A.9: LioNets on Time Series: Difference between revisions

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• '''License Information''': GNU General Public License (GPL) v3
• '''License Information''': GNU General Public License (GPL) v3


• '''Related to circularity and sustainability''':  
• '''Related to circularity and sustainability''': Not directly


• '''Audience''': Manufacturers
• '''Audience''': Manufacturers

Latest revision as of 09:20, 27 December 2024

Short Description: LioNets technique applied to the Turbofan Engine Degradation Simulation dataset (time-series data) LioNets on Time Series.

Reference, URL: https://www.ai4europe.eu/research/ai-catalog/lionets-time-series

Applicable Business Category: Manufacturing

Application in relevant Projects/Initiatives: N.A.

Asset Type: Jupyter Notebook

AI Breadth: ML, Neural Networks

Learning Ability: Interpretable ML, Classification, Regression

Related technologies: Python Notebooks

Applicable Research Area: Explainable AI

Applicable Technical Category: Machine Learning, Robotics and automation

License Information: GNU General Public License (GPL) v3

Related to circularity and sustainability: Not directly

Audience: Manufacturers



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