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检索条件"主题词=variational autoencoder"
1539 条 记 录,以下是1401-1410 订阅
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Deep Unsupervised Learning for Condition Monitoring and Prediction of High Dimensional Data with Application on Windfarm SCADA Data  37th
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37th International Modal Analysis Conference and Exposition (IMAC) on Structural Dynamics
作者: Mylonas, C. Abdallah, I Chatzi, E. N. Swiss Fed Inst Technol Inst Struct Engn Zurich Switzerland
In this work we are addressing the problem of statistical modeling of the joint distribution of data collected from wind turbines interacting due to collective effect of their placement in a wind-farm, the wind charac... 详细信息
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Collaborative Filtering Based on a variational Gaussian Mixture Model
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FUTURE INTERNET 2021年 第2期13卷 37-37页
作者: Yang, FengLei Liu, Fei Liu, ShanShan Shanghai Univ Sch Comp Engn & Sci Shanghai 200444 Peoples R China
Collaborative filtering (CF) is a widely used method in recommendation systems. Linear models are still the mainstream of collaborative filtering research methods, but non-linear probabilistic models are beyond the li... 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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Generative chemistry: drug discovery with deep learning generative models
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JOURNAL OF MOLECULAR MODELING 2021年 第3期27卷 71-71页
作者: Bian, Yuemin Xie, Xiang-Qun Univ Pittsburgh Dept Pharmaceut Sci Sch Pharm Pittsburgh PA 15261 USA Univ Pittsburgh Computat Chem Genom Screening Ctr Sch Pharm Pittsburgh PA 15261 USA Univ Pittsburgh NIH Natl Ctr Excellence Computat Drug Abuse Res Pittsburgh PA 15261 USA Univ Pittsburgh Drug Discovery Inst 335 Sutherland Dr206 Salk Pavilion Pittsburgh PA 15261 USA Univ Pittsburgh Sch Med Dept Computat Biol Pittsburgh PA 15261 USA Univ Pittsburgh Sch Med Dept Struct Biol Pittsburgh PA 15261 USA
The de novo design of molecular structures using deep learning generative models introduces an encouraging solution to drug discovery in the face of the continuously increased cost of new drug development. From the ge... 详细信息
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Multimodal anomaly detection in complex environments using video and audio fusion
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Scientific Reports 2025年 第1期15卷 1-22页
作者: Wang, Yuanyuan Zhao, Yijie Huo, Yanhua Lu, Yiping Library Hebei North University Hebei Zhangjiakou 075000 China Educational Technology and Information Center Hebei North University Hebei Zhangjiakou 075000 China
Due to complex environmental conditions and varying noise levels, traditional models are limited in their effectiveness for detecting anomalies in video sequences. Aiming at the challenges of accuracy, robustness, and... 详细信息
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VKAD: A novel fault detection and isolation model for uncertainty-aware industrial processes
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Neural networks : the official journal of the International Neural Network Society 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. Electronic address: binnuaacs@***. College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China. Electronic address: pinuaa@***.
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
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Training Reject-Classifiers for Out-of-distribution Detection via Explicit Boundary Sample Generation
Training Reject-Classifiers for Out-of-distribution Detectio...
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作者: Vernekar, Sachin University of Waterloo
学位级别:硕士
Discriminatively trained neural classifiers can be trusted only when the input data comes from the training distribution (in-distribution). Therefore, detecting out-of-distribution (OOD) samples is very important to a... 详细信息
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Distributed unsupervised meta-learning algorithm over multi-agent systems
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Digital Communications and Networks 2024年
作者: Zhenzhen Wang Bing He Zixin Jiang Xianyang Zhang Haidi Dong Di Ye Department of Electronic Engineering PLA Rocket Force University of Engineering Xi'an 710025 China College of Weaponry Engineering PLA Naval University of Engineering Wuhan 430033 China
Multi-Agent Systems (MAS), which consist of multiple interacting agents, are crucial in Cyber-Physical Systems (CPS), because they improve system adaptability, efficiency, and robustness through parallel processing an... 详细信息
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Integrating multi-tube flow cytometry data via deep generative modelling
Integrating multi-tube flow cytometry data via deep generati...
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作者: Hiltunen, Saara Aalto University
学位级别:硕士
Flow cytometry has been used for several decades to quantitatively analyse single cells in a high-throughput manner. This has resulted in a wide range of medical and biological applications. For example in immunology,... 详细信息
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An Interpretable and Domain-Informed Real-Time Hybrid Earthquake Early Warning for Ground Shaking Intensity Prediction
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Engineering 2025年
作者: Jawad Fayaz Rodrigo Astroza Sergio Ruiz Department of Computer Science University of Exeter Exeter EX4 4RN UK Department of Civil Environmental and Geomatic Engineering University College London (UCL) London WC1E 6BT UK Faculty of Engineering and Applied Sciences University of the Andes Santiago 7620001 Chile Department of Geophysics University of Chile Santiago 8330111 Chile
In the face of the unrelenting challenge posed by earthquakes—a natural hazard of unpredictable nature with a legacy of significant loss of life, destruction of infrastructure, and profound economic and social impact... 详细信息
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