Zobrazeno 1 - 10 of 55 pro vyhledávání: '"Toufik BAKIR"'
1
Akademický článek
Robust Tracking Control of Wheeled Mobile Robot Based on Differential Flatness and Sliding Active Disturbance Rejection Control: Simulations and Experiments
Autor: Amine Abadi, Amani Ayeb, Moussa Labbadi, David Fofi, Toufik Bakir, Hassen Mekki
Publikováno v: Sensors, Vol 24, Iss 9, p 2849 (2024)
This paper proposes a robust tracking control method for wheeled mobile robot (WMR) against uncertainties, including wind disturbances and slipping. Through the application of the differential flatness methodology, the under-actuated WMR model is tra
Externí odkaz: https://doaj.org/article/6df748ea7de94cfb97fff44350788847
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3
Akademický článek
Robustly correlated key‐medical image for DNA‐chaos based encryption
Autor: Ichraf Aouissaoui, Toufik Bakir, Anis Sakly
Publikováno v: IET Image Processing, Vol 15, Iss 12, Pp 2770-2786 (2021)
Abstract Medical images include confidential and sensitive information about patients. Hence, ensuring the security of these images is a crucial requirement. This paper proposes an efficient and secure medical image encryption‐decryption scheme bas
Externí odkaz: https://doaj.org/article/4430d1d1ac6c49a2bca390af42ff872a
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4
Akademický článek
Multimodal biometric recognition systems using deep learning based on the finger vein and finger knuckle print fusion
Autor: Sara Daas, Amira Yahi, Toufik Bakir, Mouna Sedhane, Mohamed Boughazi, El‐Bay Bourennane
Publikováno v: IET Image Processing, Vol 14, Iss 15, Pp 3859-3868 (2020)
Recognition systems using multimodal biometrics attracts attention because they improve recognition efficiency and high‐security level compared to the unimodal biometrics system. In this study, the authors present a secure multimodal biometrics rec
Externí odkaz: https://doaj.org/article/04eb97d3bb254ed48daeb877f61b27c8
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7
Novel DV-Hop algorithm-based machines learning technics for node localization in range-free wireless sensor networks
Autor: Oumaima Liouane, Smain Femmam, Toufik Bakir, Abdessalem Ben Abdelali
Localization is a critical concern in many wireless sensor network (WSN) applications. Furthermore, correct information regarding the geographic placements of nodes (sensors) is critical for making the collected data valuable and relevant. Because of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edc83f10fe74264be1b083bd60b460aa
https://zenodo.org/record/8133904
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8
Two concurrent β-variable adaptive model-free controls of a seeded batch crystallizer
Autor: Nawel Afsi, Toufik Bakir, Anis Sakly, Sami Othman
Publikováno v: Transactions of the Institute of Measurement and Control. 45:533-545
The design of an efficient controller for a process of batch crystallization is still an important area of ongoing research. In this paper, a [Formula: see text]-variable adaptive model-free control ([Formula: see text]-AMFC) has been proposed to con
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ad24517264f407914998801ea3f3b1a1
https://doi.org/10.1177/01423312221117062
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10
Prediction of US 30-years-treasury-bonds mouvement and trading entry point using Robust 1DCNN-BiLSTM-XGBoost algorithm
Autor: Abdellah EL ZAAR, Nabil BENAYA, Toufik BAKIR, Amine MANSOURI, Abderrahim EL ALLATI
This paper proposes a novel algorithm that accurately predicts market trends and trading entry points for US 30-year-treasury bonds using a hybrid approach of 1-Dimensional Convolutional Neural Network (1DCNN), Long-Short Term Memory (LSTM), and XGBo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f3adac2813387ad13367898bbb6d9fc6
https://doi.org/10.22541/au.168079685.52841217/v1
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