All Outputs (4)

Investigating multi-level ontology to support manufacturing during demand fluctuation (2023)
Presentation / Conference Contribution
Kazantsev, N., Niewiadomski, K., Martínez-Arellano, G., Elshafei, B., Mo, F., & Murthy, S. R. (2023). Investigating multi-level ontology to support manufacturing during demand fluctuation. In Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023). https://doi.org/10.1049/icp.2023.1752

Responding to demand fluctuations represents a challenge for manufacturers, as they often face resource limitations and cannot assess all potential solutions. This paper presents a low-cost semantic engineering solution (ontology) to coordinate poten... Read More about Investigating multi-level ontology to support manufacturing during demand fluctuation.

Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision (2023)
Presentation / Conference Contribution
Mo, F., Ur Rehman, H. U., Elshafei, B., Chaplin, J. C., Sanderson, D., Martínez-Arellano, G., & Ratchev, S. (2023). Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision. In Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023). https://doi.org/10.1049/icp.2023.1736

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 innov... Read More about Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision.

Offshore wind resource assessment based on scarce spatio-temporal measurements using matrix factorization (2022)
Journal Article
Elshafei, B., Peña, A., Popov, A., Giddings, D., Ren, J., Xu, D., & Mao, X. (2023). Offshore wind resource assessment based on scarce spatio-temporal measurements using matrix factorization. Renewable Energy, 202, 1215-1225. https://doi.org/10.1016/j.renene.2022.12.006

In the pre-construction of wind farms, wind resource assessment is of paramount importance. Measurements by lidars are a source of high-fidelity data. However, they are expensive and sparse in space and time. Contrarily, Weather Research and Forecast... Read More about Offshore wind resource assessment based on scarce spatio-temporal measurements using matrix factorization.

A hybrid solution for offshore wind resource assessment from limited onshore measurements (2021)
Journal Article
Elshafei, B., Peña, A., Xu, D., Ren, J., Badger, J., Pimenta, F. M., …Mao, X. (2021). A hybrid solution for offshore wind resource assessment from limited onshore measurements. Applied Energy, 298, Article 117245. https://doi.org/10.1016/j.apenergy.2021.117245

In wind resource assessments, which are critical to the pre-construction of wind farms, measurements by LiDARs or masts are a source of high-fidelity data, but are expensive and scarce in space and time, particularly for offshore sites. On the other... Read More about A hybrid solution for offshore wind resource assessment from limited onshore measurements.