Sarah Ayad

Orcid: 0009-0000-4389-9827

According to our database1, Sarah Ayad authored at least 13 papers between 2012 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Ontology Population With Large Language Models (LLMs): A Case Study on Asbestos Ontology.
Appl. Ontology, 2025

Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction.
IEEE Access, 2025

Dynamic Prompt-Based Framework for Pragmatic Quality Improvement in Business Process Models.
IEEE Access, 2025

2024
Prompt engineering techniques for semantic enhancement in business process models.
Bus. Process. Manag. J., 2024

Exploring ChatGPT Prompt Engineering for Business Process Models Semantic Quality Improvement.
Proceedings of the Good Practices and New Perspectives in Information Systems and Technologies, 2024

Improving BPMN XOR Gateway Labels through Dynamic Prompt Engineering.
Proceedings of the International Conference on Microelectronics, 2024

2023
Towards a Meta-Modeling Approach for Business Process Models Improvement Based on Ontological Analysis.
Proceedings of the 9th International Conference on Control, 2023

2013
Improving Business Process Model Quality Using Domain Ontologies.
J. Data Semant., 2013

2012
A quality based approach for the analysis and design of Business Process models.
Proceedings of the Sixth International Conference on Research Challenges in Information Science, 2012

Domain Knowledge Based Quality for Business Process Models.
Proceedings of the 17th International Conference on Information Quality, 2012

Gestion de la qualité des Modèles de Processus Métier : Méthode et Outil .
Proceedings of the Actes du XXXème Congrès INFORSID, Montpellier, France, 29 - 31 mai 2012, 2012

Aligning Business Process Models and Domain Knowledge: A Meta-modeling Approach.
Proceedings of the Advances in Databases and Information Systems, 2012

Towards A Semantic Quality Based Approach for Business Process Models Improvement.
Proceedings of the Australasian Conference on Information Systems, 2012


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