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

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• '''Short Description''':  
• '''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
• '''Reference, URL''':  


• '''Relevant Domain/Industry''': Manufacturing
• '''Relevant Domain/Industry''': Manufacturing
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• '''Application in relevant Projects/Initiatives''':  
• '''Application in relevant Projects/Initiatives''':  


• '''Type''':  
• '''Type''': Jupyter Notebook


• '''AI Breadth''':  
• '''AI Breadth''': ML


• '''Learning Ability''':
• '''Learning Ability''':
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• '''Related technologies''':
• '''Related technologies''':


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


• '''Related to circularity and sustainability''':  
• '''Related to circularity and sustainability''':  

Revision as of 07:47, 27 April 2023

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

Relevant Domain/Industry: Manufacturing

Application in relevant Projects/Initiatives:

Type: Jupyter Notebook

AI Breadth: ML

Learning Ability:

Related technologies:

License Information: GNU General Public License (GPL) v3

Related to circularity and sustainability:

Audience: Manufacturer



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