Search Results - "Conditional variational autoencoder (cVAE)"

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter by Jiao, Ruihua, Peng, Kaixiang, Dong, Jie

“…Accurate prediction of remaining useful life (RUL) is of great significance to the safety and reliability of lithium-ion batteries, which is able to provide…”
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CSR: Cascade Conditional Variational Auto Encoder with Socially-aware Regression for Pedestrian Trajectory Prediction by 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 by 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 by Zhang, Ruifen, Zhang, Qiyang, Wu, Yin

“…Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) has emerged as a powerful tool to image endogenous or exogenous macromolecules…”
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Few-shot learning-based generative design of metamaterials with zero Poisson’s ratio by 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 by Liu, Xiangbei, Zhao, Huan, Tang, Ya, Chen, Chaofan, Zhu, Yifeng, Song, Bo, Li, Yan

“…Metamaterials with a zero Poisson’s ratio offer significant advantages in robotic actuation and space exploration due to their precise control of deformation…”
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CVAE ‐ SFA : A practical dual‐channel and multi‐index comprehensive operating performance assessment method for dynamic nonstationary industrial processes by Zhang, Zhipeng, Wei, Libin, Hao, Xiaochen, Huang, Gaolu, Hu, Jiahao, Lu, Tianqiang

“…The process operating performance assessment (POPA) of process industry plays a key role in the safe, stable, and efficient operation of production process…”
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Research on Abnormal Traffic Detection in Industrial Control Network Based on CVAE-CatBoost by 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…”
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Automatically Inverse Design of FSSs by Conditional Variational Autoencoder and Equivalent Circuit Models With Large Language Models by Shen, Jiajun, Liu, Jianfa, Qu, Changhao, Wang, Bao, Wang, Qian, Wei, Zhun

“…Recently, deep learning has attracted intensive attentions in electromagnetic society, especially for inverse problems. In this work, we propose two…”
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Developing a Conditional Variational Autoencoder to Guide Spectral Data Augmentation for Calibration Modeling by Mu, Guoqing, Chen, Junghui

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

“…Artificial neural networks (ANNs) are increasingly used for parameter extraction in semiconductor device modeling. However, in practice, a parameter ambiguity…”
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Spatiotemporal Fusion Network for Land Surface Temperature Based on a Conditional Variational Autoencoder by Chen, Yuncheng, Yang, Yingbao, Pan, Xin, Meng, Xiangjin, Hu, Jia

“…High spatiotemporal resolution land surface temperature (LST) data are essential for dynamic monitoring and prediction in climate change research. Due to the…”
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SpateCV: cross-modality alignment regularization of cell types improves spatial gene imputation for spatial transcriptomics by Yuan, Jiaqi, Yu, Junhua, Yi, Qianbei, Ye, Zheng, Xu, Peng, Liu, Wenbin

“…Background The integration of single-cell RNA sequencing (scRNA-seq) and high-resolution spatial transcriptomics (ST) could improve our understanding of both…”
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CGMFN: Conditional Generative Model Fusion Network for Land Surface Temperature Generation by 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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Structured Local Feature-Conditioned 6-DOF Variational Grasp Detection Network in Cluttered Scenes by Liu, Hongyang, Li, Hui, Jiang, Changhua, Xue, Shuqi, Zhao, Yan, Huang, Xiao, Jiang, Zhihong

“…One of the most crucial abilities for robots is to grasp objects accurately in cluttered scenes. This article proposes a structured local feature-conditioned…”
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Obstacle Avoidance Learning for Robot Motion Planning in Human-Robot Integration Environments by 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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Generating Long Financial Report Using Conditional Variational Autoencoders With Knowledge Distillation by Wang, Ziao, Ren, Yunpeng, Zhang, Xiaofeng, Wang, Yiyuan

“…Generating financial reports from a piece of news is a challenging task due to the lack of sufficient background knowledge to effectively generate long…”
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Heartbeat detection and personal authentication using a 60 GHz Doppler sensor by Asano, Takuma, Izumi, Shintaro, Kawaguchi, Hiroshi

“…Microwave Doppler sensors, capable of detecting minute physiological movements, enable the measurement of biometric information, such as walking patterns,…”
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A Variable Load Fault Detection and Diagnosis Method for Traction Systems of High-speed Trains by Li, Xuedong, Wang, Hongzhi, Wan, Zhiwei, Cheng, Chao

“…The traction systems of high-speed trains operate under variable load conditions, which induce significant variations in system data characteristics…”
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CVAE-based Far-sighted Intention Inference for Opponent Modeling in Multi-agent Reinforcement Learning by Pei, Yu, Xu, XiaoPeng, Liu, Zhong, Wang, Kuo, Zhu, Li, Wang, Dong

“…Most interactive environments are non-stationary for agents, as the behaviors of their opponents continually change, which can impair the performance of…”
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