Biomedical image Analysis  57
An Adaptive and Interpretable Framework for Biomedical Image...
收藏 引用
57th Asilomar conference on Signals, systems and Computers
作者: Singh, Samarth Acton, Scott T. Moosa, Shayan Sheybani, Natasha D. Univ Virginia Dept Biomed Engn Charlottesville VA 22903 USA Univ Virginia Dept Elect & Comp Engn Charlottesville VA 22903 USA Univ Virginia Hlth Syst Dept Neurosurg Charlottesville VA USA
Biomedical image analysis has benefited tremendously from the advent of artificial intelligence. Machine learning and deep learning-based algorithms are increasingly utilized in real time to assist clinicians with mak... 详细信息
来源: 评论