Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sabeur Masmoudi"'
Autor:
Chahnez Charfi Triki, Salma Zouari Mallouli, Marwa Ben Jdila, Mariem Ben Said, Fatma Kamoun Feki, Sarah Weckhuysen, Sabeur Masmoudi, Faiza Fakhfakh
Publikováno v:
Epilepsia Open, Vol 9, Iss 3, Pp 906-917 (2024)
Abstract Objective Mutations in the cyclin‐dependent kinase‐like 5 gene (CDKL5) are associated with a wide spectrum of clinical presentations. Early‐onset epileptic encephalopathy (EOEE) is the most recognized phenotype. Here we describe phenot
Externí odkaz:
https://doaj.org/article/c640a6965bed4f77a3a6d07f66909886
Autor:
Raja Amri, Ameni Chelly, Mariem Ayedi, Mohammed A. Rebaii, Sami Aifa, Sabeur Masmoudi, Hassib Keskes
Publikováno v:
Bone & Joint Research, Vol 13, Iss 2, Pp 84-91 (2024)
Aims: The present study investigated receptor activator of nuclear factor kappa-Β ligand (RANKL), osteoprotegerin (OPG), and Runt-related transcription factor 2 (RUNX2) gene expressions in giant cell tumour of bone (GCTB) patients in relationship wi
Externí odkaz:
https://doaj.org/article/9f8199cb506c4ffc89ff2234f94d7888
Publikováno v:
Optical Memory and Neural Networks. 28:151-164
In this work, we propose a novel model-based on a new Deep Hybrid Descriptor learning called DeepGLBSIF (Gabor Local Binarized Statistical Image Feature) for effective extraction and over-complete features in multilayer hierarchy. The typology of our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::280e00f710c94deb160bc717695ba667
https://doi.org/10.3103/s1060992x19030020
https://doi.org/10.3103/s1060992x19030020
Publikováno v:
ATSIP
Unconstrained Face Verification is still an important problem worth researching. The major challenges such as illumination, pose, occlusion and expression can produce more complex variations in both shape and texture of the face. In this paper, we pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69cba703fb5138868df05514c838249f
https://doi.org/10.1109/atsip49331.2020.9231764
https://doi.org/10.1109/atsip49331.2020.9231764
Autor:
Mofdi Dhouib, Sabeur Masmoudi
Publikováno v:
International Journal of Computer Applications. 148:41-47
Multimodal fusion for biometrics recognition system had gained specific attention nowadays thanks to its remarkable valuable results. For this approach, classification methods have been the basis of important recognition accuracy improvements. The ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acbe37cf74a9d1906f96f1dc2d5f334c
https://doi.org/10.5120/ijca2016911301
https://doi.org/10.5120/ijca2016911301
Publikováno v:
ATSIP
The term “Wild” refers to unconstrained face recognition considered as a challenging problem due to considerable intra-class variations resulting from lighting, occlusion, facial expressions and poses changes. These challenges greatly influence t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3feba0501b46dbebcf241eef1c080cd
https://doi.org/10.1109/atsip.2018.8364460
https://doi.org/10.1109/atsip.2018.8364460
Publikováno v:
ATSIP
In uncontrolled environments, the major challenges in face recognition, such as illumination variation, occlusion, facial expressions and poses, greatly affect the performance of Facial Recognition Systems (FRS) especially those based on 2D informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57f99b6c0166875f4f0f44044c61132d
https://doi.org/10.1109/atsip.2017.8075591
https://doi.org/10.1109/atsip.2017.8075591
Publikováno v:
ATSIP
One of the major challenges in face recognition is that related to the differences in orientation or pose, the variations of illumination, the facial expressions, the occlusions and aging. In this paper, we propose an efficient method for face recogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::239f4cf8ffb692dcf4cdbac2f6797d94
https://doi.org/10.1109/atsip.2016.7523134
https://doi.org/10.1109/atsip.2016.7523134
Publikováno v:
International Journal of Speech Technology. 16:273-284
This paper introduces a neural network optimization procedure allowing the generation of multilayer perceptron (MLP) network topologies with few connections, low complexity and high classification performance for phoneme's recognition. An efficient c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::745b0ac951cbd3f7fe83cc9c1b2b1599
https://doi.org/10.1007/s10772-012-9177-x
https://doi.org/10.1007/s10772-012-9177-x
Publikováno v:
International Journal of Speech Technology. 14:1-10
This paper describes an efficient constructive training algorithm using a Multi Layer Perceptron (MLP) neural network dedicated for Isolated Word Recognition (IWR) systems. Incremental training procedure was employed and this approach was based on no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4312349368559da0bc71f89d25b8b8dd
https://doi.org/10.1007/s10772-010-9082-0
https://doi.org/10.1007/s10772-010-9082-0