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检索条件"任意字段=Conference on Applications of Neural Networks and Machine Learning in Image Processing IX"
6125 条 记 录,以下是241-250 订阅
排序:
RECURRENT NERUAL IMAGING: AN EVOLUTIONARY APPROACH FOR MixED POSSION-GAUSSIAN image DENOISING  21
RECURRENT NERUAL IMAGING: AN EVOLUTIONARY APPROACH FOR MIXED...
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21st IEEE International conference on machine learning and applications (IEEE ICMLA)
作者: Ranganath, Aditya DeGuchy, Omar Santiago, Fabian Singhal, Mukesh Marcia, Roummel Univ Calif Merced Appl Math Merced CA 95343 USA Univ Calif Merced Sch Engn Merced CA 95343 USA
Recurrent neural networks (RNNs) are traditionally used for machine learning applications for temporal sequences such as natural language processing. Its application to image processing is relatively new. In this pape... 详细信息
来源: 评论
A Short Survey on Deep learning-Based Frameworks for Knowledge Graph applications  2
A Short Survey on Deep Learning-Based Frameworks for Knowled...
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2nd International conference on Computer Technologies, ICCTech 2023
作者: Kushk, Abdulkarim Kochut, Krzysztof School of Computing University of Georgia AthensGA United States
Knowledge Graphs (KG) are repositories of structured, machine-readable data stored as relational triples. DBpedia, Freebase, and YAGO are examples of KGs that have been playing a vital role in many applications, inclu... 详细信息
来源: 评论
Leveraging GANs for Synthetic Tabular Data Generation: A Platform-Centric Solution to Data Scarcity  26
Leveraging GANs for Synthetic Tabular Data Generation: A Pla...
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26th Irish machine Vision and image processing conference, IMVIP 2024
作者: Mobeen, Muhammad Afzal, Awais Saeed, Reeda Arshad, Tayyaba Asad, Muhammad Institute of Space Technology Islamabad Pakistan University of Galway Ireland
In an era dominated by data-driven decision-making, the insufficiency of high-quality and diverse datasets presents a profound challenge for researchers, businesses, and organizations. The scarcity of data, particular... 详细信息
来源: 评论
Text Recognition in Persian Documents Using Self-Supervised learning  6
Text Recognition in Persian Documents Using Self-Supervised ...
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6th IEEE International conference on image processing, applications and Systems, IPAS 2025
作者: Babaei, Atefeh Dehghani, Alireza Yazdi, Mehran Jamshidi, Ali Rasouli, Mahdi Shiraz University School of Electrical and Computer Engineering Shiraz Iran CeADAR Ireland's Centre For AI Dublin Ireland Université Grenoble Alpes School of Computer Science and Mathematics Grenoble France
Text is one of humankind's most significant inventions essential for communication and collaboration in modern society. Extracting text from images, especially for languages with cursive and connected scripts like... 详细信息
来源: 评论
Convolutional neural network is used in target contour extraction
Convolutional neural network is used in target contour extra...
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2024 International conference on Mechatronic Engineering and Artificial Intelligence, MEAI 2024
作者: Bi, Mingxue Lu, Na College of Equipment Engineerings Shenyang Ligong University Liaoning Shenyang110168 China
Target contour extraction is a key task in the field of image processing, which is of great significance for applications such as image segmentation, object detection, and scene understanding. Traditional methods are ... 详细信息
来源: 评论
A Survey on Adversarial Text Attacks on Deep learning Models in Natural Language processing  5th
A Survey on Adversarial Text Attacks on Deep Learning Models...
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5th International conference on Data Science, machine learning and applications
作者: Deepan, S. Torres-Cruz, Fred Placido-Lerma, Ruben L. Udhayakumar, R. Anuradha, S. Kapila, Dhiraj SR Univ Sch Comp Sci & Artificial Intelligence Warangal Telangana India Univ Nacl Altiplanode Puno Unit Stat & Comp Engn Puno Peru Univ Andina Nestor Caceres Velasquez Syst Engn Juliaca Peru VelTech Rangarajan Dr Sagunthala R&D Inst Sci & T Chennai Tamil Nadu India Sri Sairam Engn Coll Dept English Chennai Tamil Nadu India Lovely Profess Univ Dept Comp Sci & Engn Phagwara Punjab India
Deep neural networks have recently seen a significant surge in adoption for different Artificial Intelligence technologies due to the development of powerful computer systems. However, because of the growing security ... 详细信息
来源: 评论
Research on Deep learning Model of Feature Extraction Based on Convolutional neural Network  2
Research on Deep Learning Model of Feature Extraction Based ...
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2nd IEEE International conference on image processing and Computer applications, ICIPCA 2024
作者: Liu, Houze Li, Iris Liang, Yaxin Sun, Dan Yang, Yining Yang, Haowei New York University Department Computer Science and Engineering New York United States Graduate School of Art & Science New York University New York United States Viterbi School of Engineering University of Southern California Los Angeles United States Washington University Department of Electrical and Systems Engineering St. Louis United States School of Computer Science Carnegie Mellon University Pittsburgh United States University of Houston Cullen College of Engineering Houston United States
neural networks with relatively shallow layers and simple structures may have limited ability in accurately identifying pneumonia. In addition, deep neural networks also have a large demand for computing resources, wh... 详细信息
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Performance Enhancement of Covid-19 Chest X-Ray image Classification Using GAN and CNN  7
Performance Enhancement of Covid-19 Chest X-Ray Image Classi...
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7th International conference on machine Vision and applications (ICMVA)
作者: Panday, Sanjeeb Prasad Dumre, Mani Prasad Shakya, Aman Joshi, Basanta Tribhuvan Univ Inst Engn Dept Elect & Comp Engn Pulchowk Campus Lalitpur Nepal Nepal Telecom Kathmandu Nepal
Covid-19, a respiratory disease caused by the SARS-CoV-2 virus, manifests in individuals with varying degrees of severity. Chest X-rays serve as initial screening procedures for suspected Covid-19 infections, aiding i... 详细信息
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HPDNET: Hyper Prior Dependent Demosaic neural Network  6
HPDNET: Hyper Prior Dependent Demosaic Neural Network
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6th IEEE International conference on image processing, applications and Systems, IPAS 2025
作者: Seo, Youngil Jun, Sungho Lim, Dongpan Song, Seongwook Samsung Electronics System LSI Division Yongin Korea Republic of
Recent advancements in deep neural networks have shown remarkable improvements in image quality during the demosaicking process, surpassing conventional algorithms. However, these deep neural network techniques are of... 详细信息
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Advanced machine vision techniques for real-time quality detection and grading of navel oranges using high-resolution imaging and deep learning algorithms
Advanced machine vision techniques for real-time quality det...
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International conference on Computer Vision, Robotics, and Automation Engineering, CRAE 2024
作者: Zhang, Xiaoyan Beijing Institute of Technology Zhuhai Zhuhai519000 China
In recent years, the rapid development of computer vision and artificial intelligence has significantly advanced agricultural applications, particularly in the quality detection and grading of navel oranges. This revi... 详细信息
来源: 评论