Home › Researcher directory › Othaila Chergui
Othaila Chergui
Affiliation : Université Larbi Tébessi
- 5Publications (affiliation in Algeria)
- 5Total publications
- 13Citations
- 2h-index
Research profile
Othaila Chergui has 5 indexed publications (2016–2026). Their work appears mainly in “Journal of Electronic Imaging”, “Informatica” and “Advances in intelligent systems and computing”. Their most cited article, “Pattern recognition system: from classical methods to deep learning techniques” (2018), has been cited 6 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
- Biometric Identification and Security
- User Authentication and Security Systems
- Gait Recognition and Analysis
- Advanced Neural Network Applications
- Smart Agriculture and AI
Publications (5)
- Optimizing Deep Learning Model Ensembles for Plant Disease Detection through Ablation and Correlation Analysis
- Pattern recognition system: from classical methods to deep learning techniques
- Can a chaos system provide secure communication over insecure networks?—Online automatic teller machine services as a case study
- Investments in Deep Learning Techniques for Improving the Biometric System Accuracy
- Combining palmprint & Finger-Knuckle-Print for user identification
Publication venues
- Journal of Electronic Imaging × 2
- Informatica × 1
- Advances in intelligent systems and computing × 1
- International Conference on Information Technology for Organizations Development (IT4OD) × 1
Publications per year
- 20261
- 20183
- 20161
Collaborations
Partner institutions : University of Sciences and Technology Houari Boumediene · Larbi Ben M'hidi University of Oum El Bouaghi
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.