Novel AI platform accelerates discovery of chemical catalysts for industry

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...
Scientific Research Publishing

Sonani, R. and Govindarajan, V. (2022) A Hybrid Cloud-Integrated Autoencoder-GNN Architecture for Adaptive, High-Dimensional Anomaly Detection in US Financial Services ...

ABSTRACT: Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex ...
IEEE

Channel-Adaptive Autoencoder Architecture for Terahertz Aerospace Communications

Abstract: The terahertz (THz) aerospace communication has garnered increasing attention due to its potential to meet the ultra-broadband transmission demand of space-air backbone networks. However, ...
C&EN

EncoderMap III: A Dimensionality Reduction Package for Feature Exploration in Molecular Simulations

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. EncoderMap is a dimensionality reduction method that is tailored for the analysis of ...
Scientific Research Publishing

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications ()

The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...
Frontiers

Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale

1 Natural and Artificial Cognition Laboratory, Department of Humanistic Studies, University of Naples “Federico II”, Naples, Italy 2 Department of Translational Medical Science, University of Naples ...
Frontiers

Generation and discrimination of autism MRI images based on autoencoder

This study aims to explore an autoencoder-based method for generating brain MRI images of patients with Autism Spectrum Disorder (ASD) and non-ASD individuals, and to discriminate ASD based on the ...