Zobrazeno 1 - 10
of 1 866
pro vyhledávání: '"BADR, M. A."'
While existing literature relies on performance differences to uncover gender biases in ASR models, a deeper analysis is essential to understand how gender is encoded and utilized during transcript generation. This work investigates the encoding and
Externí odkaz:
http://arxiv.org/abs/2406.09855
Pre-trained Transformer-based speech models have shown striking performance when fine-tuned on various downstream tasks such as automatic speech recognition and spoken language identification (SLID). However, the problem of domain mismatch remains a
Externí odkaz:
http://arxiv.org/abs/2312.07338
Publikováno v:
Alexandria Engineering Journal, Vol 114, Iss , Pp 426-439 (2025)
The primary goal of this research is to investigate the impact of partial slip and variable permeability on the dynamics of blood flow in a constricted artery filled with a porous medium, and to assess the influence of an externally applied magnetic
Externí odkaz:
https://doaj.org/article/2ecdc61a48af49e392d57176bfa52357
Self-supervised representation learning for speech often involves a quantization step that transforms the acoustic input into discrete units. However, it remains unclear how to characterize the relationship between these discrete units and abstract p
Externí odkaz:
http://arxiv.org/abs/2306.02405
Autor:
Faouzi Askri, Sofiene Mellouli, Talal Alqahtani, Salem Algarni, Badr M. Alshammari, Lioua Kolsi
Publikováno v:
Alexandria Engineering Journal, Vol 98, Iss , Pp 103-113 (2024)
While there are some hydrogen refueling stations (HRS) functioning in different parts of the world, their use is not widespread enough, primarily due to their expensive cost. Hydrogen compression is a main contributor to the capital and operation cos
Externí odkaz:
https://doaj.org/article/5859ce742dfb432f8499b21c7df145d1
Publikováno v:
2024, Aug Vol 1
The artificial intelligence (AI) system designer for thermal comfort faces insufficient data recorded from the current user or overfitting due to unreliable training data. This work introduces the reliable data set for training the AI subsystem for t
Externí odkaz:
http://arxiv.org/abs/2303.03873
Autor:
Abdullah, Badr M., Klakow, Dietrich
Acoustic word embeddings (AWEs) are vector representations such that different acoustic exemplars of the same word are projected nearby in the embedding space. In addition to their use in speech technology applications such as spoken term discovery a
Externí odkaz:
http://arxiv.org/abs/2301.03012
Autor:
Saleh Chebaane, A.M. Obalalu, Amir Abbas, Fizza Anwar, Adnan, Mouloud Aoudia, Badr M. Alshammari, Mohamed Bouzidi, Lioua Kolsi
Publikováno v:
Case Studies in Thermal Engineering, Vol 64, Iss , Pp 105531- (2024)
The study of ternary nanofluids has gained significant interest in engineering and biomedical applications due to their enhanced thermal conductivity and heat transfer properties. This research specifically focuses on electromagnetic hydrodynamic (EM
Externí odkaz:
https://doaj.org/article/2a434f0edc064b4dbaf4c657fa226708
Autor:
Kaouther Ghachem, Sami Ullah Khan, Nermeen Abdullah, Faiza Benabdallah, Badr M. AlShammari, Lioua Kolsi
Publikováno v:
Case Studies in Thermal Engineering, Vol 64, Iss , Pp 105533- (2024)
The non-Newtonian nanofluids offer important applications in advanced thermal systems by enhancing the cooling efficiency and controlling the heat transfer phenomenon. This study investigates the oscillatory bioconvective flow of viscoelastic nanoflu
Externí odkaz:
https://doaj.org/article/356fe8f20d764755b83beac5aa907315
Autor:
A. M. Rashad, Lioua Kolsi, M. A. Mansour, T. Salah, Ahmed Mir, Taher Armaghani, Badr M. Alshammari
Publikováno v:
Frontiers in Chemistry, Vol 12 (2024)
The present investigation deals with the natural convection (NC) of Al2O3-Cu-water hybrid nanofluid (HNF) within a “ π”-shaped cavity under the influence of an externally applied magnetic field (MF). Also we studied the porous media with radiati
Externí odkaz:
https://doaj.org/article/4f377a2fd6e54becb1276ed01b8d5d17