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

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.

• 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

@@ Line 1: / Line 1: @@
 •	'''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''':
+•	'''Applicable Business Category''': Manufacturing
-•	'''Relevant Domain/Industry''': Manufacturing
+•	'''Application in relevant Projects/Initiatives''': N.A.
-•	'''Application in relevant Projects/Initiatives''':
+•	'''Asset Type''': Jupyter Notebook
-•	'''Type''':
+•	'''AI Breadth''': ML, Neural Networks
-•	'''AI Breadth''':
+•	'''Learning Ability''': Interpretable ML, Classification, Regression
-•	'''Learning Ability''':
+•	'''Related technologies''': Python Notebooks
-•	'''Related technologies''':
+•	'''Applicable Research Area''': Explainable AI
-•	'''License Information''': Proprietary license
+•	'''Applicable Technical Category''': Machine Learning, Robotics and automation
-•	'''Related to circularity and sustainability''':
+•	'''License Information''': GNU General Public License (GPL) v3
-•	'''Audience''': Manufacturer
+•	'''Related to circularity and sustainability''': Not directly
+•	'''Audience''': Manufacturers