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, ...
Microsoft has extended Entra’s powerful access control capabilities to on-premises applications — but you’ll need to rid your network of NTLM to take advantage of adding cloud features to your Active ...
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 ...
In this paper, we study an important class of generative models, variational autoencoder (VAE) and conditional variational autoencoder (CVAE), to learn the abstract probability distribution of the ...
Forbes contributors publish independent expert analyses and insights. Greg Licholai writes and teaches about innovation in healthcare. In a move that could dramatically reshape the landscape for rare ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results