Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mohamed Laid Hadjili"'
Publikováno v:
Archive of Mechanical Engineering, Vol vol. 69, Iss No 4, Pp 595-613 (2022)
In this paper, neural networks are presented to solve the inverse kinematic models of continuum robots. Firstly, the forward kinematic models are calculated for variable curvature continuum robots. Then, the forward kinematic models are implemented i
Externí odkaz:
https://doaj.org/article/fcf2041e65604b05ad51c71d5ded2567
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2015 (2015)
A fuzzy predictive controller using particle swarm optimization (PSO) approach is proposed. The aim is to develop an efficient algorithm that is able to handle the relatively complex optimization problem with minimal computational time. This can be a
Externí odkaz:
https://doaj.org/article/82f15ce8ca8c49a28984184afbf7dae9
Autor:
Abdelghani Tafsast, Aziz Khelalef, Karim Ferroudji, Mohamed Laid Hadjili, Ayache Bouakaz, Nabil Benoudjit
Publikováno v:
International Journal of Information Technology & Decision Making. :1-26
Classification of microemboli is important in predicting clinical complications. In this study, we suggest a deep learning-based approach using convolutional neural network (CNN) and backscattered radio-frequency (RF) signals for classifying microemb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e662d343601ae12402edea8799eb5417
https://doi.org/10.1142/s0219622022500742
https://doi.org/10.1142/s0219622022500742
Publikováno v:
Journal of Control, Automation and Electrical Systems. 33:1355-1363
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::758f2a0ce18445bcc2bafe1bb960df70
https://doi.org/10.1007/s40313-022-00914-1
https://doi.org/10.1007/s40313-022-00914-1
Publikováno v:
WSEAS TRANSACTIONS ON APPLIED AND THEORETICAL MECHANICS. 16:94-109
Optimized Proportional Integral Derivative controllers are designed to control the translational and rotational motions of a quadrotor system with six degrees of freedom. The teaching learning based optimization algorithm is used to obtain the propor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8db6cd360555f5a280d859c0bf428f4
https://doi.org/10.37394/232011.2021.16.10
https://doi.org/10.37394/232011.2021.16.10
Publikováno v:
Journal of Control, Automation and Electrical Systems. 32:1228-1243
In this work, an efficient constrained nonlinear predictive control algorithm, based on the meta-heuristic optimization strategy, is proposed. The aim is to develop a predictive control algorithm having a simple design and implementation procedure on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8625afca6ba578cb8fa35eb1f9d10146
https://doi.org/10.1007/s40313-021-00755-4
https://doi.org/10.1007/s40313-021-00755-4
Publikováno v:
IET Image Processing. 11:389-396
In radiotherapy using 18-fluorodeoxyglucose positron emission tomography (18F-FDG-PET), the accurate delineation of the biological tumour volume (BTV) is a crucial step. In this study, the authors suggest a new approach to segment the BTV in 18F-FDG-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4bc84bb7dcbabaf2b11aea408731ae1
https://doi.org/10.1049/iet-ipr.2016.1024
https://doi.org/10.1049/iet-ipr.2016.1024
Publikováno v:
International Journal of General Systems. 45:393-417
In this paper a constrained nonlinear predictive control algorithm, that uses the artificial bee colony (ABC) algorithm to solve the optimization problem, is proposed. The main objective is to derive a simple and efficient control algorithm that can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75936a8332d4b16b9eb8a6fed6a75f4a
https://doi.org/10.1080/03081079.2015.1086344
https://doi.org/10.1080/03081079.2015.1086344
Publikováno v:
2018 International Conference on Communications and Electrical Engineering (ICCEE).
Characterization of microembolic behavior, as solid or gaseous, guides to an efficient treatment protocol. In this study a new methodology to classify microembolic signals by Deep Convolutional Neural Networks (CNN) is implemented. The experimental s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5aa6ed6439dfddbcabdcf2b2d3d28a42
https://doi.org/10.1109/ccee.2018.8634521
https://doi.org/10.1109/ccee.2018.8634521
Publikováno v:
Applied Mechanics and Materials. 527:230-236
In this work a fuzzy model-based predictive control (FMPC) method that uses modified particle swarm optimization (PSO) is presented. The main objective of this work is the application of this method to the control of a Selective Compliant Assembly Ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44b604bf9437fa8e66dff2695213ae79
https://doi.org/10.4028/www.scientific.net/amm.527.230
https://doi.org/10.4028/www.scientific.net/amm.527.230