Home › Researcher directory › Siwar Slimi
Siwar Slimi
Affiliation : University of Sfax · National School of Electronics and Telecommunications of Sfax, Tunisia
- 4Publications (affiliation in Tunisia)
- 4Total publications
- 3Citations
- 1h-index
Research profile
Siwar Slimi has 4 indexed publications (2025–2026). Their work appears mainly in “Springer eBooks”, “Engineering Research Express” and “International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)”. Their most cited article, “Transfer learning-based facial emotion detection for enhanced driver safety: a hybrid approach” (2025), has been cited 2 times. Their work is co-authored with at least 5 researchers.
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
- Emotion and Mood Recognition
- Face recognition and analysis
- Advanced Neural Network Applications
- Face and Expression Recognition
- Glioma Diagnosis and Treatment
Publications (4)
- Facial Emotion Recognition for Intelligent Driving Systems: A Deep Learning-Based Approach and Multi-dataset Evaluation
- Transfer learning-based facial emotion detection for enhanced driver safety: a hybrid approach
- Brain Tumor Detection Approach Based on VGG16 and Transfer Learning
- Towards Safer Roads: Hybrid Deep Learning for Binary Facial Emotion Recognition in Driver Monitoring Systems
Publication venues
- Springer eBooks × 1
- Engineering Research Express × 1
- International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) × 1
- International Conference on Sciences and Techniques of Automatic Control and Computer Engineering × 1
Publications per year
- 20261
- 20253
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.