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检索条件"主题词=Autoencoder"
4298 条 记 录,以下是581-590 订阅
排序:
Wafer Bin Map Recognition With autoencoder-Based Data Augmentation in Semiconductor Assembly Process
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IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING 2022年 第2期35卷 198-209页
作者: Shen, Po-Cheng Lee, Chia-Yen Natl Cheng Kung Univ Inst Mfg Informat & Syst Tainan 70101 Taiwan Natl Taiwan Univ Dept Informat Management Taipei 10617 Taiwan
Semiconductor manufacturers use the wafer bin map recognition (WBMR) system to identify failure modes in processing. This study proposes an WBMR system embedded with three modules: data preprocessing, region classific... 详细信息
来源: 评论
FASSt: Filtering via Symmetric autoencoder for Spherical Superficial White Matter Tractography  14th
FASSt: Filtering via Symmetric Autoencoder for Spherical Sup...
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14th International Workshop on Computational Diffusion MRI (CDMRI)
作者: Li, Yuan Nie, Xinyu Fu, Yao Shi, Yonggang Univ Southern Calif USC Keck Sch Med Stevens Neuroimaging & Informat Inst Los Angeles CA 90033 USA Univ Southern Calif USC Viterbi Sch Engn Ming Hsieh Dept Elect & Comp Engn Los Angeles CA 90089 USA Case Western Reserve Univ CWRU Dept Comp & Data Sci Cleveland OH 44106 USA
Superficial white matter (SWM) plays an important role in functioning of the human brain, and it contains a large amount of cortico-cortical connections. However, the difficulties of generating complete and reliable U... 详细信息
来源: 评论
Latent adversarial regularized autoencoder for high-dimensional probabilistic time series prediction
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NEURAL NETWORKS 2022年 第0期155卷 383-397页
作者: Zhang, Jing Dai, Qun Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China
Many practical applications require probabilistic prediction of time series to model the distribution on future horizons. With ever-increasing dimensions, much effort has been invested into developing methods that oft... 详细信息
来源: 评论
Data-driven seismic prestack velocity inversion via combining residual network with convolutional autoencoder
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JOURNAL OF APPLIED GEOPHYSICS 2022年 207卷
作者: Liu, Guanchao Zhang, Lei Wang, Qingzhen Xu, Jianhua Natl Engn Res Ctr Offshore Oil & Gas Explorat Beijing 100028 Peoples R China Nanjing Normal Univ Sch Comp & Elect Informat Sch Artificial Intelligence Nanjing 210023 Peoples R China CNOOC Res Inst Ltd Beijing 100028 Peoples R China Natl Engn Res Ctr Offshore Oil & Gas Explorat Beijing Peoples R China Nanjing Normal Univ Nanjing 210023 Peoples R China
Seismic full-waveform inversion (FWI) is a powerful imaging approach in exploration geophysics, to estimate high-resolution subsurface geophysical properties via fitting synthetic data to observed seismic records. Nev... 详细信息
来源: 评论
autoencoder-based intra prediction with auxiliary feature
Autoencoder-based intra prediction with auxiliary feature
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IEEE International Conference on Visual Communications and Image Processing (VCIP)
作者: Xu, Luhang Yu, Yue Yu, Haoping Wang, Dong OPPO Dept Stand Res Nanjing Jiangsu Peoples R China
A set of autoencoders is trained to perform intra prediction for block-based video coding. Each autoencoder consists of an encoding network and a decoding network. Both encoding network and decoding networks are joint... 详细信息
来源: 评论
autoencoder performance analysis with adaptive and trainable activation function to compress images  8
Autoencoder performance analysis with adaptive and trainable...
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IEEE Latin American Conference on Computational Intelligence (LA-CCI)
作者: De Medeiros Delgado, Joao Henrique Ferreira, Tiago A. E. Univ Fed Rural Pernambuco UFRPE Dept Estatistia & Informat Recife PE Brazil
Activation functions are essential keys to good performance in a neural network. Many functions can be used, and the choice of which one to use depends on the issues addressed. New adaptable and trainable activation f... 详细信息
来源: 评论
autoencoder-based self-supervised hashing for cross-modal retrieval
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MULTIMEDIA TOOLS AND APPLICATIONS 2021年 第11期80卷 17257-17274页
作者: Li, Yifan Wang, Xuan Cui, Lei Zhang, Jiajia Huang, Chengkai Luo, Xuan Qi, Shuhan Harbin Inst Technol Shenzhen Comp Sci & Technol Shenzhen Peoples R China
Cross-modal retrieval has gained lots of attention in the era of the multimedia data explosion. Taking advantage of low storage cost and fast retrieval speed, hash learning-based methods become more and more popular i... 详细信息
来源: 评论
autoencoder and Deep Neural Network based Energy Consumption Analysis of Marine Diesel Engine  19
Autoencoder and Deep Neural Network based Energy Consumption...
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19th IEEE International Conference on Mechatronics and Automation (IEEE ICMA)
作者: Zhang, Deft Wang, Kangli Gao, Jianfeng Che, Xiuming Tianjin Univ Technol Maritime Coll Tianjin Peoples R China Northern Nav Serv Ctr Tianjin AtoN Div Tianjin Peoples R China
In order to improve the intelligent energy efficiency management of ships, evaluate the fuel utilization efficiency of marine diesel engine. In this paper, a fuel consumption model of marine diesel engine based on aut... 详细信息
来源: 评论
A physics-informed dynamic deep autoencoder for accurate state-of-health prediction of lithium-ion battery
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NEURAL COMPUTING & APPLICATIONS 2022年 第18期34卷 15997-16017页
作者: Xu, Zhaoyi Guo, Yanjie Saleh, Joseph Homer Georgia Inst Technol Sch Aerosp Engn Atlanta GA 30332 USA
Lithium-ion batteries (LIBs) are currently the standard for energy storage in portable consumer electronic devices. They are also used in electric vehicles and in some large industrial settings and for grid power stor... 详细信息
来源: 评论
Griffin: Real-Time Network Intrusion Detection System via Ensemble of autoencoder in SDN
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IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 2022年 第3期19卷 2269-2281页
作者: Yang, Liyan Song, Yubo Gao, Shang Hu, Aiqun Xiao, Bin Southeast Univ Sch Cyber Sci & Engn Nanjing 210096 Peoples R China Southeast Univ Frontiers Sci Ctr Mobile Informat Commun & Secur Nanjing 210096 Peoples R China Purple Mt Labs Nanjing 211189 Peoples R China Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China
Many efforts have been devoted to the development of efficient Network Intrusion Detection System (NIDS) using machine learning approaches in Software-defined Network (SDN). Unfortunately, existing solutions failed to... 详细信息
来源: 评论