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Efficient decision-making in SMEs: leveraging knowledge gra..:

, In: Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023),

Mo, F. ; Rehman, H. U. ; Elshafei, B.... - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.1736

RT 
T1 <cTitle>Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023)</cTitle>: T1 <Title>Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10324451&Exemplar=1&LAN=DE
				
A1 Mo, F.
A1 Rehman, H. U.
A1 Elshafei, B.
A1 Chaplin, J. C.
A1 Sanderson, D.
A1 Martínez-Arellano, G.
A1 Ratchev, S.
YR 2023
K1 artificial intelligence
K1 cloud computing
K1 decision making
K1 semantic networks
K1 small-to-medium enterprises
K1 AI vision
K1 AI-enhanced vision system
K1 budgetary constraints
K1 comprehensive knowledge graph
K1 configuration details
K1 digitized economy
K1 efficient decision-making
K1 evolving digital landscape
K1 innovative cost-conscious solution
K1 integrated system
K1 intricate task
K1 leak testing process
K1 leveraging knowledge graphs
K1 manufacturing decisions
K1 Medium-sized Enterprises grapple
K1 Neo4j's cloud service
K1 Neo4j's knowledge graph
K1 operational efficiency
K1 product images
K1 realtime manufacturing data
K1 SMEs
K1 vast manufacturing data
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1736
DO https://doi.org/10.1049/icp.2023.1736
SF ELIB - SuUB Bremen

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