Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Faisal Al-Saqqar"'
Autor:
Ibrahim Al-Shourbaji, Pramod Kachare, Sajid Fadlelseed, Abdoh Jabbari, Abdelazim G. Hussien, Faisal Al-Saqqar, Laith Abualigah, Abdalla Alameen
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-24 (2023)
Abstract Meta-Heuristic (MH) algorithms have recently proven successful in a broad range of applications because of their strong capabilities in picking the optimal features and removing redundant and irrelevant features. Artificial Ecosystem-based O
Externí odkaz:
https://doaj.org/article/1c5cdb016d3c40f3a46ceecf39455e52
Publikováno v:
International Journal of Data and Network Science, Vol 6, Iss 4, Pp 1249-1260 (2022)
This study proposes a Fusion, Feature-Level, Face Recognition System (FFLFRS) that is based on the Multi-Resolution, Singular Value Decomposition (MSVD) fusion technique. Face recognition in the FFLFRS is achieved via four processes: face detection,
Externí odkaz:
https://doaj.org/article/5ce63d32210a4b27969275483c25d456
Publikováno v:
Data, Vol 7, Iss 6, p 80 (2022)
This work presents a Multi-Resolution Discrete Cosine Transform (MDCT) fusion technique Fusion Feature-Level Face Recognition Model (FFLFRM) comprising face detection, feature extraction, feature fusion, and face classification. It detects core facia
Externí odkaz:
https://doaj.org/article/2be191eac8db4f458c229d7ed4c0b6d9
Publikováno v:
Computation, Vol 10, Iss 6, p 84 (2022)
Innumerable industries now use multi-agent systems (MASs) in various contexts, including healthcare, security, and commercial deployments. It is challenging to select reliable business protocols for critically important safety-related systems (e.g.,
Externí odkaz:
https://doaj.org/article/fd0e6c3e8f044d7db70b985181ed4ecc
Publikováno v:
2023 International Conference on Business Analytics for Technology and Security (ICBATS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a7481e18ae444495d1668873400424d
https://doi.org/10.1109/icbats57792.2023.10111325
https://doi.org/10.1109/icbats57792.2023.10111325
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 21:1-21
This paper is aimed at improving the performance of the word recognition system (WRS) of handwritten Arabic text by extracting features in the frequency domain using the Stationary Wavelet Transform (SWT) method using machine learning, which is a wav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb251f2c1b8898557f6f39b4c83bc849
https://doi.org/10.1145/3474391
https://doi.org/10.1145/3474391
Publikováno v:
International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 16 (2020); pp. 20-34
International Journal of Interactive Mobile Technologies, Vol 14, Iss 16, Pp 20-34 (2020)
International Journal of Interactive Mobile Technologies, Vol 14, Iss 16, Pp 20-34 (2020)
In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition model using the Local Binary Pattern (LBP) technique and two machine-learning approaches; Support Vector Machines (SVM) and Artificial Neural Network (ANN)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1736d3c3890e77e84f444f9433abdbeb
https://igi.indrastra.com/items/show/1792
https://igi.indrastra.com/items/show/1792
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
This paper aims to analayze and reason about group communicating social commitments in Multi-Agent Systems (MASs). In fact, this paper presents Computation Tree Logic Group Commitments ( $$\hbox {CTL}^{GC}$$ ), a temporal logic of group commitments f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fde7dfea16ca43719fab6b0fe49c3042
https://doi.org/10.1007/s12652-020-02498-7
https://doi.org/10.1007/s12652-020-02498-7
Publikováno v:
International Journal of Advanced Computer Science and Applications. 10
In this paper, an offline holistic handwritten Arabic text recognition system based on Principal Component Analysis (PCA) and Support Vector Machine (SVM) classifiers is proposed. The proposed system consists of three primary stages: preliminary proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bae235fce69b56f3dbe4e21cc62c6fc
https://doi.org/10.14569/ijacsa.2019.0101227
https://doi.org/10.14569/ijacsa.2019.0101227
Publikováno v:
Expert Systems with Applications. 43:223-236
We developed a set of valid reasoning postulates in CTLKC+.We proved soundness and completeness of CTLKC+ using the correspondence theory.We used NetBill as a concrete application example to illustrate the postulates. Benthem's correspondence theory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3534a29418840ce004feac973a3dae43
https://doi.org/10.1016/j.eswa.2015.08.019
https://doi.org/10.1016/j.eswa.2015.08.019