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检索条件"任意字段=Applications of Artificial Neural Networks in Image Processing VII"
3748 条 记 录,以下是71-80 订阅
排序:
Global-Local Multigranularity Transformer for Hyperspectral image Classification
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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2025年 18卷 112-131页
作者: Meng, Zhe Yan, Qian Zhao, Feng Chen, Gaige Hua, Wenqiang Liang, Miaomiao Xian Univ Posts & Telecommun Sch Commun & Informat Engn Xian 710121 Peoples R China Xian Univ Posts & Telecommun Sch Artificial Intelligence Xian 710121 Peoples R China Xian Univ Posts & Telecommun Sch Comp Sci & Technol Xian 710121 Peoples R China Jiangxi Univ Sci & Technol Sch Informat Engn Jiangxi Prov Key Lab Multidimens Intelligent Perce Ganzhou 341000 Peoples R China
Hyperspectral image (HSI) classification is a challenging task in remote sensing applications, aiming to determine the category of each pixel by utilizing rich spectral and spatial information in HSI. Convolutional ne... 详细信息
来源: 评论
Satellite image classification with neural quantum kernels
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MACHINE LEARNING-SCIENCE AND TECHNOLOGY 2025年 第1期6卷
作者: Rodriguez-Grasa, Pablo Farzan-Rodriguez, Robert Novelli, Gabriele Ban, Yue Sanz, Mikel Univ Basque Country UPV EHU Dept Phys Chem Apartado 644 Bilbao 48080 Spain Univ Basque Country UPV EHU Quantum Ctr Apartado 644 Bilbao 48080 Spain TECNALIA Basque Res & Technol Alliance BRTA Derio 48160 Spain GMV Dept Artificial Intelligence & Big Data Isaac Newton 11 Madrid 28760 Spain Univ Carlos III Madrid Dept Fis Avda Univ 30 Leganes 28911 Spain CSIC Inst Ciencia Mat Madrid E-28049 Madrid Spain IKERBASQUE Basque Fdn Sci Plaza Euskadi 5 Bilbao 48009 Spain Basque Ctr Appl Math BCAM Alameda Mazarredo 14 Bilbao 48009 Spain
Achieving practical applications of quantum machine learning (QML) for real-world scenarios remains challenging despite significant theoretical progress. This paper proposes a novel approach for classifying satellite ... 详细信息
来源: 评论
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision
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ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS 2025年 第1期24卷 1-100页
作者: Luo, Xiangzhong Liu, Di Kong, Hao Huai, Shuo Chen, Hui Xiong, Guochu Liu, Weichen Nanyang Technol Univ Nanyang Singapore Norwegian Univ Sci & Technol Dept Comp Sci Trondheim Norway Nanyang Technol Univ Sch Comp Sci & Engn Singapore Singapore
Deep neural networks (DNNs) have recently achieved impressive success across a wide range of real-world vision and language processing tasks, spanning from image classification to many other downstream vision tasks, s... 详细信息
来源: 评论
IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning
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IEEE ACCESS 2025年 13卷 14727-14742页
作者: Jalal, Ahmad Khan, Danyal Sadiq, Touseef Alotaibi, Moneerah Alotaibi, Sultan Refa Aljuaid, Hanan Rahman, Hameedur Air Univ Fac Comp & AI Islamabad 44000 Pakistan Korea Univ Coll Informat Dept Comp Sci & Engn Seoul 02841 South Korea Univ Agder Ctr Artificial Intelligence Res Dept Informat & Commun Technol N-4879 Grimstad Norway Shaqra Univ Dept Comp Sci Coll Sci & Humanities Dawadmi Shaqra Saudi Arabia Princess Nourah Bint Abdulrahman Univ Coll Comp & Informat Sci Dept Comp Sci POB 84428 Riyadh 11671 Saudi Arabia
Human activity recognition (HAR) has attracted significant attention in various fields, including healthcare, smart homes, and human-computer interaction. Accurate HAR can enhance user experience, provide critical hea... 详细信息
来源: 评论
Frequency-Domain Super-Resolution With Reconstruction Using Compressed Representation (FDSR-RCR) Algorithm for Remote Sensing Satellite images
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2025年 63卷
作者: Miao, Jiaqing Zhou, Xiaobing Li, Guibing Li, Gaoping Zeng, Li Liu, Xiaoguang Tan, Ying Southwest Minzu Univ Sch Math Chengdu 610054 Peoples R China Montana Technol Univ Geol Engn Dept Butte MT 59701 USA Southwest Minzu Univ Coll Comp Sci & Artificial Intelligence Key Lab Comp Syst State Ethn Affairs Commiss Chengdu 610041 Peoples R China Southwest Jiaotong Univ Sch Elect Engn Chengdu 611756 Peoples R China
In remote sensing image processing for Earth and environmental applications, super-resolution (SR) is a crucial technique for enhancing the resolution of low-resolution (LR) images. In this study, we proposed a novel ... 详细信息
来源: 评论
Automated Extraction and Classification of Fossil Whorl Patterns Using Deep Learning: A Novel Approach to Paleontological image Analysis
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TRAITEMENT DU SIGNAL 2025年 第1期42卷 67-77页
作者: Bi, Ruifang Shi, Hualin Shanxi Inst Technol Dept Art & Design Sci Yangquan 045000 Peoples R China Huayuan Int Land Port Grp Co Ltd Enterprise Technol Ctr Taiyuan 030000 Peoples R China Key Lab Intelligent Logist Shanxi Prov Taiyuan 030000 Peoples R China
The rapid advancement of artificial Intelligence (AI) has led to the displacement of traditional fossil pattern recognition methods in paleontological studies, particularly through the application of image processing ... 详细信息
来源: 评论
An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs
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ENGINEERING applications OF artificial INTELLIGENCE 2025年 139卷
作者: Iqbal, Imran Ullah, Imran Peng, Tingying Wang, Weiwei Ma, Nan Inst Act Polymers Helmholtz Zentrum Hereon Dept PLR D-14513 Teltow Germany German Res Ctr Environm Hlth Helmholtz Munich D-85764 Munich Germany
Deep learning is a very powerful analytic tool to recognize the patterns in data to make appropriate predictions. It has tremendous potential in data analyses, particularly for cell biology domain, caused by the growi... 详细信息
来源: 评论
Efficient neural Architecture Search: Computational Cost Reduction Mechanisms in DeepGA  17th
Efficient Neural Architecture Search: Computational Cost Red...
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17th Workshop of Hybrid Intelligent Systems, HIS 2024, 17th Workshop on Intelligent Learning Environments, WILE 2024 and 6th Workshop on New Trends in Computational Intelligence and applications, CIAPP 2024, held in conjunction with Mexican International Conference on artificial Intelligence, MICAI 2024
作者: Barradas-Palmeros, Jesús-Arnulfo López-Herrera, Carlos-Alberto Acosta-Mesa, Héctor-Gabriel Mezura-Montes, Efrén Artificial Intelligence Research Institute University of Veracruz Xalapa Mexico
neural Architecture Search (NAS) aims to automate the design process of Deep neural networks (DNN) without requiring profound domain knowledge. The Deep Genetic Algorithm (DeepGA) was proposed to find the architecture... 详细信息
来源: 评论
Complex-Valued Federated Learning with Differential Privacy and MRI applications  9th
Complex-Valued Federated Learning with Differential Privacy ...
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27th International Conference on Medical image Computing and Computer Assisted Intervention (MICCAI)
作者: Riess, Anneliese Ziller, Alexander Kolek, Stefan Rueckert, Daniel Schnabel, Julia Kaissis, Georgios Helmholtz Munich Inst Machine Learning Biomed Imaging Neuherberg Germany Tech Univ Munich Sch Computat Informat & Technol Munich Germany Helmholtz Munich Helmholtz AI Oberschleissheim Germany Tech Univ Munich Artificial Intelligence Healthcare & Med Munich Germany Ludwig Maximilians Univ Munchen Math Foundat AI Munich Germany Imperial Coll London Dept Comp London England Kings Coll London Sch Biomed Engn & Imaging Sci London England Tech Univ Munich Inst Diagnost & Intervent Radiol Munich Germany
Federated learning enhanced with Differential Privacy (DP) is a powerful privacy-preserving strategy to protect individuals sharing their sensitive data for processing in fields such as medicine and healthcare. Many m... 详细信息
来源: 评论
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