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A generalized framework for straintronics in 2D quantum materials using group theory

Autor: Zemouri, R., Champagne, A. R., Maiti, S.

In the era of 2D and quasi-2D quantum materials one needs to model strain at the level of the Hamiltonian as opposed to a semi-classical approach. Corrections to the electronic Hamiltonian due to strain arise from two sources: deformations of the lat

Externí odkaz: http://arxiv.org/abs/2410.19095

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Akademický článek

Exploring discrimination and racism in healthcare: a qualitative phenomenology study of Dutch persons with migration backgrounds

Autor: Charifa Zemouri, Assia Nait Kassi, Wouter Arrazola de Oñate, Gökhan Çoban, Ama Kissi

Publikováno v: BMJ Open, Vol 14, Iss 6 (2024)

Objective To explore and characterise the discrimination and racism experienced in healthcare from the perspective of Dutch patients with a migration background.Design This was a qualitative phenomenological study incorporating an inductive thematic

Externí odkaz: https://doaj.org/article/0ae3b56720834655842b51849d48171f

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Akademický článek

Fault Detection Based on Vibration Measurements and Variational Autoencoder-Desirability Function

Autor: Rony Ibrahim, Ryad Zemouri, Antoine Tahan, Bachir Kedjar, Arezki Merkhouf, Kamal Al-Haddad

Publikováno v: IEEE Open Journal of Industry Applications, Vol 5, Pp 106-116 (2024)

In the field of electrical machines maintenance, accurate and timely diagnosis plays a crucial role in ensuring reliability and efficiency. Variational autoencoder (VAE) techniques have emerged as a promising tool for fault classification due to thei

Externí odkaz: https://doaj.org/article/a0239c3611ae4ccfb4c40aadbff3c71b

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Akademický článek

System Condition Monitoring Based on a Standardized Latent Space and the Nataf Transform

Autor: Adaiton Oliveira-Filho, Ryad Zemouri, Francis Pelletier, Antoine Tahan

Publikováno v: IEEE Access, Vol 12, Pp 32637-32659 (2024)

This work introduces a new condition monitoring approach for complex systems based on a standardized latent space representation. Latent variable models such as the variational autoencoders are widely used to analyze systems described by a high-dimen

Externí odkaz: https://doaj.org/article/0969a8ee7f0c4e738125573bf019b72b

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