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检索条件"任意字段=Applications of Artificial Neural Networks in Image Processing VII"
3746 条 记 录,以下是11-20 订阅
排序:
Generative artificial Intelligence for Hyperspectral Sensor Data: A Review
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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2025年 18卷 6422-6439页
作者: Abuhani, Diaa Addeen Zualkernan, Imran Aldamani, Raghad Alshafai, Mohamed Amer Univ Sharjah Dept Comp Sci & Engn Sharjah 26666 U Arab Emirates
Airborne platforms and satellites provide rich sensor data in the form of hyperspectral images (HSI), which are crucial for numerous vision-related tasks, such as feature extraction, image enhancement, and data synthe... 详细信息
来源: 评论
Application of deep reinforcement learning in various image processing tasks: a survey
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EVOLVING SYSTEMS 2025年 第1期16卷 1-20页
作者: Tadesse, Daniel Moges Kebede, Samuel Rahimeto Debele, Taye Girma Waldamichae, Fraol Gelana Ethiopian Artificial Intelligence Inst Addis Ababa 40782 Ethiopia Addis Ababa Sci & Technol Univ Coll Elect & Mech Engn Addis Ababa 120611 Ethiopia Debreberhan Univ Coll Engn Debreberhan 222 Ethiopia
A subset of machine learning algorithm called Deep Reinforcement Learning (DRL) enables computers or agents to learn behavior by taking actions in a given environment through trial and error while observing the reward... 详细信息
来源: 评论
A review of hyperspectral image classification based on graph neural networks
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artificial INTELLIGENCE REVIEW 2025年 第6期58卷 1-56页
作者: Zhao, Xiaofeng Ma, Junyi Wang, Lei Zhang, Zhili Ding, Yao Xiao, Xiongwu Xian Res Inst High Technol Key Lab Opt Engn Xian 710025 Shaanxi Peoples R China Wuhan Univ State Key Lab Informat Engn Surveying Mapping & Re Wuhan 430079 Peoples R China
Hyperspectral images provide rich spectral-spatial information but pose significant classification challenges due to high dimensionality, noise, mixed pixels, and limited labeled samples. Graph neural networks (GNNs) ... 详细信息
来源: 评论
Bio-Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics
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ADVANCED SCIENCE 2025年 第1期12卷 e2409568页
作者: Boahen, Elvis K. Kweon, Hyukmin Oh, Hayoung Kim, Ji Hong Lim, Hayoung Kim, Do Hwan Hanyang Univ Dept Chem Engn Seoul 04763 South Korea Hanyang Univ Inst Nano Sci & Technol Seoul 04763 South Korea Hanyang Univ Clean Energy Res Inst Seoul 04763 South Korea Stanford Univ Dept Chem Engn Stanford CA 94305 USA
Inspired by the extensive signal processing capabilities of the human nervous system, neuromorphic artificial sensory systems have emerged as a pivotal technology in advancing brain-like computing for applications in ... 详细信息
来源: 评论
Efficient Implementation of Matrix-Based image processing Algorithms for IoT applications
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APPLIED SCIENCES-BASEL 2025年 第9期15卷 4947-4947页
作者: Zoican, Sorin Zoican, Roxana POLITEHN Bucharest Natl Univ Sci & Technol Fac Elect Telecommun & Informat Technol Telecommun Dept Bucharest 060042 Romania
This paper analyzes implementation approaches of matrix-based image processing algorithms. As an example, an image processing algorithm that provides both image compression and image denoising using random sample cons... 详细信息
来源: 评论
A Nonlinear Noise-Resistant Zeroing neural Network Model for Solving Time-Varying Quaternion Generalized Lyapunov Equation and applications to Color image processing
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IEEE TRANSACTIONS ON neural networks AND LEARNING SYSTEMS 2025年 PP卷 PP页
作者: Xiao, Lin Yan, Xiangru He, Yongjun Luo, Biao Song, Qiya Hunan Normal Univ Hunan Prov Key Lab Intelligent Comp & Language Inf Changsha 410081 Peoples R China Hunan Normal Univ MOE LCSM Changsha 410081 Peoples R China Cent South Univ Sch Automat Changsha 410083 Peoples R China
The time-varying Lyapunov equation (TVLE) plays a crucial role in control design and system stability. However, there has been limited research conducted on the time-varying generalized Lyapunov equation in the quater... 详细信息
来源: 评论
Accelerating Convolutional processing by Harnessing Channel Shifts in Arrayed Waveguide Gratings
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LASER & PHOTONICS REVIEWS 2025年 第1期19卷
作者: Yi, Dan Zhao, Caiyue Zhang, Zunyue Xu, Hongnan Tsang, Hon Ki Chinese Univ Hong Kong Dept Elect Engn Shatin Hong Kong Peoples R China Tianjin Univ Sch Precis Instrument & Optoelect Engn Tianjin 300072 Peoples R China
Convolutional neural networks are a powerful category of artificial neural networks that can extract features from raw data to provide greatly reduced parametric complexity and enhance pattern recognition and the accu... 详细信息
来源: 评论
DiffStyler: Controllable Dual Diffusion for Text-Driven image Stylization
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IEEE TRANSACTIONS ON neural networks AND LEARNING SYSTEMS 2025年 第2期36卷 3370-3383页
作者: Huang, Nisha Zhang, Yuxin Tang, Fan Ma, Chongyang Huang, Haibin Dong, Weiming Xu, Changsheng Chinese Acad Sci Inst Automat State Key Lab Multimodal Artificial Intelligence Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Chinese Acad Sci Inst Comp Technol Beijing 100190 Peoples R China Kuaishou Technol Beijing 100085 Peoples R China
Despite the impressive results of arbitrary image-guided style transfer methods, text-driven image stylization has recently been proposed for transferring a natural image into a stylized one according to textual descr... 详细信息
来源: 评论
A hardware accelerator to support deep learning processor units in real-time image processing
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ENGINEERING applications OF artificial INTELLIGENCE 2025年 145卷
作者: Cittadini, Edoardo Marinoni, Mauro Buttazzo, Giorgio Scuola Super Sant Anna Pisa Italy
Deep neural networks are becoming crucial in many cyber-physical systems involving complex perceptual tasks. For those embedded systems requiring real-time interactions with dynamic environments, as autonomous robots ... 详细信息
来源: 评论
Robust pattern retrieval in an optical Hopfield neural network
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OPTICS LETTERS 2025年 第1期50卷 225-228页
作者: Katidis, Michael Musa, Khalid Kumar, Santosh Li, Zhaotong Long, Frederick Qu, Chunlei Huang, Yu-ping Stevens Inst Technol Dept Phys Hoboken NJ 07030 USA Stevens Inst Technol Ctr Quantum Sci & Engn Hoboken NJ 07030 USA US Army DEVCOM Armaments Ctr Picatinny Arsenal NJ 07806 USA
Hopfield neural networks (HNNs) promise broad applications in areas such as combinatorial optimization, memory storage, and pattern recognition. Among various implementations, optical HNNs are particularly interesting... 详细信息
来源: 评论