Home › Researcher directory › Fatma Wafa
Fatma Wafa
Affiliation : Misurata University
- 3Publications (affiliation in Libya)
- 3Total publications
- 7Citations
- 1h-index
Research profile
Fatma Wafa has 3 indexed publications (2024). Their work appears mainly in “Journal of Advanced Manufacturing Systems”, “المجلة الدولية للعلوم الهندسية وتقنية المعلومات.” and “IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)”. Their most cited article, “Surface Roughness Prediction in Additive Manufacturing: Presenting the Power of Neural Networks Compared to Linear Regression” (2024), has been cited 6 times. Their work is co-authored with at least 1 researcher.
Is this you? Get your research seen
Create your free DzCademia profile and add your articles: they will show up more easily on Google and in AI assistants like ChatGPT, so more people can read and cite your work.
Create my free profile Add my publicationsResearch areas
- Advanced machining processes and optimization
- Additive Manufacturing Materials and Processes
- Additive Manufacturing and 3D Printing Technologies
Publications (3)
- Surface Roughness Prediction in Additive Manufacturing: Presenting the Power of Neural Networks Compared to Linear Regression
- Prediction of Surface Roughness in Additive Manufacturing Using Artificial Neural Networks
- Dominance of Neural Networks in Additive Manufacturing Surface Roughness Control
Publication venues
- Journal of Advanced Manufacturing Systems × 1
- المجلة الدولية للعلوم الهندسية وتقنية المعلومات. × 1
- IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA) × 1
Co-authors
Bibliographic data from OpenAlex (open database).
Why choose Dzcademia?
Profiles, articles and conference contributions: give your research a structured public presence. Integrated metadata help search engines and AI assistants identify your work and understand its references.
Comment with Google
Sign in with Google to comment directly on this page.