مؤتمر
Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision
| العنوان: | Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision |
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| المؤلفون: | Mo, F., Ur Rehman, H. U., Elshafei, B., Chaplin, J. C., Sanderson, D., Martínez-Arellano, G., Ratchev, S. |
| سنة النشر: | 2023 |
| المجموعة: | University of Nottingham: Repository@Nottingham |
| الوصف: | In the evolving digital landscape, Small and Medium-sized Enterprises (SMEs) grapple with the intricate task of managing vast manufacturing data while operating within budgetary constraints. Addressing this dichotomy, our research introduces an innovative and cost-conscious solution that marries the capabilities of Neo4j's knowledge graph with an AI-enhanced vision system. This integrated system adeptly captures real-time manufacturing data, including product images, configuration details, and specific parameters relevant to the leak testing process. This data is subsequently structured within a comprehensive knowledge graph, enabling SMEs to derive actionable insights and optimize their manufacturing decisions. By harnessing the affordability and scalability of Neo4j's cloud service, the approach we propose stands as a beacon for SMEs, positioning them for enhanced precision in leak testing, operational efficiency, and sustained growth in the digitized economy. |
| نوع الوثيقة: | conference object |
| اللغة: | unknown |
| العلاقة: | https://nottingham-repository.worktribe.com/output/29000890Test; https://nottingham-repository.worktribe.com/file/29000890/1/Efficient%20Decision-Making%20in%20SMEs%3A%20Leveraging%20Knowledge%20Graphs%20with%20Neo4j%20and%20AI%20VisionTest |
| DOI: | 10.1049/icp.2023.1736 |
| الإتاحة: | https://doi.org/10.1049/icp.2023.1736Test https://nottingham-repository.worktribe.com/file/29000890/1/Efficient%20Decision-Making%20in%20SMEs%3A%20Leveraging%20Knowledge%20Graphs%20with%20Neo4j%20and%20AI%20VisionTest https://nottingham-repository.worktribe.com/output/29000890Test |
| حقوق: | openAccess ; https://creativecommons.org/licenses/by/3.0Test/ |
| رقم الانضمام: | edsbas.FADDA16 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1049/icp.2023.1736 |
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