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Mohamed Hannat
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2020 – today
- 2023
- [c5]Zineb Farahat, Laura Lalondre, Nabila Zrira, Kamal Marzouki, Azar Abdeljelil, Mohamed Hannat, Ikhlass Serraji, Wassim Joualla, Imane Hilal, Ibtissam Benmiloud, Nabil Ngote, Kawtar Megdiche:
On the Use of Modeling 3D Reconstruction and 3D Printing Methods to Improve Simulation-Based Training in Cardiology. ASONAM 2023: 543-550 - 2020
- [p1]Nabila Zrira, Mohamed Hannat, El-Houssine Bouyakhf:
3D Object Categorization in Cluttered Scene Using Deep Belief Network Architectures. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 161-186
2010 – 2019
- 2019
- [j1]Fatima Zahra Ouadiay, Nabila Zrira, Mohamed Hannat, El-Houssine Bouyakhf, Mohamed Majid Himmi:
3D object classification based on deep belief networks and point clouds. Int. J. Comput. Vis. Robotics 9(6): 527-558 (2019) - 2017
- [c4]Nabila Zrira, Fatima Zahra Ouadiay, Mohamed Hannat, El-Houssine Bouyakhf, Mohamed Majid Himmi:
Evaluation of PCL's Descriptors for 3D Object Recognition in Cluttered Scene. BDCA 2017: 81:1-81:6 - [c3]Nabila Zrira, Mohamed Hannat, El-Houssine Bouyakhf:
VFH-Color and Deep Belief Network for 3D Point Cloud Recognition. IbPRIA 2017: 445-452 - [c2]Nabila Zrira, Mohamed Hannat, El-Houssine Bouyakhf, Haris Ahmad Khan:
Generative vs. Discriminative Deep Belief Netwok for 3D Object Categorization. VISIGRAPP (5: VISAPP) 2017: 98-107 - 2016
- [c1]Mohamed Hannat, Nabila Zrira, Younes Raoui, El-Houssine Bouyakhf:
A fast object recognition and categorization technique for robot grasping using the visual bag of words. ICMCS 2016: 173-178
Coauthor Index
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