The Kennedy College of Sciences, Miner School of Computer & Information Sciences, invites you to attend a doctoral thesis defense by Madhavi Pagare on "Causal Learning-Enabled Hierarchical ...

This paper proposes a novel approach for hand gesture recognition using a triple-stack deep variational autoencoder. By employing a VAE framework, we facilitate both efficient representation learning ...

Fabric-based pressure sensors must consistently deliver stable performance under complex environmental conditions. This necessitates the development of fibers that exhibit high sensitivity and a broad ...

At AIA25, AI and architecture software reshape design with 3D scanning, digital twins, and tools advancing sustainable, adaptive building practices.

This repository provides reproducible implementation of the anomaly detection method based on a denoising autoencoder architecture with diffusion noise scheduling mechanism inspired by diffusion ...

A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides.. If you have the appropriate software installed, you can download article citation data ...

Predicting non-coding RNA-based regulatory networks in cancer metastasis using a heterogeneous hierarchical graph transformer. A transfer-learned hierarchical variational autoencoder model for ...

Why Ford decided to merge its next-gen architecture with its current platform The automaker’s software chief Doug Field explains why the company cancelled its ‘FNV4’ project, and why a ...