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Hassène Gritli on Muck Rack

Hassène Gritli

As seen in: Frontiers, MDPI
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Articles

Quinary Classification of Human Gait Phases Using Machine Learning: Investigating the Potential of Different Training Methods and Scaling Techniques

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By Jyotindra Narayan, Hassène Gritli, Amal Mekni
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Fractional-order projection of a chaotic system with hidden attractors and its passivity-based synchronization

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By Kehui Sun, Leibniz's theorem, Vinod Patidar, Hassène Gritli
| Frontiers
1. Introduction Because chaos phenomenon is ubiquitous in diverse fields of science, such as electronics, mechanics, physics, optics, quantum, etc., it is imperative to continue discovering and analyzing chaotic systems. As well known, the chaotic attractors of dynamical systems can be classified as self-excited and hidden, which may contain one-scroll, two-scrolls, multi-wing, and multi-scrolls.
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