Frontend and backend docker container for the application read more of ADIOS - I-NERGY - Backend Resources

Gitlab Source Code of the Assets read more of ADIOS - I-NERGY - GitLab Source Code

The docker contains the scripts to apply the trained model, trained saved in the resource folder. read more of ADIOS - I-NERGY Apply Model

The docker contains the execution script to train the models on a dataset with extended labels read more of ADIOS - I-NERGY Training Model

Link to a Git repository that includes the syntethic Data set and a Docker container that implements an API Gateway based on python Tornado framework, that implement the AI algorithm based on syntethic data, and the method useful to train and predict da... read more of Github link to API Gateway to transformer model AI

Demo application deployed on our server read more of ADIOS - I-NERGY Demo Application

This container provide the services for label extension on a tagged dataset using a voting algorithm. read more of ADIOS - I-NERGY- Label Extend

This asset is the open dataset used for the experiment and for develop the proof of concept. It is an open dataset of SCADA data for Energy Management Systems. read more of ADIOS - I-NERGY Open Dataset

In the project Super-power (I-NERGY Open Call I), FuVeX has developed Super-resolution algorithms to enhance the quality of the photos to inspect power lines. The execution of the algorithm is concentrated on the following line, which corresponds to t... read more of Super-resolution applied to power line inspection: Script

Generating good quality data in power line inspection to enable the use of AI technologies to automate the power line inspection process using drones Power lines require regular inspections to guarantee their structural health. This process has been co... read more of Super-resolution Services for power line drone inspections