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Tuning functions based adaptive backstepping control for uncertain strict-feedback nonlinear systems using barrier Lyapunov functions with full state constraints (2023)
Journal Article
Soukkou, Y., Tadjine, M., Soukkou, A., Nibouche, M., & Nouri, H. (2023). Tuning functions based adaptive backstepping control for uncertain strict-feedback nonlinear systems using barrier Lyapunov functions with full state constraints. European Journal of Control, 70, 100783. https://doi.org/10.1016/j.ejcon.2023.100783

This paper investigates the tuning functions based adaptive backstepping control for a class of uncertain strict-feedback nonlinear systems using barrier Lyapunov functions with full state constraints. The proposed adaptive control scheme is construc... Read More about Tuning functions based adaptive backstepping control for uncertain strict-feedback nonlinear systems using barrier Lyapunov functions with full state constraints.

Robust adaptive dynamic surface control scheme for a class of single‐input and single‐output uncertain nonlinear systems in strict‐feedback form (2022)
Journal Article
Soukkou, Y., Tadjine, M., Nibouche, M., & Zhu, Q. (2022). Robust adaptive dynamic surface control scheme for a class of single‐input and single‐output uncertain nonlinear systems in strict‐feedback form. International Journal of Adaptive Control and Signal Processing, 36(11), 2938-2952. https://doi.org/10.1002/acs.3486

This article presents a robust adaptive dynamic surface control using σ-modification adaptation laws for a class of single-input and single-output (SISO) uncertain nonlinear systems in strict-feedback form with parametric uncertainties and external d... Read More about Robust adaptive dynamic surface control scheme for a class of single‐input and single‐output uncertain nonlinear systems in strict‐feedback form.

Audio Localization for Robots Using Parallel Cerebellar Models (2018)
Journal Article
Baxendale, M., Pearson, M., Nibouche, M., Secco, E., & Pipe, T. (2018). Audio Localization for Robots Using Parallel Cerebellar Models. IEEE Robotics and Automation Letters, 3(4), 3185-3192. https://doi.org/10.1109/LRA.2018.2850447

© 2016 IEEE. A robot audio localization system is presented that combines the outputs of multiple adaptive filter models of the Cerebellum to calibrate a robot's audio map for various acoustic environments. The system is inspired by the MOdular Selec... Read More about Audio Localization for Robots Using Parallel Cerebellar Models.

Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males (2018)
Journal Article
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. (2018). Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males. Neurourology and Urodynamics, 37(S5), S327-S328. https://doi.org/10.1002/nau.23760

Detrusor underactivity (DU) and bladder outlet obstruction (BOO) bother almost half of elder men. Although the treatment is different for these two lower urinary tract symptoms, invasive pressure flow studies remains the only gold standard for diagno... Read More about Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males.

Median frequency and sum of amplitude changes in rising slope: Two potential non-invasive indicators for differentiating DU from BOO in males (2018)
Journal Article
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. (2018). Median frequency and sum of amplitude changes in rising slope: Two potential non-invasive indicators for differentiating DU from BOO in males. Neurourology and Urodynamics, 37(S5), S248-S249. https://doi.org/10.1002/nau.23760

It remains a challenge to non-invasively differentiate detrusor underactivity (DU) from bladder outlet obstruction (BOO) in males, and the gold standard is pressure flow studies, which is invasive, relatively expensive and may cause bleeding and infe... Read More about Median frequency and sum of amplitude changes in rising slope: Two potential non-invasive indicators for differentiating DU from BOO in males.

Urine flow rate shape template and intermittent flow in males (2018)
Journal Article
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. (2018). Urine flow rate shape template and intermittent flow in males. Neurourology and Urodynamics, 37(S5), 1-430. https://doi.org/10.1002/nau.23760

Uroflowmetry serves as a preliminary urodynamic test for physicians to indicate the possible cause of lower urinary tract symptoms. Alongside the most researched parameter maximum flow rate (Qmax), the shape of urine flow rate curve is also reported... Read More about Urine flow rate shape template and intermittent flow in males.

Urine flow rate curve shapes and their descriptors (2018)
Journal Article
Li, R., Zhu, Q., Nibouche, M., & Gammie, A. (2018). Urine flow rate curve shapes and their descriptors. Neurourology and Urodynamics, 37(8), 2938-2944. https://doi.org/10.1002/nau.23743

© 2018 Wiley Periodicals, Inc. Aims: To review the descriptors and definitions of urine flow rate curve shape with a view to promoting greater clarity and to propose standard terms. Methods: A search was made in the PubMed and ICS standardization do... Read More about Urine flow rate curve shapes and their descriptors.

Mathematical analysis on urine flow traces for non-invasive diagnosis of Detrusor underactivity in men (2017)
Journal Article
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. (2017). Mathematical analysis on urine flow traces for non-invasive diagnosis of Detrusor underactivity in men. Neurourology and Urodynamics, 36(S3), 87-88

Detrusor underactivity (DU) is still largely under researched and can only be diagnosed by invasive pressure flow studies (PFS). Theoretically, the flow shape of DU is different from bladder outlet obstruction (BOO), but in practice PFS is the only g... Read More about Mathematical analysis on urine flow traces for non-invasive diagnosis of Detrusor underactivity in men.

Complexity reduction in the H.264/AVC using highly adaptive fast mode decision based on macroblock motion activity (2015)
Journal Article
Amina, S., Mokhtar, N., Abdellah, S., Skoudarli, A., Nibouche, M., & Serir, A. (2015). Complexity reduction in the H.264/AVC using highly adaptive fast mode decision based on macroblock motion activity. Journal of Electronic Imaging, 24(6), 063015. https://doi.org/10.1117/1.JEI.24.6.063015

© 2015 SPIE and IS and T. The H.264/AVC video coding standard is used in a wide range of applications from video conferencing to high-definition television according to its high compression efficiency. This efficiency is mainly acquired from the newl... Read More about Complexity reduction in the H.264/AVC using highly adaptive fast mode decision based on macroblock motion activity.

Adaptive split spectrum processing for ultrasonic signal in the pulse echo test (2015)
Journal Article
Nibouche, M., Djerfi, F., Bouden, T., Bouden, T., Djefri, F., & Nibouche, M. (2015). Adaptive split spectrum processing for ultrasonic signal in the pulse echo test. Defektoskopiya / Russian Journal of Nondestructive Testing, 51(4), 245-257. https://doi.org/10.1134/S1061830915040038

© 2015, Pleiades Publishing, Ltd. In this paper, an Adaptive Split Spectrum Processing technique (A-SSP) is proposed, to improve ultrasonic echoes detection. It is an arrangement of conventional Split Spectrum Processing (SSP) with an empirical metho... Read More about Adaptive split spectrum processing for ultrasonic signal in the pulse echo test.

A bi-dimensional empirical mode decomposition based watermarking scheme (2014)
Journal Article
Biad, S., Bouden, T., Nibouche, M., & Elbasi, E. (2015). A bi-dimensional empirical mode decomposition based watermarking scheme. International Arab Journal of Information Technology, 12(1), 24-31

An invisible robust, non blind watermarking scheme for digital images is presented. The proposed algorithm combines the Discrete Wavelet Transform (DWT) and the Bi-dimensional Empirical Mode Decomposition (BEMD). Unlike previous works where the wat... Read More about A bi-dimensional empirical mode decomposition based watermarking scheme.

Design, analysis and implementation of real-time harmonics elimination: A generalised approach (2014)
Journal Article
Makhlouf, B., Bouchhida, O., & Nibouche, M. (2014). Design, analysis and implementation of real-time harmonics elimination: A generalised approach. IET Power Electronics, 7(9), 2424-2436. https://doi.org/10.1049/iet-pel.2013.0687

© The Institution of Engineering and Technology 2014. It is not a secret that the problem of harmonics and switching frequency can have a dreadful impact on switching power converters. To counter this problem, a variety of methods have been developed... Read More about Design, analysis and implementation of real-time harmonics elimination: A generalised approach.

Robust feature extraction from impedimetric signals using wavelet packet decomposition with application to cytotoxicity testing (2012)
Journal Article
Luxton, R., Wraith, P., Nibouche, M., Kiely, J., Abdul Djawad, Y., Djawad, Y. A., …Luxton, R. W. (2012). Robust feature extraction from impedimetric signals using wavelet packet decomposition with application to cytotoxicity testing. IET Science Measurement and Technology, 6(6), 456-463. https://doi.org/10.1049/iet-smt.2012.0009

Impedance-based cytotoxicity testing provides a simple, real-time and non-invasive assay technique that interferes minimally with cell morphology and function. In this study, impedimetric measurements of ECV304 cells with increasing concentrations of... Read More about Robust feature extraction from impedimetric signals using wavelet packet decomposition with application to cytotoxicity testing.

Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach (2007)
Journal Article
Pearson, M., Pipe, A. G., Mitchinson, B., Gurney, K., Melhuish, C., Gilhespy, I., & Nibouche, M. (2007). Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach. IEEE Transactions on Neural Networks, 18(5), 1472-1487. https://doi.org/10.1109/TNN.2007.891203

In this paper, we present two versions of a hardware processing architecture for modeling large networks of leaky-integrate-and-fire (LIF) neurons; the second version provides performance enhancing features relative to the first. Both versions of the... Read More about Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach.