Zobrazeno 1 - 10
of 1 670
pro vyhledávání: '"A. Karout"'
Autor:
Yaroslav Shchur, Houda El Karout, Bouchta Sahraoui, Anatoliy Andrushchak, Guillermo Beltramo, Denys Pustovyi, Svetlana Vitusevich, Patrick Huber, Andriy V. Kityk
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract We demonstrate a hybrid nanocomposite combining mesoporous silica, p $$\hbox {SiO}_2$$ SiO 2 , as a host medium and guest lithium niobate $$\hbox {LiNbO}_3$$ LiNbO 3 nanocrystals embedded into tubular silica nanochannels by calcination of th
Externí odkaz:
https://doaj.org/article/85c34f8fb05349689d24103ac79ea682
Autor:
Shchur, Yaroslav1 (AUTHOR) shchur@icmp.lviv.ua, Karout, Houda El2,3 (AUTHOR), Sahraoui, Bouchta3 (AUTHOR), Andrushchak, Anatoliy4 (AUTHOR), Beltramo, Guillermo5 (AUTHOR), Pustovyi, Denys6 (AUTHOR), Vitusevich, Svetlana6 (AUTHOR), Huber, Patrick7,8 (AUTHOR), Kityk, Andriy V.9 (AUTHOR)
Publikováno v:
Scientific Reports. 10/16/2024, Vol. 14 Issue 1, p1-14. 14p.
Autor:
Abdul Haleem Malik, Mohammed Amer Karout, Haiyong Wan, Jose Ortiz Gonzalez, Philip Mawby, M. Taha
Publikováno v:
Power Electronic Devices and Components, Vol 9, Iss , Pp 100070- (2024)
Efficient management of high-magnitude current spikes during Dynamic Reverse Bias (DRB) reliability testing is critical for early detection of potential issues such as gate oxide degradation in wide bandgap (WBG) devices. This paper addresses the cha
Externí odkaz:
https://doaj.org/article/9bddaa8fa35e4f66af852a8189920fc1
End-to-end models have gradually become the main technical stream for voice trigger, aiming to achieve an utmost prediction accuracy but with a small footprint. In present paper, we propose an end-to-end voice trigger framework, namely WakeupNet, whi
Externí odkaz:
http://arxiv.org/abs/2210.02904
Autor:
Szukalska, A. a, ⁎, Cyprych, K. a, El Karout, H. b, c, Waszkowska, K. b, Chrzumnicka, E. d, Sahraoui, B. b, Migalska-Zalas, A. e, Myśliwiec, J. a
Publikováno v:
In Journal of Alloys and Compounds 25 December 2024 1009
Autor:
Malik, Abdul Haleem a, ⁎, Karout, Mohammed Amer a, Wan, Haiyong a, Gonzalez, Jose Ortiz a, Mawby, Philip a, Taha, M. a, b
Publikováno v:
In Power Electronic Devices and Components December 2024 9
Autor:
Laouid, Amina a, b, c, ⁎, El karout, Houda d, e, Belghiti, Amine Alaoui b, Wisniewski, Krzysztof a, c, Plociennik, Przemysław c, g, El kouari, Youssef f, Sahraoui, Bouchta d, Hajjaji, Abdelowahed b, Zawadzka, Anna a, c
Publikováno v:
In Optical Materials November 2024 157 Part 1
Self-supervised learning (SSL) is a powerful tool that allows learning of underlying representations from unlabeled data. Transformer based models such as wav2vec 2.0 and HuBERT are leading the field in the speech domain. Generally these models are f
Externí odkaz:
http://arxiv.org/abs/2202.03218
Autor:
Wang, Duo, Karout, Salah
Multi-Modal Self-Supervised Learning from videos has been shown to improve model's performance on various downstream tasks. However, such Self-Supervised pre-training requires large batch sizes and a large amount of computation resources due to the n
Externí odkaz:
http://arxiv.org/abs/2112.12182
Publikováno v:
SolarPACES Conference Proceedings, Vol 1 (2024)
The present paper exhibits a hybrid model for intrahour forecasting of direct normal irradiance (DNI). It combines a knowledge-based model, which is used for clear-sky DNI forecasting from DNI measurements, with a machine-learning-based model, that e
Externí odkaz:
https://doaj.org/article/c768a842fdb44069b0e51988e5a5c0e5