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211-220 订阅
排序:
Style Transfer: From Stitching to neural networks  5
Style Transfer: From Stitching to Neural Networks
收藏 引用
5th International conference on Big Data and Artificial Intelligence and Software Engineering, ICBASE 2024
作者: Xu, Xinhe Wang, Zhuoer Zhang, Yihan Liu, Yizhou Wang, Zhaoyue Xu, Zhihao Zhao, Muhan Luo, Huaiying University of Illinois Urbana-Champaign Urbana United States Washington University in St. Louis St. Louis United States Georgia Institute of Technology Atlanta United States Carnegie Mellon University Pittsburgh United States Cornell University Ithaca United States
This article compares two style transfer methods in image processing: the traditional method, which synthesizes new images by stitching together small patches from existing pattern images, and a modern machine learnin... 详细信息
来源: 评论
A Survey on applications and Performance of Deep Convolution neural Network Architecture for image Segmentation  4
A Survey on Applications and Performance of Deep Convolution...
收藏 引用
4th IEEE International conference on Emerging Techniques in Computational Intelligence, ICETCI 2024
作者: Bhargavi, K. Krishna, Ch.V.Phani IFHE-ICFAI Cse Dept Shankarpally Hyderabad India Teegala Krishna Reddy Engineering College Cse Dept Hyderabad India
image segmentation constitutes a critical component within the realm of medical image processing and analysis, bearing profound implications on treatment efficacy and patient survival rates. This technique serves as a... 详细信息
来源: 评论
DocAssist: Signature Perception System using Deep learning
DocAssist: Signature Perception System using Deep Learning
收藏 引用
2024 International conference on Computational Intelligence and Computing applications, ICCICA 2024
作者: Sharma, Pooja Miglani, Ishika Sharma, Lucky Panipat Institute Of Engineering And Technology Samalkha India Panipat Institute Of Engineering And Technology Artificial Intelligence And Machine Learning Samalkha India
All In the realm of communication, individuals employ two primary modes: written and spoken language. Handwriting, in particular, serves as a powerful tool for conveying information and emotions across various context... 详细信息
来源: 评论
Brain Tumor Classification Using ML and DL Approaches  5
Brain Tumor Classification Using ML and DL Approaches
收藏 引用
5th IEEE International conference on Cybernetics, Cognition and machine learning applications, ICCCMLA 2023
作者: Solanki, Shubhangi Singh, Uday Pratap Chouhan, Siddharth Singh LNCT University Department of Computer Science Engineering Bhopal462042 India School of Mathematics Shri Mata Vaishno Devi University Kakrayl Katra182320 India School of Computing Science and Engineering VIT Bhopal University Madhya Pradesh Sehore466114 India
In medical image processing, categorizing brain tumors is one of the most critical and challenging challenges that must be solved. Because manual classification carried out with the assistance of humans often leads to... 详细信息
来源: 评论
Research on Application System of Computer Aided Design in Innovative Design of Intangible Cultural Heritage Clothing  2
Research on Application System of Computer Aided Design in I...
收藏 引用
2nd IEEE International conference on image processing and Computer applications, ICIPCA 2024
作者: Gu, Xiaoxue College of Art Liaoning Communication University Shenyang China
In this paper, a semantic-based intangible cultural heritage database is constructed based on the integration of structured retrieval and the characteristics of C language, and then it is debugged and compiled, and th... 详细信息
来源: 评论
Masking Improves Contrastive Self-Supervised learning for ConvNets, and Saliency Tells You Where
Masking Improves Contrastive Self-Supervised Learning for Co...
收藏 引用
IEEE/CVF Winter conference on applications of Computer Vision (WACV)
作者: Chin, Zhi-Yi Jiang, Chieh-Ming Huang, Ching-Chun Chen, Pin-Yu Chiu, Wei-Chen Natl Yang Ming Chiao Tung Univ Taipei Taiwan IBM Res Armonk NY USA
While image data starts to enjoy the simple-but-effective self-supervised learning scheme built upon masking and self-reconstruction objective thanks to the introduction of tokenization procedure and vision transforme... 详细信息
来源: 评论
International conference on Artificial Intelligence, Computer, Data Sciences, and applications, ACDSA 2024
International Conference on Artificial Intelligence, Compute...
收藏 引用
2024 International conference on Artificial Intelligence, Computer, Data Sciences, and applications, ACDSA 2024
The proceedings contain 158 papers. The topics discussed include: duct inspection and monitoring robot;deep learning-based approaches for preventing and predicting wild animals disappearance: a review;classification a...
来源: 评论
Layer-wise Relevance Backward Propagation for Fake Face Detection and Reconstruction  5
Layer-wise Relevance Backward Propagation for Fake Face Dete...
收藏 引用
5th International conference on image processing and Capsule networks, ICIPCN 2024
作者: David, Muhumuza William, Mawejje Mark Bridget, Nabagereka Raudha, Nakayiza Hellen Nakibuule, Rose Marvin, Ggaliwango Makerere University Dept of Computer Science Arua Uganda Muni University Dept of Computer and Information Science Kampala Uganda
Deep learning techniques involving Generative Adversarial networks (GANs) enable artificially generated facial images. This alone presents difficulties in terms of authenticity resulting in ethical concerns among inst... 详细信息
来源: 评论
Elevating Healthcare AI: Achieving Efficiency and Accuracy in Medical applications with Surrogate-Based Multiobjective Compression of ResNet50 CNNs  34th
Elevating Healthcare AI: Achieving Efficiency and Accuracy i...
收藏 引用
34th Brazilian conference on Intelligent Systems
作者: Ferreira, Gabriel Bicalho Silva, Pedro Silva, Rodrigo Univ Fed Ouro Preto Dept Comp Ouro Preto Brazil
machine learning, particularly convolutional neural networks (CNNs), has gained prominence in healthcare applications, including medical diagnosis and clinical support. However, the increasing size of CNNs poses chall... 详细信息
来源: 评论
Vehicle-Based Evolutionary Travel Time Estimation with Deep Meta learning  33rd
Vehicle-Based Evolutionary Travel Time Estimation with Deep ...
收藏 引用
33rd International conference on Artificial neural networks and machine learning (ICANN)
作者: Wang, Chenxing Zhao, Fang Luo, Haiyong Fang, Yuchen Zhang, Haichao Xiong, Haoyu Beijing Univ Posts & Telecommun Sch Comp Sci Beijing Peoples R China Chinese Acad Sci Inst Comp Technol Beijing Peoples R China
Vehicle-based travel time estimation is crucial for many travel scheduling and city planning applications in intelligent transportation systems. Since trajectories in different trips are affected by evolutionary Spati... 详细信息
来源: 评论