The problem of finding faults in oscillating data in the form of 3-phase current and voltage values is considered. While these kind of data have high resolutions, we give a solution to multivariate changing point detection, framed as an anomaly detection... read more of Finding Faults in 3-phase electrical lines using lossless reconstruction

Descriptive and predictive analytics for manufacturing legacy and operational data related to maintenance, delivering insights on critical manufacturing operations. read more of AI REGIO-S5 Enterprise Big Data Analytics Suite: Manufacturing

Image recognition and localization of objects for the update of a manufacturing digital twin using RGB-D information processed in distinct computation layers (Cloud, Edge, Local). read more of AI REGIO Intelligent Computer Vision for Digital Twin

A data analytics module that, leveraging Machine Learning techniques, processes all the data received from shopfloor to identify potential faults. read more of AI REGIO Industrial Faults Predictive Maintenance (IFPM)

Repository for training ASR models for dysarthic speech read more of Dysarthric speech ASR repository

In Deep Micro-Dictionary Learning and Coding Networks fundamental convolutional layers are replaced by novel compound dictionary learning and coding layers. read more of Deep Micro-Dictionary Learning and Coding Network

A new loss function for self-supervised representation learning, which is based on the whitening of the latent space features. read more of Whitening for Self-Supervised Representation Learning

A docker container to get the quality and yield predictions for the AI4AEU agriculture pilot read more of Yield prediction & Quality Model

A Python library to embed ML models in declarative optimization models read more of EMLlib