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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61-70 订阅
排序:
Robust Stochastically-Descending Unrolled networks
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IEEE TRANSACTIONS ON SIGNAL processing 2024年 72卷 5484-5499页
作者: Hadou, Samar Naderializadeh, Navid Ribeiro, Alejandro Univ Penn Dept Elect & Syst Engn Philadelphia PA 19104 USA Duke Univ Dept Biostat & Bioinformat Durham NC 27705 USA
Deep unrolling, or unfolding, is an emerging learning-to-optimize method that unrolls a truncated iterative algorithm in the layers of a trainable neural network. However, the convergence guarantees and generalizabili... 详细信息
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Systematic literature review of AI algorithms applied to unmanned aerial vehicle images
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INTERNATIONAL JOURNAL OF image AND DATA FUSION 2025年 第1期16卷
作者: El Khadir, Kenza Ait Fadil, Abdelhamid El Brirchi, El Hassan Hassania Sch Publ Works LaGes Lab Km 7 Jadida RdBP 8108 Casablanca Morocco
artificial Intelligence (AI) combined with image processing has shown significant improvements through new techniques such as Machine Learning (ML) models. This paper introduces the key methods and algorithms used for... 详细信息
来源: 评论
The State of Retinal image Analysis: Deep Learning Advances and applications
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IEEE ACCESS 2025年 13卷 65066-65093页
作者: Soomro, Toufique Ahmed Bin Ubaid, Faisal Zardari, Shehnila Shah, Ahmed Ali Alansari, Marwah M. Nagro, Shimaa A. Charles Univ Prague Artificial Intelligence & Cyber Futures Inst Bathurst NSW 2795 Australia Univ Larkano Dept Elect Engn Larkana 77280 Pakistan Sukkur IBA Univ Comp Sci Dept Sukkur 65200 Pakistan NED Univ Engn & Technol Dept Software Engn Karachi 75270 Pakistan Sukkur IBA Univ Elect Engn Dept Sukkur 65200 Pakistan Saudi Elect Univ Coll Comp & Informat Riyadh 11673 Saudi Arabia
This study explores deep learning techniques that can help diagnose eye conditions, focusing on diabetic retinopathy (DR). By using cutting-edge technology in image processing and artificial intelligence, it aims to b... 详细信息
来源: 评论
networks of random lasers: current perspective and future challenges [Invited]
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OPTICAL MATERIALS EXPRESS 2023年 第4期13卷 1060-1076页
作者: Consoli, Antonio Caselli, Niccolo Lopez, Cefe CSIC Inst Ciencia Mat Madrid ICMM Sor Juana Ines Cruz 3 Madrid 28049 Spain Univ Rey Juan Carlos ETSI Telecomunicac Camino Molino 5 Madrid 28942 Spain Univ Complutense Madrid Dept Quim Fis Ciudad Univ S-N Madrid Spain
artificial neural networks are widely used in many different applications because of their ability to deal with a range of complex problems generally involving massive data sets. These networks are made up of nodes, c... 详细信息
来源: 评论
Pixel-level block classification and crack detection from 3D reconstruction models of masonry structures using convolutional neural networks
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ENGINEERING STRUCTURES 2024年 310卷
作者: Loverdos, Dimitrios Sarhosis, Vasilis Univ Leeds Sch Civil Engn Woodhouse Ln Leeds LS2 9DY England
Inspection and documentation of masonry structures is a time-consuming and expensive process that heavily relies on an engineer's expertise. This paper introduces a computer vision-based method that automates the ... 详细信息
来源: 评论
Dual-function switchable terahertz metamaterial device assisted by a deep neural network
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JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS image SCIENCE AND VISION 2025年 第4期42卷 529-541页
作者: Ren, Jiali Zhang, Ting Li, Jing Shanxi Vocat Univ Engn Sci & Technol Sch Comp Engn Jinzhong 030619 Peoples R China Shanxi Vocat Univ Engn Sci & Technol Sch Informat Engn Jinzhong 030619 Peoples R China North Univ China Sch Instrument & Elect Taiyuan 030051 Peoples R China
A dual-functional switchable terahertz metamaterial (THz MM) device with broadband absorption and polarization conversion capabilities is proposed, leveraging the insulator-to-metal phase transition of vanadium dioxid... 详细信息
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A Quality-Aware Voltage Overscaling Framework to Improve the Energy Efficiency and Lifetime of TPUs Based on Statistical Error Modeling
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IEEE ACCESS 2024年 12卷 92181-92197页
作者: Senobari, Alireza Vafaei, Jafar Akbari, Omid Hochberger, Christian Shafique, Muhammad Tarbiat Modares Univ Dept Elect & Comp Engn Tehran 14115111 Iran Univ Tehran Sch Elect & Comp Engn Tehran 14395515 Iran Tech Univ Darmstadt Dept Elect Engn D-64289 Darmstadt Germany NYU Abu Dhabi NYU AD Div Engn Abu Dhabi U Arab Emirates
Deep neural networks (DNNs) are a type of artificial intelligence models that are inspired by the structure and function of the human brain, designed to process and learn from large amounts of data, making them partic... 详细信息
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Tchebichef Transform Domain-Based Deep Learning Architecture for image Super-Resolution
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IEEE TRANSACTIONS ON neural networks AND LEARNING SYSTEMS 2024年 第2期35卷 2182-2193页
作者: Kumar, Ahlad Singh, Harsh Vardhan Khare, Vijeta Dhirubhai Ambani Inst Informat & Commun Technol D Dept Informat & Commun Technol Gandhinagar 382007 Gujarat India Dhirubhai Ambani Inst Informat & Commun Technol D Gandhinagar 382007 Gujarat India Adani Inst Infrastruct Engn Adalaj 382421 Gujarat India
Recent advances in the area of artificial intelligence and deep learning have motivated researchers to apply this knowledge to solve multipurpose applications in the area of computer vision and image processing. Super... 详细信息
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Explainable AI for Medical Data: Current Methods, Limitations, and Future Directions
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ACM COMPUTING SURVEYS 2025年 第6期57卷 1-46页
作者: Hossain, Md Imran Zamzmi, Ghada Mouton, Peter r. Salekin, Md Sirajus Sun, Yu Goldgof, Dmitry Univ S Florida Dept Comp Sci & Engn ENB 4202 E Fowler Ave Tampa FL 33620 USA SRC Biosci 1810 W Kennedy Blvd Tampa FL 33606 USA
With the power of parallel processing, large datasets, and fast computational resources, deep neural networks (DNNs) have outperformed highly trained and experienced human experts in medical applications. However, the... 详细信息
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Deep spiking neural networks based on model fusion technology for remote sensing image classification
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ENGINEERING applications OF artificial INTELLIGENCE 2025年 142卷
作者: Niu, Li-Ye Wei, Ying Zhao, Liping Hu, Keli Zhejiang Chinese Med Univ Zhejiang Prov Hosp Chinese Med Dept Radiol Affiliated Hosp 1 Hangzhou 310006 Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China Shaoxing Univ Dept Comp Sci & Engn Shaoxing 312000 Peoples R China
The spiking neural network (SNN) based on brain inspiration, as the third-generation neural network, has attracted great research interest due to its ultra-low power event-driven data processing method. How to obtain ... 详细信息
来源: 评论