1: TRUE Connector MVDS: Difference between revisions

Revision as of 11:07, 27 December 2024

• Purpose/Short Description:

• Applicable Data Spaces Building Block (see DSCC Buildign Blocks):Data Sovereignty & Trust

• Reference, URL:

• Completion Date :

• Challenge addressed:

• Applicable Business area :

• Affected Stakeholders:

• Key components:

• 'Benefits:

• Metrics/KPIs: Machine Learning

@@ Line 1: / Line 1: @@
-•	'''Short Description''':
+•	'''Purpose/Short Description''':
-Functions for training and evaluation of a stacked LSTM model to predict the time to produce a given item
-•	'''Reference, URL''': https://www.ai4europe.eu/research/ai-catalog/time-prediction-flexible-manufacturing
+•	'''Applicable Data Spaces Building Block (see DSCC Buildign Blocks)''':Data Sovereignty & Trust
-•	'''Applicable Business Category''': Manufacturing
+•	'''Reference, URL''':
-•	'''Application in relevant Projects/Initiatives''': AI4EU
+•	'''Completion Date ''':
-•	'''Asset Type''': Jupyter Notebook
+•	'''Challenge addressed''':
-•	'''AI Breadth''': ML, LSTM
+•	'''Applicable Business area ''':
-•	'''Learning Ability''': Deep learning, LSTM, Time series
+•	'''Affected Stakeholders''':
-•	'''Related technologies''': Python
+•	'''Key components''':
-•	'''Applicable Research Area''': Integrative AI
+•	'''Benefits'':
-•	'''Applicable Technical Category''': Machine Learning
-•	'''License Information''': MIT license (MIT)
-•	'''Related to circularity and sustainability''':  Yes
-•	'''Audience''': Manufacturers
+•	'''Metrics/KPIs''': Machine Learning
 Go back to the '''[[Solutions for circularity Data Space implementations]]'''