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检索条件"主题词=variational autoencoder"
1537 条 记 录,以下是701-710 订阅
排序:
Towards inverse microstructure-centered materials design using generative phase-field modeling and deep variational autoencoders
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ACTA MATERIALIA 2023年 第1期259卷
作者: Attari, Vahid Khatamsaz, Danial Allaire, Douglas Arroyave, Raymundo Texas A&M Univ Mat Sci & Engn Dept College Stn TX 77840 USA Texas A&M Univ Mech Engn Dept College Stn TX 77840 USA
The field of Integrated Computational Materials Engineering (ICME) combines a broad range of methods to study materials' responses over a spectrum of length scales. A relatively unexplored aspect of microstructure... 详细信息
来源: 评论
Learning Subject-Generalized Topographical EEG Embeddings Using Deep variational autoencoders and Domain-Adversarial Regularization
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SENSORS 2021年 第5期21卷 1792-1792页
作者: Hagad, Juan Lorenzo Kimura, Tsukasa Fukui, Ken-ichi Numao, Masayuki Osaka Univ Grad Sch Informat Sci & Technol Suita Osaka 5650871 Japan Osaka Univ Inst Sci & Ind Res Ibaraki Osaka 5670047 Japan
Two of the biggest challenges in building models for detecting emotions from electroencephalography (EEG) devices are the relatively small amount of labeled samples and the strong variability of signal feature distrib... 详细信息
来源: 评论
Enhancing monitoring performance of data sparse nonlinear processes through information sharing among different grades using Gaussian mixture prior variational autoencoders
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2021年 208卷 104219-104219页
作者: Lee, Yi Shan Chen, Junghui Chung Yuan Christian Univ Chung Li Dept Chem Engn Taoyuan 320 Taiwan
In the chemical industry, manufacturers produce multiple products with different grades constantly by changing the operating conditions and raw materials in the same production line to meet the customers' needs an... 详细信息
来源: 评论
Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders
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COMPUTERS & ELECTRICAL ENGINEERING 2022年 101卷
作者: Gonzalez-Muniz, Ana Diaz, Ignacio Cuadrado, Abel A. Garcia-Perez, Diego Perez, Daniel Univ Oviedo Elect Engn Dept Edif Dept Oeste 2Campus Viesques S-N Gijon 33204 Spain Univ Leon Escuela Ingn SUPPRESS Res Grp Campus Vegazana Leon 24007 Spain
Anomaly detection is a crucial task in the engineering systems field. However, there is usually little or no information about all possible abnormal modes in systems. Hence, a common approach is to build a model of he... 详细信息
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Developing semi-supervised latent dynamic variational autoencoders to enhance prediction performance of product quality
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CHEMICAL ENGINEERING SCIENCE 2023年 265卷
作者: Lee, Yi Shan Chen, Junghui Chung Yuan Christian Univ Dept Chem Engn Taoyuan 32023 Taiwan
The online quality variables of soft sensors contribute greatly to obtaining immediate process information. The complex correlations between a large number of process variables inherited from the dynamic and nonlinear... 详细信息
来源: 评论
Anomaly detection on household appliances based on variational autoencoders
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SUSTAINABLE ENERGY GRIDS & NETWORKS 2022年 32卷
作者: Castangia, Marco Sappa, Riccardo Girmay, Awet Abraha Camarda, Christian Macii, Enrico Patti, Edoardo Politecn Torino Dept Control & Comp Engn I-10129 Turin Italy Politecn Torino Interuniv Dept Reg & Urban Studies & Planning I-10129 Turin Italy
Electrical anomalies in residential buildings represent a serious problem that can unpredictably change the power profiles of end-users, causing a sub-optimal energy distribution. In addition, electrical faults can ca... 详细信息
来源: 评论
VKAD: A novel fault detection and isolation model for uncertainty-aware industrial processes
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Neural Networks 2025年 189卷 107664页
作者: Shengbin Zheng Dechang Pi College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China
Fault detection and isolation (FDI) are essential for effective monitoring of industrial processes. Modern industrial processes involve dynamic systems characterized by complex, high-dimensional nonlinearities, posing... 详细信息
来源: 评论
Developing Soft-Sensor Models Using Latent Dynamic variational autoencoders
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IFAC-PapersOnLine 2021年 第3期54卷 61-66页
作者: Yi Shan Lee Sai Kit Ooi Dave Tanny Junghui Chen Department of Chemical Engineering Chung-Yuan Christian University Tao-Yuan Taiwan R.O.C.
Quality variables, which are usually measured offline, play important roles in describing process behaviors. However, online data obtained from soft sensors are significant as they provide accurate and immediate infor... 详细信息
来源: 评论
On the Use of Kullback-Leibler Divergence for Kernel Selection and Interpretation in variational autoencoders for Feature Creation
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INFORMATION 2023年 第10期14卷 571页
作者: Mendonca, Fabio Mostafa, Sheikh Shanawaz Morgado-Dias, Fernando Ravelo-Garcia, Antonio G. Univ Madeira Fac Exact Sci & Engn P-9000082 Funchal Portugal Interact Technol Inst ITI LARSyS & ARDITI P-9020105 Funchal Portugal Univ Las Palmas Gran Canaria Inst Technol Dev & Innovat Commun Las Palmas Gran Canaria 35001 Spain
This study presents a novel approach for kernel selection based on Kullback-Leibler divergence in variational autoencoders using features generated by the convolutional encoder. The proposed methodology focuses on ide... 详细信息
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Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation
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JOURNAL OF CHEMINFORMATICS 2019年 第1期11卷 70-70页
作者: Kwon, Youngchun Yoo, Jiho Choi, Youn-Suk Son, Won-Joon Lee, Dongseon Kang, Seokho Samsung Elect Co Ltd Samsung Adv Inst Technol 130 Samsung Ro Suwon South Korea Seoul Natl Univ Dept Comp Sci & Engn 1 Gwanak Ro Seoul South Korea Sungkyunkwan Univ Dept Syst Management Engn 2066 Seobu Ro Suwon South Korea
With the advancements in deep learning, deep generative models combined with graph neural networks have been successfully employed for data-driven molecular graph generation. Early methods based on the non-autoregress... 详细信息
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