Suchergebnisse - conditional variational autoencoder adaptive synthetic

Aviation Fuel Pump Fault Diagnosis Based on Conditional Variational Self-Encoder Adaptive Synthetic Less Data Enhancement von Liu, Tiejun, Zhang, Yaoping, Yin, Xiaojing, He, Weidong

“… To address this challenge, this paper proposes a fault diagnosis method for aircraft fuel pumps based on adaptive synthetic data augmentation using a Conditional Variational Autoencoder (CVAE …”
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Improving SMOTE via fusing conditional VAE for data-adaptive noise filtering: Improving SMOTE via fusing conditional VAE for data-adaptive noise filtering von Hong, Sungchul, An, Seunghwan, Jeon, Jong-June

“… ). We investigate the problem of the generative model for imbalanced classification and introduce a framework to enhance the SMOTE algorithm using Variational Autoencoders (VAE …”
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Risk Estimation for Financial Contracts: Data Imbalance Elimination and Impact of Different Data Rates von Caliskan, Elif Ezel, Yildizak, Burak, Ozcan, Dogan, Salbacak, Gurbet Alpay, Vural, Ulas, Aydin, Tarkan

“… ), Adaptive Synthetic Sampling Approach for Imbalanced Learning (ADASYN), Tabular Variational Autoencoder (TVAE …”
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Conditional Generative Adversarial Network Based on Self-Attention Mechanism and VAE Algorithm and Its Applications von Yang, Jianing, Zhao, Yanming, Jia, Zhiwei

“… Based on this, the paper proposes a "Conditional Generative Adversarial Network based on self-attention mechanism and Variational Autoencoder (VAE …”
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GenAI-Based Jamming and Spoofing Attacks on UAVs von Sonmez Sarikaya, Burcu, Bahtiyar, Serif

“… We use Variational Autoencoder, Gaussian Copula, Denoising Diffusion Probabilistic Model (DDPM …”
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Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering von Hong, Sungchul, An, Seunghwan, Jong-June Jeon

“… ). We investigate the problem of the generative model for imbalanced classification and introduce a framework to enhance the SMOTE algorithm using Variational Autoencoders (VAE …”
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Double Branch Image Dehazing Algorithm Based on Probabilistic Uncertainty Modeling von Zhou, Yuchao, Sun, Hongyu, Dong, Jingwei, Yan, Yinuo, Shao, Luyang

“… : distribution estimation and consensus decision-making: (1) constructing latent space distributions through Conditional Variational Autoencoder (CVAE …”
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Deep Probabilistic Modeling for Causal Inference and Decision Making von Wu, Yulun

“… Prior works using variational inference in counterfactual generative modeling have been focusing …”
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Deep Learning Methods for Fingerprint-Based Indoor and Outdoor Positioning von Alhomayani, Fahad

“… Outdoor positioning systems based on the Global Navigation Satellite System have several shortcomings that have deemed their use for indoor positioning …”
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A Learning-Based Integrated Framework of Motion Prediction and Planning for Connected and Automated Vehicles: Towards Interaction, Multi-Modality, and Relational Reasoning von Wu, Keshu

“… Predicting vehicle trajectories and ensuring safe and efficient trajectory planning are critical for the operational efficiency and safety of automated …”
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