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A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides. Authors: Farzad Midjani, Hossein ... Next, the CVAE encoder used local and global feature ...
Variational Autoencoder that is trained to generate or reconstruct audio of spoken digits from 0 to 9. audio variational-autoencoder mnist-audio. Updated Sep 20, 2024 ... The work I've done about the ...
Keywords: multi-source data fusion, deep convolutional autoencoder, slope displacement, rainfall, health monitoring. Citation: Han N, Miao W, Li M, Mohamad Ismail MA, Hu Q, Duan L and Tang J (2025) ...
Recently, learned image compression has shown remarkable progress, and its compression efficiency has outperformed the traditional image coding standard like JPEG2000. However, existing learned ...
Efficient Calibration of Agent-Based Traffic Simulation Using Variational Auto-Encoder - IEEE Xplore
In agent-based traffic simulation, calibration is an essential stage before the models applied to reproduce the individual/group travel behaviors. While traditional methods suffer from a high ...
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