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检索条件"任意字段=Applications of Artificial Neural Networks in Image Processing VII"
3565 条 记 录,以下是231-240 订阅
排序:
Using the Swin-Transformer for Real and Fake Data Recognition in PC-Model
Using the Swin-Transformer for Real and Fake Data Recognitio...
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Intelligent Systems Conference
作者: Park, Jiyoon Branksome Hall Asia Seogwipo South Korea
Recently, due to the rapid development of generative AI technologies, the use of AI-generated images has increased significantly, making the distinction between real and fake images crucial. Generative images may be u... 详细信息
来源: 评论
Traditional and deep-learning-based denoising methods for medical images
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MULTIMEDIA TOOLS AND applications 2023年 第17期83卷 52061页
作者: El-Shafai, Walid El-Nabi, Samy Abd Ali, Anas M. El-Rabaie, El-Sayed M. Abd El-Samie, Fathi E. Prince Sultan Univ Secur Engn Lab Comp Sci Dept Riyadh 11586 Saudi Arabia Menoufia Univ Fac Elect Engn Dept Elect & Elect Commun Engn Menoufia 32952 Egypt King Salman Int Univ KSIU Fac Comp Sci & Engn Dept Artificial Intelligence Engn South Sinai 46511 Egypt Prince Sultan Univ Robot & Internet Things Lab Riyadh 12435 Saudi Arabia Princess Nourah Bint Abdulrahman Univ Coll Comp & Informat Sci Dept Informat Technol POB 84428 Riyadh 11671 Saudi Arabia
Visual information is extremely important in today's world. Visual information transmitted in the form of digital images has become a critical mode of communication. As a result, digital image processing plays a c... 详细信息
来源: 评论
Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification  38
Point-to-Spike Residual Learning for Energy-Efficient 3D Poi...
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38th AAAI Conference on artificial Intelligence (AAAI) / 36th Conference on Innovative applications of artificial Intelligence / 14th Symposium on Educational Advances in artificial Intelligence
作者: Wu, Qiaoyun Zhang, Quanxiao Tan, Chunyu Zhou, Yun Sun, Changyin Anhui Univ Sch Artificial Intelligence Hefei Peoples R China Minist Educ Engn Res Ctr Autonomous Unmanned Syst Technol Hefei Peoples R China Anhui Prov Engn Res Ctr Unmanned Syst & Intellige Hefei Peoples R China Hefei Comprehens Natl Sci Ctr Inst Artificial Intelligence Hefei Peoples R China
Spiking neural networks (SNNs) have revolutionized neural learning and are making remarkable strides in image analysis and robot control tasks with ultra-low power consumption advantages. Inspired by this success, we ... 详细信息
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Learning Truly Monotone Operators with applications to Nonlinear Inverse Problems
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SIAM JOURNAL ON IMAGING SCIENCES 2025年 第1期18卷 735-764页
作者: Belkouchi, Younes Pesquet, Jean-Christophe Repetti, Audrey Talbot, Hugues Univ Paris Saclay CentraleSupelec Inria F-91190 Gif Sur Yvette France Heriot Watt Univ Sch Math & Comp Sci Edinburgh EH14 4AS Scotland Heriot Watt Univ Sch Engn & Phys Sci Edinburgh EH14 4AS Scotland Bayes Ctr Maxwell Inst Math Sci Edinburgh EH9 3FD Scotland
This article introduces a novel approach to learning monotone neural networks (NNs) through a newly defined penalization loss. The proposed method is particularly effective in solving classes of variational problems, ... 详细信息
来源: 评论
Input parameterized physics informed neural networks for de noising, super-resolution, and imaging artifact mitigation in time resolved three dimensional phase-contrast magnetic resonance imaging
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ENGINEERING applications OF artificial INTELLIGENCE 2025年 150卷
作者: Kalajahi, Amin Pashaei Csala, Hunor Bin Mamun, Zayeed Yadav, Sangeeta Amili, Omid Arzani, Amirhossein D'Souza, Roshan M. Univ Wisconsin Milwaukee Dept Mech Engn Milwaukee WI 53211 USA Univ Utah Dept Mech Engn 1495 E 100 S Salt Lake City UT 84112 USA Univ Utah Sci Comp & Imaging Inst 72 S Cent Campus Dr Ste 3750 Salt Lake City UT 84112 USA Univ Toledo Mech Ind & Mfg Engn Dept 2801 West Bancroft St Toldeo OH 43606 USA
Motivation: Hemodynamic analysis is crucial for diagnosing and predicting cardiovascular diseases. However, methods relying on fluid flow simulations or blood flow imaging are complex, time-consuming, and require spec... 详细信息
来源: 评论
image processing for Smart Agriculture applications Using Cloud-Fog Computing
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SENSORS 2024年 第18期24卷 5965页
作者: Markovic, Dusan Stamenkovic, Zoran Dordevic, Borislav Randic, Sinisa Univ Kragujevac Fac Agron Cacak Cara Dusana 34 Cacak 32102 Serbia Univ Potsdam Inst Comp Sci An Der Bahn 2 D-14476 Potsdam Germany IHP Leibniz Inst Innovat Mikroelekt Technol Pk 25 D-15236 Frankfurt Germany Inst Mihailo Pupin Volgina 15 Belgrade 11060 Serbia Univ Kragujevac Fac Tech Sci Cacak Svetog Save 65 Cacak 32102 Serbia
The widespread use of IoT devices has led to the generation of a huge amount of data and driven the need for analytical solutions in many areas of human activities, such as the field of smart agriculture. Continuous m... 详细信息
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Swin transformer and ResNet based deep networks for low-light image enhancement
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MULTIMEDIA TOOLS AND applications 2024年 第9期83卷 26621-26642页
作者: Xu, Lintao Hu, Changhui Zhang, Bo Wu, Fei Cai, Ziyun Nanjing Univ Posts & Telecommun Coll Automat Wenyuan Rd Nanjing 210023 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Coll Artificial Intelligence Wenyuan Rd Nanjing 210023 Jiangsu Peoples R China
Low-light image enhancement is a long-term low-level vision problem, which aims to improve the visual quality of images captured in low illumination environment. Convolutional neural network (CNN) is the foundation of... 详细信息
来源: 评论
Modeling the Detection and Classification of Tomato Leaf Diseases Using a Robust Deep Learning Framework
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TRAITEMENT DU SIGNAL 2024年 第4期41卷 1667-1678页
作者: Gupta, Manish Yadav, Dharmveer Khan, Safdar Sardar Kumawat, Ashish Kumar Chourasia, Ankita Rane, Pinky Ujlayan, Anshul GLA Univ Dept Elect & Commun Engn Mathura 281406 India St Xaviers Coll Jaipur Dept Comp Sci Jaipur 302029 India Engn Med Caps Univ Dept Comp Sci Indore 453331 India Graphnexti Chief Data Scientist & Mentor Dept Greater Noida 201310 India
Tomatoes areAa noteworthy horticultural crop that has considerable importance in a diverse range of culinary traditions. At now, the primary concern for food security is in the realm of plant diseases. Researchers are... 详细信息
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Integrating deep learning for accurate gastrointestinal cancer classification: a comprehensive analysis of MSI and MSS patterns using histopathology data
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neural Computing and applications 2024年 第34期36卷 21273-21305页
作者: Wafa, Abeer A. Essa, Reham M. Abohany, Amr A. Abdelkader, Hanan E. Faculty of Computers and Artificial Intelligence Helwan University Helwan Egypt Department of Information System Higher Institute for Management and Information Technology Kafr El-Sheikh Egypt Faculty of Computers and Information Kafrelsheikh University Kafr El-Sheikh Egypt Faculty of Specific Education Mansoura University Mansoura Egypt
Early detection of microsatellite instability (MSI) and microsatellite stability (MSS) is crucial in the fight against gastrointestinal (GI) cancer. MSI is a sign of genetic instability often associated with DNA repai... 详细信息
来源: 评论
Design of Adaptive Control System Driven by artificial Intelligence and Its Application in Industry 4.0  2
Design of Adaptive Control System Driven by Artificial Intel...
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2nd IEEE International Conference on image processing and Computer applications, ICIPCA 2024
作者: Wen, Xiaoqian Business School Belarusian State University Minsk Belarus
In view of the difficulty of effective fusion of multi-source sensing data used in industrial production, a method based on multi-source sensing data fusion was proposed. A multi-sensor network model for real-time mon... 详细信息
来源: 评论