NAIT CHABANE Ahmed

Research and teaching interests

• Image Processing
• Artificial Intelligence
• Electronic Signal
• Processing Data
• Mining Features
• Extraction Industry 4.0
• Neural Network

Publications

• Nait Chabane Ahmed, Naveed Islam and Benoit Zerr, Incremental clustering of sonar images using self-organizing maps combined with fuzzy adaptive resonance theory, In Ocean Engineering, Volume 142, 2017, Pages 133-144, ISSN 0029-8018.
• Nait Chabane Ahmed, Zerr Benoit and Le Chenadec Gilles. Dynamic Self-organizing algorithm for unsupervised segmentation of sidescan sonar images. 2nd international conference and exhibition on Underwater Acoustics (UA2014), At Greece, Rhodes, 22-27 June 2014.
• Nait Chabane Ahmed, Zerr Benoit and Le Chenadec Gilles. Segmentation des images sonar latéral assurant l’invariance en rasance. Revue Traitement du Signal 30, 3-4-5/2013 (2013) 119-148.
• Nait Chabane, Ahmed, Zerr Benoit and Le Chenadec Gilles. Sidescan Sonar Imagery Segmentation with a Combination of Texture and Spectral Analysis. Proceedings of Ocean’13 IEEE/MTS. Bergen, Norway, 10-13 June 2013.
• Nait Chabane Ahmed, Zerr Benoit and Le Chenadec Gilles. Range-Independent segmentation of sidescan sonar images with unsupervised SOFM Algorithm (Self-Organizing Feature Maps). Proceedings of Meetings on Acoustics, POMA (JASA Publications). 17, 070005 (2012), http://dx.doi.org/10.1121/1.4764505.

Supervisions

• Supervised: 3 MS Students.
• Under-supervision: 1 PhD Student.