Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Salima Nebti"'
Autor:
Salima Nebti, Mohammed Redjimi
Publikováno v:
Journal of Communications Software and Systems, Vol 19, Iss 4, Pp 230-243 (2023)
Wireless networks are frequently installed in arduous environments, heightening the importance of their consistent operation. To achieve this, effective strategies must be implemented to extend the lifespan of nodes. Energy-conserving routing protoco
Externí odkaz:
https://doaj.org/article/d33c4c68917e49319121bc75c6628671
Autor:
Salima Nebti, Mohammed Redjimi
Publikováno v:
Journal of Communications Software and Systems, Vol 18, Iss 3, Pp 259-268 (2022)
Reducing the sensors' energy expenditure to prolong the network lifespan as long as possible remains a fundamental problem in the field of wireless networks. Particularly in applications with inaccessible environments, which impose crucial constraint
Externí odkaz:
https://doaj.org/article/d344cf1c293f4062ac35b3a66a58e5a7
Autor:
Salima Nebti, Mohamed Redjimi
Publikováno v:
International journal of electrical and computer engineering systems. 14:1-11
The design of efficient communication protocols for wireless sensor networks has aroused great interest in the research community, especially in the face of the limited energy of sensor nodes and the frequent change in network topology. Routing remai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10692134816d5a991e0778af88cfdb3a
https://doi.org/10.32985/ijeces.14.1.1
https://doi.org/10.32985/ijeces.14.1.1
Autor:
Abdallah Boukerram, Salima Nebti
Publikováno v:
Swarm and Evolutionary Computation. 32:150-166
Facial recognition is a challenging issue in pattern recognition arising from the need for high security systems capable of overcoming the variability of the acquisition environment such as illumination, pose or facial expression. A broad range of re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13515772212bff98aea9aadb4999c1e9
https://doi.org/10.1016/j.swevo.2016.07.001
https://doi.org/10.1016/j.swevo.2016.07.001
Autor:
Salima Nebti
Publikováno v:
International Journal of Computer Applications. 73:11-16
Effective image segmentation remains a challenging process as it constitutes a critical step to higher level image processing applications such as pattern recognition. In this paper, we present bio-inspired formulation to perform unsupervised image s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9492940cd4bc4088870051d96a10b8e9
https://doi.org/10.5120/12840-9810
https://doi.org/10.5120/12840-9810
Autor:
Abdellah Boukerram, Salima Nebti
Publikováno v:
Applied Intelligence. 38:146-159
The enormous services obtainable by bank and postal systems are not 100 % guaranteed due to variability of handwriting styles. Various methods based on neural networks have been suggested to address this issue. Unfortunately, they often fall into loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb0c86565649f93087b78acf330da7e3
https://doi.org/10.1007/s10489-012-0362-z
https://doi.org/10.1007/s10489-012-0362-z
Autor:
Salima Nebti, Souham Meshoul
Publikováno v:
International Journal of Intelligent Computing and Cybernetics. 2:228-242
PurposeThe purpose of this paper is to describe a work that aims to solve contour detection problem using a planar deformable model and a swarm‐based optimization technique. Contour detection is an important task in image processing as it allows de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93067c77745651167eed04de7a93ef57
https://doi.org/10.1108/17563780910959884
https://doi.org/10.1108/17563780910959884
Autor:
Abdellah Boukerram, Salima Nebti
Publikováno v:
2010 International Conference on Machine and Web Intelligence.
Co-evolutionary algorithms are a class of adaptive search meta-heuristics inspired from the mechanism of reciprocal benefits between species in nature. The present work proposes a cooperative co-evolutionary algorithm to improve the performance of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d861bd14c944dc382c4d08210f07d64
https://doi.org/10.1109/icmwi.2010.5647872
https://doi.org/10.1109/icmwi.2010.5647872
Autor:
Salima Nebti
Publikováno v:
Information Computing and Applications ISBN: 9783642161667
ICICA (LNCS)
ICICA (LNCS)
The present paper places specific swarm based optimization methods that are the predator prey optimizer, the symbiotic algorithm, the cooperative co-evolutionary optimizer and the bees' algorithm in color image segmentation framework to offer global
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40dbdcf07f999059c0225d2b02d9f66e
https://doi.org/10.1007/978-3-642-16167-4_36
https://doi.org/10.1007/978-3-642-16167-4_36
Autor:
Salima Nebti, Abdellah Boukerram
Publikováno v:
Networked Digital Technologies ISBN: 9783642142918
NDT (1)
NDT (1)
In this paper, the problem of handwritten digits recognition is addressed using swarm based optimization methods. These latter have been shown to be useful for a wide range of applications such as functional optimization. The proposed work places spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcc3030e61068581a7a5d1c4fd589a30
https://doi.org/10.1007/978-3-642-14292-5_6
https://doi.org/10.1007/978-3-642-14292-5_6