Researchers present a new generative AI model that can simultaneously design catalyst structures and predict their performance under specific reaction conditions. CatDRX is a generative AI framework ...
Architecture Laboratory, Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan Background: Microwave Doppler sensors, capable of detecting minute physiological movements, ...
Abstract: In this article, we propose a novel conditional generative flow-induced variational autoencoder (CGlow-VAE) model to address the critical challenge of the small sample issue in plasma ...
Classification of power system event data is a growing need, particularly where non-protective relaying-based sensors are used to monitor grid performance. Given the high burden of obtaining event ...
Following @Giulero suggestion, I will try to implement a Conditional Variational AutoEncoder to directly connect the input of the aerodynamic dataset (attitude and joint configurations) to the output ...
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