Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Mohamed Sayah"'
Publikováno v:
ISA Transactions. 113:28-38
Efficiency and robustness in remaining useful life (RUL) prediction are crucial in system health monitoring. Thus, the internal logic computation of a Deep LSTM model for RUL prediction is mainly shaped and evaluated over a training data-set and its
Publikováno v:
Automatic Control and Computer Sciences. 55:15-25
This paper introduces a new deep learning model for Remaining Useful Life (RUL) prediction of complex industrial system components using Gaussian Mixture Models (GMMs). The used model is an enhanced deep LSTM approach, for which Gaussian mixture clus
Publikováno v:
International Journal of Biological Macromolecules. 159:422-432
This work was designed to produce effective adsorbent from acrylamide (AAm), sodium methacrylate (SMA), and chitosan (CTS) through free radical grafting polymerization for removing the Fuchsin dye from its solution. The gel fraction and the grafting
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030948924
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31ba7c0d3368bf6dae5e8bde44bbe7ef
https://doi.org/10.1007/978-3-030-94893-1_21
https://doi.org/10.1007/978-3-030-94893-1_21
Publikováno v:
11th International Conference of Pattern Recognition Systems (ICPRS 2021).
Publikováno v:
2020 Prognostics and Health Management Conference (PHM-Besançon).
This paper proposes a clustering based deep learning network to predict Remaining Useful Life or RUL for a system component. This RUL means length from current time to end of component useful life time. The objective of our approach is to perform in
Publikováno v:
Djilali, Yasser Abdelaziz Dahou, Sayah, Mohamed, McGuinness, Kevin ORCID: 0000-0003-1336-6477 and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 (2020) 3DSAL: an efficient 3D-CNN architecture for video saliency prediction. In: VISAPP: 15th International Conference on Computer Vision Theory and Applications, 27-29 Feb 2020, Valetta, Malta. ISBN 978-989-758-402-2
VISIGRAPP (4: VISAPP)
VISIGRAPP (4: VISAPP)
In this paper, we propose a novel 3D CNN architecture that enables us to train an effective video saliency prediction model. The model is designed to capture important motion information using multiple adjacent frames. Our model performs a cubic conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::677c69441ce0c53ab1aa369fe1f3ac1f
http://doras.dcu.ie/24019/
http://doras.dcu.ie/24019/
Publikováno v:
American Journal of Polymer Science and Technology. 5:55
Hydrogel polymers were prepared via graft polymerization of acrylamide (AAm) onto chitosan (CTS) backbone in the presence of methylene bisacrylamide (MBA) as cross-linker and ammonium persulfate (APS) as an initiator. Optimizing the crosslinking graf
Autor:
Goual Mohamed Sayah, Hachi Brahim El-Khalil, Benmessaoud Abdelkader, Badaoui Mohamed, Guesmi Mohamed
Publikováno v:
Applied Mechanics and Materials. 232:716-720
In this paper, we present a modeling of planar structures under dynamic loading containing stationary cracks in order to determine the dynamic stress intensity factor (DSIF). This parameter will be evaluated by using the eXtended Finite Element Metho
Autor:
Mohamed Sayah, Yahia Lebbah
Publikováno v:
International Journal of Mathematical Modelling and Numerical Optimisation. 7:121
We propose a population-based local search approach to generate automatically test cases for programs having floating point statements. The proposed approach, called GWW-MLFP (go with the winners using multi-precision arithmetic and local search for