Welcome to the Assets Catalog! Here you can browse, search and download all the AI assets currently indexed in the AI4EU AI-on-demand platform, including AI libraries, datasets, containers, and more.
You are welcome to publish your own AI assets here! To do so, log in to the platform (click on the arrow icon at the upper right corner), go to your dashboard (click on the user icon), and use the "Submit new content" button to access the submission forms.
A Jupyter Notebook demo to demonstrate the partial content of FZI asset "Process integrated feedback management" which uses the historical multivariant time series data from a simulative robot manipulator to predict data in the future time steps based on ...
Descriptive and predictive analytics for manufacturing legacy and operational data related to maintenance, delivering insights on critical manufacturing operations.
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).
An implementation of the DBSCAN algorithm,that extracts mooring places out of AIS messages. Package also includes methods to analyze extracted clusters.
Application of a Neural Network trained with Reinforcement Learning method aimed to assign production resources to tasks in a production schedule during its execution.
A flexible tool able to identify and localize in Real-time the best object to pick in scene with a multitude of overlapped identical objects.
Dezyne is a programming language and a set of tools to specify, validate, verify, simulate, document, and implement concurrent control software for embedded and cyber-physical systems.
A data analytics module that, leveraging Machine Learning techniques, processes all the data received from shopfloor to identify potential faults.
Data preprocessing, Feature Engineering, Model Development, Evaluation & Selection for Predictive Maintenance in Manufacturing.
The DIDA (Digital Industry Data Analytics) Platform is an OSS Digital Manufacturing Platform, aiming to become a reference implementation for any Industry 4.0 Data Analytics need, enabling the development of applications in several industrial domains.