Zobrazeno 1 - 10
of 2 637
pro vyhledávání: '"Elbanna A"'
Current state-of-the-art speech recognition models are trained to map acoustic signals into sub-lexical units. While these models demonstrate superior performance, they remain vulnerable to out-of-distribution conditions such as background noise and
Externí odkaz:
http://arxiv.org/abs/2410.05423
Pre-trained deep learning embeddings have consistently shown superior performance over handcrafted acoustic features in speech emotion recognition (SER). However, unlike acoustic features with clear physical meaning, these embeddings lack clear inter
Externí odkaz:
http://arxiv.org/abs/2409.09511
Autor:
Elbanna, Gasser
Speaker identity plays a significant role in human communication and is being increasingly used in societal applications, many through advances in machine learning. Speaker identity perception is an essential cognitive phenomenon that can be broadly
Externí odkaz:
http://arxiv.org/abs/2406.10401
Accurately predicting heart activity and other biological signals is crucial for diagnosis and monitoring. Given that speech is an outcome of multiple physiological systems, a significant body of work studied the acoustic correlates of heart activity
Externí odkaz:
http://arxiv.org/abs/2406.06341
Autor:
Nehal Adel Abdelsalam, Shahira A. ElBanna, Shaimaa F. Mouftah, José F. Cobo-Díaz, Ahmed H. Shata, Sherine M. Shawky, Reham Atteya, Mohamed Elhadidy
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Ongoing studies have revealed the global prevalence of severe infections caused by the hypervirulent strains of Klebsiella pneumoniae (K. pneumoniae). Meanwhile, the World Health Organization and the Centers for Disease Control de
Externí odkaz:
https://doaj.org/article/e6ece4ecdf1d45c29d417efcc326eccb
Autor:
Nouran A. Ibrahim, Hend A. Hamdy, Rana Hesham Mohamed Elbanna, Dina M.A. Mohamed, Ebtesam A. Ali
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-9 (2024)
Abstract Background The investigation aimed to assess the impacts of magnesium sulphate (MgSO4) iontophoresis and high-power pain-threshold ultrasound (HPPT-US) on pain, range of motion (ROM), and functional activity in physical therapy students suff
Externí odkaz:
https://doaj.org/article/df2c89fac76c4feeb05475dd51423328
Autor:
Nehal Raouf, Zeinab Elsayed Darwish, Omneya Ramadan, Hebatallah S. Barakat, Shimaa A. Elbanna, Marwa M. Essawy
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Background Herbal medicine combined with nanotechnology offers an alternative to the increasing burden of surgery and/or chemotherapy, the main therapeutics of oral carcinoma. Phytosomes are nano-vesicular systems formed by the interaction b
Externí odkaz:
https://doaj.org/article/9c31dd375ff94a5c90a897b7d73f13f8
Publikováno v:
Personnel Review, 2023, Vol. 53, Issue 6, pp. 1425-1442.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PR-05-2023-0424
Publikováno v:
Marketing Intelligence & Planning, 2024, Vol. 42, Issue 5, pp. 790-815.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MIP-08-2023-0430
Autor:
Abdelmeguid, Mohamed, Zhao, Chunhui, Yalcinkaya, Esref, Gazetas, George, Elbanna, Ahmed, Rosakis, Ares
Publikováno v:
Commun Earth Environ 4, 456 (2023)
The 2023 M7.8 Kahramanmara\c{s}/Pazarcik earthquake was larger and more destructive than what had been expected. Here we analyzed near-field seismic records and developed a dynamic rupture model that reconciles different currently conflicting inversi
Externí odkaz:
http://arxiv.org/abs/2305.01825