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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281-290 订阅
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neural networks IN SCENE ANALYSIS
NEURAL NETWORKS IN SCENE ANALYSIS
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1ST CONF ON applications OF artificial neural networks
作者: KOUTSOUGERAS, C BARAD, H MARTINEZ, A Tulane Univ. (United States)
In this paper we discuss the advantages of two specific neural net models for the purposes of scene analysis. Two applications of those models are also presented. One concerns the prediction of sea water depth on the ... 详细信息
来源: 评论
Improvement of intelligent methods for evaluating the apparent quality of knitted fabrics
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ENGINEERING applications OF artificial INTELLIGENCE 2010年 第2期23卷 217-221页
作者: Semnani, Dariush Vadood, Morteza Isfahan Univ Technol Dept Text Engn Esfahan *** Iran
In the previous Studies, the standard boards of yarn (ASTM) were analyzed using the image analysis method and artificial neural networks;the appearance of different knitted fabrics samples was tested for appearance Th... 详细信息
来源: 评论
neural network analysis of MINERVA scene image benchmark
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neural COMPUTING & applications 2006年 第1期15卷 26-32页
作者: Markou, M Singh, M Singh, S Univ Exeter Dept Comp Sci Exeter EX4 4PT Devon England
Scene analysis is an important area of research with the aim of identifying objects and their relationships in natural scenes. MINERVA benchmark has been recently introduced in this area for testing different image pr... 详细信息
来源: 评论
Multiscale Tensor Summation Factorization as a new neural Network Layer (MTS Layer) for Multidimensional Data processing
arXiv
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arXiv 2025年
作者: Yamaç, Mehmet Yousaf, Muhammad Numan Kiranyaz, Serkan Gabbouj, Moncef Tampere University Faculty of Information Technology and Communication Sciences Tampere Finland Department of Electrical Engineering Qatar University Qatar
Multilayer perceptrons (MLP), or fully connected artificial neural networks, are known for performing vector-matrix multiplications using learnable weight matrices;however, their practical application in many machine ... 详细信息
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Design of an adaptive genetic learning neural network system for image compression  2
Design of an adaptive genetic learning neural network system...
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Conference on applications of artificial neural networks in image processing II
作者: Jiang, J Butler, D Loughborough Univ. (United Kingdom) Bolton Institute (United Kingdom)
In this paper, we describe a genetic learning neural network system to vector quantize images directly to achieve data compression. The genetic learning algorithm is designed to have two levels: One is at the level of... 详细信息
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A survey on machine learning methods for food safety risk assessment: Approaches, challenges, and future outlook
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Engineering applications of artificial Intelligence 2025年 154卷
作者: Zhao, Zhiyao Dong, Jiaxin Qi, Bojian Duan, Nuo Qian, He School of Computer and Artificial Intelligence Beijing Technology and Business University Beijing100048 China China Food Flavor and Nutrition Health Innovation Center Beijing Technology and Business University Beijing100048 China School of Food Science and Technology Jiangnan University Jiangsu 210024 China
Food safety is essential for protecting health and supply chain management. Food engineering plays a foundational role in ensuring food safety by developing innovative processes and technologies for quality control, c... 详细信息
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Corner detection of intensity images with cellular neural networks (CNN) and evolutionary techniques
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NEUROCOMPUTING 2019年 347卷 82-93页
作者: Cuevas, Erik Diaz-Cortes, Margarita-Arimatea Mezura-Montes, Efren Univ Guadalajara Dept Elect CUCEI Av Revoluc 1500 Guadalajara 44430 Jalisco Mexico FU Berlin Inst Informat Arnimallee 7 D-14195 Berlin Germany Univ Veracruz Artificial Intelligence Res Ctr Sebastian Camacho 5 Xalapa 91090 Veracruz Mexico
Corner detection represents one of the most important steps to identify features in images. Due to their powerful local processing capabilities, Cellular Nonlinear/neural networks (CNN) are commonly utilized in image ... 详细信息
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PETNet– Coincident Particle Event Detection using Spiking neural networks
arXiv
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arXiv 2025年
作者: Debus, Jan Debus, Charlotte Dissertori, Günther Götz, Markus Institute for Particle Physics and Astrophysics ETH Zürich Switzerland Scientific Computing Center Karlsruhe Institute of Technology Germany Helmholtz AI 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
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Speech recognition by neural networks and pre-processing wavelet
Speech recognition by neural networks and pre-processing wav...
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Conference on Wavelet applications in Signal and image processing V
作者: Cister, AM Galante, GMF Federal Univ. of Rio de Janeiro (Brazil)
Our goal in this article is to present a quantitative study about speech recognition and the inherent problems of its applications and the computer processing. Our approach is characterized by independent speaker and ... 详细信息
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The Random neural Network: A Survey
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COMPUTER JOURNAL 2010年 第3期53卷 251-267页
作者: Timotheou, Stelios Univ London Imperial Coll Sci Technol & Med Dept Elect & Elect Engn Intelligent Syst & Networks Grp London SW7 2BT England
The random neural network (RNN) is a recurrent neural network model inspired by the spiking behaviour of biological neuronal networks. Contrary to most artificial neural network models, neurons in the RNN interact by ... 详细信息
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