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检索条件"任意字段=Applications of Artificial Neural Networks in Image Processing VII"
3757 条 记 录,以下是281-290 订阅
排序:
artificial intelligence-assisted visual inspection for cultural heritage: State-of-the-art review
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JOURNAL OF CULTURAL HERITAGE 2024年 66卷 536-550页
作者: Mishra, Mayank Lourenco, Paulo B. Univ Minho Dept Civil Engn ISISE ARISE P-4804533 Guimaraes Portugal
Applying computer science techniques such as artificial intelligence (AI), deep learning (DL), and computer vision (CV) on digital image data can help monitor and preserve cultural heritage (CH) sites. Defects such as... 详细信息
来源: 评论
PETNet- Coincident Particle Event Detection using Spiking neural networks
PETNet- Coincident Particle Event Detection using Spiking Ne...
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Neuro Inspired Computational Elements Conference (NICE)
作者: Debus, Jan Debus, Charlotte Dissertori, Guenther Goetz, Markus Swiss Fed Inst Technol Inst Particle Phys & Astrophys Zurich Switzerland Karlsruhe Inst Technol Sci Comp Ctr Karlsruhe Germany Helmholtz AI Munich Germany
Spiking neural networks (SNN) hold the promise of being a more biologically plausible, low-energy alternative to conventional artificial neural networks. Their time-variant nature makes them particularly suitable for ... 详细信息
来源: 评论
Convolution-Enhanced Evolving Attention networks
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2023年 第7期45卷 8176-8192页
作者: Wang, Yujing Yang, Yaming Li, Zhuo Bai, Jiangang Zhang, Mingliang Li, Xiangtai Yu, Jing Zhang, Ce Huang, Gao Tong, Yunhai Peking Univ Key Lab Machine Percept MOE Sch Intelligence Sci & Technol Beijing 100871 Peoples R China Peking Univ Dept Comp Sci & Technol Engn Res Ctr Microprocessor & Syst Beijing 100871 Peoples R China Chinese Acad Sci Inst Informat Engn Beijing 100045 Peoples R China Swiss Fed Inst Technol CH-8092 Zurich Switzerland Tsinghua Univ Dept Automat Beijing 100190 Peoples R China
Attention-based neural networks, such as Transformers, have become ubiquitous in numerous applications, including computer vision, natural language processing, and time-series analysis. In all kinds of attention netwo... 详细信息
来源: 评论
DNCS: artificial Intelligence Enabled Food Recognition and Associated Calorie Level Estimation System Using Deep neural Classification Scheme
DNCS: Artificial Intelligence Enabled Food Recognition and A...
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2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2024
作者: Ramesh, A.P. Prasad, Ovss Venkat, S. Jagadeeshwaran, A. Lakshmi, P. Adi Singaravelu, R. Sri Ramakrishna College of Arts and Science Department of Electronics Coimbatore India Qis College of Engineering and Technology Department of Ece AndhraPradesh Ongole India S.A. Engineering College Department of Ece Chennai India Sona College of Technology Department of Eee Salem India Qis College of Engineering and Technology Department of Cse AndhraPradesh Ongole India Vel Tech Multi Tech Dr. Rangarajan Dr Sakunthala Engineering College Department of Ece Chennai India
The DNCS (Cascaded CNN-ANN) enabled Food Recognition (FR) and Associated Calorie Level Estimation System presents a novel approach to food classification and calorie estimation using a cascaded neural network architec... 详细信息
来源: 评论
Involution fused convolution for classifying eye-tracking patterns of children with Autism Spectrum Disorder
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ENGINEERING applications OF artificial INTELLIGENCE 2025年 139卷
作者: Islam, Md. Farhadul Manab, Meem Arafat Mondal, Joyanta Jyoti Zabeen, Sarah Bin Rahman, Fardin Hasan, Md. Zahidul Sadeque, Farig Noor, Jannatun BRAC Univ Sch Data & Sci Dept Comp Sci & Engn Comp Sustainabil & Social Good Res Grp C2SG Dhaka 1212 Bangladesh BRAC Univ Sch Data & Sci Dept Comp Sci & Engn Dhaka 1212 Bangladesh BRAC Univ Sch Data & Sci Dept Math & Nat Sci Dhaka 1212 Bangladesh Dublin City Univ Sch Law & Govt Dublin D09 V209 Ireland Univ Alabama Birmingham Dept Comp Sci Birmingham AL 35294 USA Concordia Univ Concordia Inst Informat Syst Engn CIISE Gina Cody Sch Engn & Comp Sci Montreal PQ H3G 1M8 Canada
Autism Spectrum Disorder (ASD) is a neurological condition that is challenging to diagnose. Numerous studies demonstrate that children diagnosed with autism struggle with maintaining attention spans and have less focu... 详细信息
来源: 评论
DeepMesh: Differentiable Iso-Surface Extraction
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2024年 第11期46卷 7072-7087页
作者: Guillard, Benoit Remelli, Edoardo Lukoianov, Artem Yvernay, Pierre Richter, Stephan R. Bagautdinov, Timur Baque, Pierre Fua, Pascal Ecole Polytech Fed Lausanne Comp Vis Lab CH-1015 Lausanne Switzerland MIT Grp Geometr Data Proc Cambridge MA 02139 USA Neural Concept CH-1015 Lausanne Switzerland Intel Labs Hillsboro OR 97124 USA Meta Real Labs Menlo Pk CA 94025 USA
Geometric Deep Learning has recently made striking progress with the advent of continuous deep implicit fields. They allow for detailed modeling of watertight surfaces of arbitrary topology while not relying on a 3D e... 详细信息
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The local ternary pattern encoder-decoder neural network for dental image segmentation
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IET image processing 2022年 第6期16卷 1520-1530页
作者: Salih, Omran Duffy, Kevin Jan Durban Univ Technol Inst Syst Sci ZA-4000 Durban South Africa
Recent advances in medical imaging analyses, especially the use of deep learning, are helping to identify, detect, classify, and quantify patterns in radiographs. At the centre of these advances is the ability to expl... 详细信息
来源: 评论
COMPREHENSIVE ANALYSIS OF CONVOLUTIONAL neural networks APPLIED TO CIFAR-10 DATASET  2
COMPREHENSIVE ANALYSIS OF CONVOLUTIONAL NEURAL NETWORKS APPL...
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2nd International Conference on Mechatronic Automation and Electrical Engineering, ICMAEE 2024
作者: Su, Biao College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China
This article explores the advancements and applications of Convolutional neural networks (CNNs) in image classification, focusing on the CIFAR-10 dataset. Since their inception in 2006, CNNs have revolutionized comput... 详细信息
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Research on Crane Scene Recognition Technology Combining Digital Twins with neural networks  10
Research on Crane Scene Recognition Technology Combining Dig...
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10th International Conference on Fuzzy Systems and Data Mining, FSDM 2024
作者: Su, Wensheng Xu, Jia Wang, Xinren Special Equipment Safety Supervision Inspection Institute of Jiangsu Province Nanjing210036 China
In the fields of computer vision and intelligent recognition, with the increasing complexity and dynamism of crane scenes, how to use digital twins technology and artificial intelligence technology to improve the accu... 详细信息
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SVM-based malware classification through deep learning method  5
SVM-based malware classification through deep learning metho...
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5th International Conference on Signal processing and Computer Science, SPCS 2024
作者: Shi, Jiawei Wang, Wancheng Zhang, Meng Yao, Qinbo Cheng, Shiyuan Zhan, Zhifei College of Artificial Intelligence and Automation Hohai University Nanjing China
Various daily applications, including image categorization, natural language comprehension, and voice identification, heavily rely on fully connected and convolutional neural networks. When tackling classification pro... 详细信息
来源: 评论