Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Badr Lahasan"'
Publikováno v:
IEEE Access, Vol 11, Pp 133891-133902 (2023)
Trust is a fundamental element in human relationships, playing a crucial role in decision-making processes. Despite its significance, numerous dimensions of perceived trustworthiness remain unexplored and warrant further investigation. Previous liter
Externí odkaz:
https://doaj.org/article/4dacc95264f44f30891a7ac92c626280
Autor:
Badr Lahasan, Hussein Samma
Publikováno v:
IEEE Access, Vol 10, Pp 8434-8448 (2022)
The development of an optimized deep learning intruder detection model that could be executed on IoT devices with limited hardware support has several advantages, such as the reduction of communication energy, lowering latency, and protecting data pr
Externí odkaz:
https://doaj.org/article/cf4d4df56d8f4b04985bbda98a9dc86b
Autor:
Badr Lahasan, Hussein Samma
Publikováno v:
IRBM. 41:195-204
Objectives Mammography mass recognition is considered as a very challenge pattern recognition problem due to the high similarity between normal and abnormal masses. Therefore, the main objective of this study is to develop an efficient and optimized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02654055ae587b9197eb9e685a7bee24
https://doi.org/10.1016/j.irbm.2020.01.005
https://doi.org/10.1016/j.irbm.2020.01.005
Publikováno v:
Neural Computing and Applications. 32:5147-5161
Simulated annealing (SA) was recognized as an effective local search optimizer, and it showed a great success in many real-world optimization problems. However, it has slow convergence rate and its performance is widely affected by the settings of it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a243d01d6f8a6a1d5774bde9dc2b026b
https://doi.org/10.1007/s00521-019-04008-z
https://doi.org/10.1007/s00521-019-04008-z
Publikováno v:
SN Computer Science. 1
Pedestrian detection from a drone-based images has many potential applications such as searching for missing persons, surveillance of illegal immigrants, and monitoring of critical infrastructure. However, it is considered as a very challenge compute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91b896984b560d8ecdaa92bb7a6dfc24
https://doi.org/10.1007/s42979-020-00125-y
https://doi.org/10.1007/s42979-020-00125-y
Autor:
Mohammed Azmi Al-Betar, Syaheerah Lebai Lutfi, Badr Lahasan, Rubén San-Segundo, Ibrahim Venkat
Publikováno v:
Information Sciences. 429:194-214
In this paper, we propose a memetic based framework called Optimized Symmetric Partial Facegraphs (OSPF) to recognize faces prone to adverse conditions such as facial occlusions, expression and illumination variations . Faces are initially segmented
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef1dbeaff749decf1c9c0f65d42f969c
https://doi.org/10.1016/j.ins.2017.11.013
https://doi.org/10.1016/j.ins.2017.11.013
Publikováno v:
Artificial Intelligence Review. 52:949-979
Face recognition is receiving a significant attention due to the need of facing important challenges when developing real applications under unconstrained environments. The three most important challenges are facial occlusion, the problem of dealing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8738c35d256301e01488a10c97dfdecd
https://doi.org/10.1007/s10462-017-9578-y
https://doi.org/10.1007/s10462-017-9578-y
Autor:
Syaheerah Lebai Lutfi, Ibrahim Venkat, Mohammed Azmi Al-Betar, Badr Lahasan, Philippe De Wilde
Publikováno v:
Applied Mathematics and Computation. 283:316-332
An intuitive graph optimization face recognition approach called Harmony Search Oriented-EBGM (HSO-EBGM) inspired by the classical Elastic Bunch Graph Matching (EBGM) graphical model is proposed in this contribution. In the proposed HSO-EBGM, a recen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecd2317ab1881bec4e02075e5a7dc5da
https://doi.org/10.1016/j.amc.2016.02.047
https://doi.org/10.1016/j.amc.2016.02.047
Publikováno v:
2014 International Conference on Computer and Information Sciences (ICCOINS).
A new approach to recognize occluded faces is presented in this paper to enhance the conventional Elastic Bunch Graph Matching (EBGM) technique. In the conventional EBGM approach, facial landmarks need to be chosen manually in the initial stage and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2773f3671d2fc0c76eed4b005d981346
https://doi.org/10.1109/iccoins.2014.6868371
https://doi.org/10.1109/iccoins.2014.6868371