Suchergebnisse - "conditional variational autoencoder (CVAE)"

Anomaly Detection in Imbalanced Data: Evaluating the Performance of Conditional Variational Autoencoder (CVAE) for Video Data von Anderwald, Russell Scott

“… Anomaly detection algorithms are deployed to determine a pattern of behavior that deviates from normal behavior. This study aimed to determine performance …”
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Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter von Jiao, Ruihua, Peng, Kaixiang, Dong, Jie

“… In this article, a novel PF framework based on conditional variational autoencoder (CVAE) and a reweighting strategy is proposed to predict the RUL of batteries …”
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CSR: Cascade Conditional Variational Auto Encoder with Socially-aware Regression for Pedestrian Trajectory Prediction von Zhou, Hao, Ren, Dongchun, Yang, Xu, Fan, Mingyu, Huang, Hai

“… •The proposed trajectory prediction method consists of a cascaded CVAE module and a socially aware regression module.•The cascaded CVAE module decouples and …”
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Intrusion Detection System After Data Augmentation Schemes Based on the VAE and CVAE von Liu, Chang, Antypenko, Ruslan, Sushko, Iryna, Zakharchenko, Oksana

“… Industrial Internet of Things (IoT) is the most rapidly developing industry in the current IoT industry, and the intrusion detection system (IDS) remains one …”
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A CVAE-based generative model for generalized B1 inhomogeneity corrected chemical exchange saturation transfer MRI at 5 T von Zhang, Ruifen, Zhang, Qiyang, Wu, Yin

“… In this study, we proposed a Conditional Variational Autoencoder (CVAE)-based generative model to generate B1 inhomogeneity corrected Z spectra from single CEST acquisition …”
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Few-shot learning-based generative design of metamaterials with zero Poisson’s ratio von Liu, Xiangbei, Zhao, Huan, Tang, Ya, Chen, Chaofan, Zhu, Yifeng, Song, Bo, Li, Yan

“… [Display omitted] •Generated zero Poisson's ratio metamaterial using an extremely unbalanced dataset.•Addressed the common issue in material design of having …”
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Few-shot learning-based generative design of metamaterials with zero Poisson’s ratio von Liu, Xiangbei, Zhao, Huan, Tang, Ya, Chen, Chaofan, Zhu, Yifeng, Song, Bo, Li, Yan

“… Our framework incorporates an out-of-distribution (OOD) target-oriented sampler into a conditional variational autoencoder (cVAE …”
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CVAE‐SFA: A practical dual‐channel and multi‐index comprehensive operating performance assessment method for dynamic nonstationary industrial processes von Zhang, Zhipeng, Wei, Libin, Hao, Xiaochen, Huang, Gaolu, Hu, Jiahao, Lu, Tianqiang

“… It introduces four control limits of ‘optimal, good, general, and poor’ based on the optimal reconstruction error from a conditional variational autoencoder (CVAE …”
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Research on Abnormal Traffic Detection in Industrial Control Network Based on CVAE-CatBoost von ZHANG Zixuan, ZONG Xuejun, HE Kan, LIAN Lian

“… For the detection of abnormal traffic in Industrial Control Network（ICN），a new abnormal traffic detection model based on Conditional Variational Autoencoder（CVAE …”
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Automatically Inverse Design of FSSs by Conditional Variational Autoencoder and Equivalent Circuit Models With Large Language Models von Shen, Jiajun, Liu, Jianfa, Qu, Changhao, Wang, Bao, Wang, Qian, Wei, Zhun

“… ), where both of them are assisted by large language models (LLMs). On the one hand, the LLM is used to extract key desired features from language, which is then followed with a conditional variational autoencoder (CVAE …”
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Developing a Conditional Variational Autoencoder to Guide Spectral Data Augmentation for Calibration Modeling von Mu, Guoqing, Chen, Junghui

“… To deal with the typically insufficiently labeled samples involved in practical spectroscopy measurements, a conditional variational autoencoder (CVAE …”
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Probabilistic Generative Approach for Ambiguity-Aware Parameter Extraction von Zeng, Bolun, Tang, Zhenhua, Zhang, Yuanke, Li, Qingsong, Zhou, Changchun, Qiu, Liling, Chen, Yuefeng, Xiang, Zikun, Xu, Jun, Luo, Chao, Guo, Guoping

“… >). To address this challenge, we introduce a novel probabilistic generative framework. Specifically, we utilize a conditional variational autoencoder (CVAE …”
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Spatiotemporal Fusion Network for Land Surface Temperature Based on a Conditional Variational Autoencoder von Chen, Yuncheng, Yang, Yingbao, Pan, Xin, Meng, Xiangjin, Hu, Jia

“… In this study, we propose a spatiotemporal fusion network for LST based on a conditional variational autoencoder (CVAE-LSTFM …”
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SpateCV: cross-modality alignment regularization of cell types improves spatial gene imputation for spatial transcriptomics von Yuan, Jiaqi, Yu, Junhua, Yi, Qianbei, Ye, Zheng, Xu, Peng, Liu, Wenbin

“… Methods In this paper, we construct a conditional variational autoencoder (CVAE) architecture, named SpateCV, to explicitly regularize the embedding alignment …”
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Structured Local Feature-Conditioned 6-DOF Variational Grasp Detection Network in Cluttered Scenes von Liu, Hongyang, Li, Hui, Jiang, Changhua, Xue, Shuqi, Zhao, Yan, Huang, Xiao, Jiang, Zhihong

“… ) that can generate accurate grasp configurations in cluttered scenes end to end. First, we propose a network using a 3-D convolutional neural network with a conditional variational autoencoder (CVAE) as a backbone …”
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CGMFN: Conditional Generative Model Fusion Network for Land Surface Temperature Generation von Chen, Yuncheng, Yang, Yingbao, Pan, Xin, Hu, Penghua

“… Land surface temperature (LST) is an important parameter representing surface energy, which is of great significance for monitoring urban heat islands, …”
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Obstacle Avoidance Learning for Robot Motion Planning in Human-Robot Integration Environments von Hong, Yang, Ding, Zhiyu, Yuan, Yuan, Chi, Wenzheng, Sun, Lining

“… In the human-robot integration environment, it is essential for mobile robots to pass through the crowd and complete the navigation task smoothly. However, the …”
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Heartbeat detection and personal authentication using a 60 GHz Doppler sensor von Asano, Takuma, Izumi, Shintaro, Kawaguchi, Hiroshi

“… We proposed a method for authenticating and identifying heartbeat signals through supervised learning using a conditional variational autoencoder (CVAE). A 60 …”
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Generating Long Financial Report Using Conditional Variational Autoencoders With Knowledge Distillation von Wang, Ziao, Ren, Yunpeng, Zhang, Xiaofeng, Wang, Yiyuan

“… To address this issue, this article proposes a conditional variational autoencoders (CVAEs)-based approach that distills external knowledge from a set of news-report data …”
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A Variable Load Fault Detection and Diagnosis Method for Traction Systems of High-speed Trains von Li, Xuedong, Wang, Hongzhi, Wan, Zhiwei, Cheng, Chao

“… Therefore, this paper proposes a new data-driven FDD method based on a conditional variational autoencoder (CVAE …”
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