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检索条件"主题词=autoencoder"
4279 条 记 录,以下是3921-3930 订阅
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AI in Laser Diode Module Manufacturing  4
AI in Laser Diode Module Manufacturing
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4th IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)
作者: Anantathanasarn, Sanguan Srisaard, Thotsaporn Wattanarat, Jakkapat Budsayaplakorn, Nuttawut Furukawa FITEL Thailand Co Ltd Phranakorn Sri Ayutthaya Thailand
This paper describes application of Artificial Intelligence using machine learning and deep learning at our laser diode module manufacturing facility. Implementing A.I. into data analysis and classification problems, ... 详细信息
来源: 评论
Unsupervised Learning Using Generative Adversarial Networks on micro-Doppler spectrograms  16
Unsupervised Learning Using Generative Adversarial Networks ...
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16th European Radar Conference (EuRAD) / European Microwave Week
作者: Donerty, H. Garcia Cifola, L. Harmanny, R. I. A. Fioranelli, F. Univ Glasgow Sch Engn Glasgow Lanark Scotland Thales Nederland BV Delft Netherlands
This paper presents the implementation of a Generative Adversarial Network (GAN) and Adversarial autoencoder (AAE) trained in an unsupervised manner using micro-Doppler (mD) spectrograms of human gait. Once the GAN ne... 详细信息
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Efficient Nonlinear Dimensionality Reductionfor Pixel-Wise Classification of Hyperspectral Imagery
Efficient Nonlinear Dimensionality Reductionfor Pixel-Wise C...
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作者: Zhang, Xuewen Rochester Institute of Technology
学位级别:Ph.D.
Classification, target detection, and compression are all important tasks in analyzing hyperspectral imagery (HSI). Because of the high dimensionality of HSI, it is often useful to identify low-dimensional representat... 详细信息
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Efficient structuring of the latent space for controllable data reconstruction and compression
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Graphics and Visual Computing 2022年 7卷
作者: Elena Trunz Michael Weinmann Sebastian Merzbach Reinhard Klein University of Bonn Germany Delft University of Technology Netherlands X-Rite Europe GmbH Switzerland
Explainable neural models have gained a lot of attention in recent years. However, conventional encoder–decoder models do not capture information regarding the importance of the involved latent variables and rely on ... 详细信息
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Autoencoding sensory substitution
Autoencoding sensory substitution
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作者: Tóth, Viktor Aalto University
学位级别:硕士
Tens of millions of people live blind, and their number is ever increasing. Visual-to-auditory sensory substitution (SS) encompasses a family of cheap, generic solutions to assist the visually impaired by conveying vi... 详细信息
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An Intelligent Forecasting Method for Cigarette Equipment Maintenance Based on Fuzzy Mathematics Improved Analytic Hierarchy Process
An Intelligent Forecasting Method for Cigarette Equipment Ma...
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作者: Li.Ming,Zhu Min,Zhang Qiang,Zhang Information Center China Tobacco Zhejiang Industrial Co.LTD.
Predictive maintenance uses improved Fuzzy Analytic Hierarchy Process(FAHP) model to calculate the weight of equipment failure and the comprehensive index information of equipment failure, to identify its deterioratio... 详细信息
来源: 评论
Intrusion Detection Algorithm Based on Deep Learning for Industrial Control Networks  2019
Intrusion Detection Algorithm Based on Deep Learning for Ind...
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Proceedings of the 2019 The 2nd International Conference on Robotics, Control and Automation Engineering
作者: Yongzhong Li Yi Li Shipeng Zhang School of computer science Jiangsu University of Science and Technology Zhenjiang Jiangsu China
In this paper, we describe a intrusion detection algorithm based on deep learning for industrial control networks, aiming at the security problem of industrial control network. Deep learning is a kind of intelligent a... 详细信息
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Detection of substances in food with 3D convolutional autoencoders
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TM-TECHNISCHES MESSEN 2018年 第s1期85卷 S38-S44页
作者: Anastasiadis, Johannes Leon, Fernando Puente Karlsruher Inst Technol Inst Ind Informat Tech IIIT Karlsruhe Germany
Hyperspectral images contain very useful information because of their high spectral resolution, which can be used for non-contact food testing. However, to process them with convolutional neural networks, large data s... 详细信息
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Modulation classification for cognitive radios using stacked denoising autoencoders
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INTERNATIONAL JOURNAL OF SATELLITE COMMUNICATIONS AND NETWORKING 2017年 第5期35卷 517-531页
作者: Zhu, Xu Fujii, Takeo Univ Electrocommun Adv Wireless & Commun Res Ctr AWCC Tokyo 1828585 Japan
This paper proposes a modulation classification method based on stacked denoising autoencoders (SDAE). This method can extract the modulation features automatically and classify the input signals based on the extracte... 详细信息
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Deep learning from a statistical perspective
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STAT 2020年 第1期9卷
作者: Yuan, Yubai Deng, Yujia Zhang, Yanqing Qu, Annie Univ Calif Irvine Dept Stat Donald Bren Hall 2212 Irvine CA 92697 USA Univ Illinois Dept Stat Champaign IL 61820 USA Yunnan Univ Dept Stat Kunming 650106 Yunnan Peoples R China
As one of the most rapidly developing artificial intelligence techniques, deep learning has been applied in various machine learning tasks and has received great attention in data science and statistics. Regardless of... 详细信息
来源: 评论