Zobrazeno 1 - 10
of 3 086
pro vyhledávání: '"A. Musleh"'
Autor:
Alharthi, Musleh, Mahmood, Ausif
In recent years, transformer-based models have gained prominence in multivariate long-term time series forecasting (LTSF), demonstrating significant advancements despite facing challenges such as high computational demands, difficulty in capturing te
Externí odkaz:
http://arxiv.org/abs/2407.10240
Autor:
Amer Al Ali, Abdulaziz Asiri, Mohammed H Abu-Alghayth, Maryam Musleh Althobiti, Bandar Ali Al Hader, Zain Alhindi
Publikováno v:
Journal of Vector Borne Diseases, Vol 61, Iss 4, Pp 607-613 (2024)
Background & objectives: Anopheles funestus is playing an increasingly important role in malaria transmission in sub-Saharan Africa. Trehalase, an enzyme required for trehalose breakdown, is important for mosquito flight and stress adaptation. Hence,
Externí odkaz:
https://doaj.org/article/72e330a410e440d8a1d4a5d8b335190c
Publikováno v:
BMC Urology, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Malignant ureteral obstruction (MUO) is a serious health condition in which a malignant tumor compresses the ureter. The optimal decompressive intervention in MUO remains unclear. This study was conducted to assess and compare ren
Externí odkaz:
https://doaj.org/article/9dcef07896fb41248239b3ea69036d3f
Publikováno v:
Al-Rafidain Dental Journal, Vol 24, Iss 2, Pp 424-432 (2024)
Aims: The aims of the current study were to investigated and compared the effects of different concentrations of Thymus vulgaris and Lavandula angustifolia essential oils incorporated in orthodontic adhesive on compressive strength. Materials and Met
Externí odkaz:
https://doaj.org/article/cbfc5c548f36480787ac1edee8266c95
Autor:
Deafallah Alsadie, Musleh Alsulami
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Efficient scheduling of scientific workflows in hybrid cloud-edge environments is crucial for optimizing resource utilization and minimizing completion time. In this study, we evaluate various scheduling algorithms, emphasizing the Modified
Externí odkaz:
https://doaj.org/article/4dd5ed046ebd4d69a36277c63f23ffce
Autor:
Usama E. Abuelhassan, Abdelrahman M. Abdalla, Abdulaziz Alfaifi, Sultan K. Kadasah, Mohammed A. Alshehri, Haneen A. Alasiri, Salihah Y. Al-Mani, Ali S. Kadasah, Abdullah Musleh, Fawwaz A. Alshafa, Muhammad S. S. Qureshi, Abdulmohsen Y. Assiri, Abdulrahman I. Falqi, Bader I. Asiri, Haider M. O. Ahmed, Saleem Alshehri, Fasih U. Rahman, Muhammad A. Qureshi, Omar Abdelwahab, Sherif Mohamed, Ahmed R. I. Ali, Saad M. A. Alqahtani, Medhat Elnamaky
Publikováno v:
The Egyptian Journal of Bronchology, Vol 18, Iss 1, Pp 1-9 (2024)
Abstract Background We aimed to study the impact of biological therapies in Saudi Arabia on patients with severe asthma (SA) combined with chronic rhinosinusitis (CRS) in terms of clinical outcomes. Methods This is a retrospective observational cohor
Externí odkaz:
https://doaj.org/article/21f2831eb9504adeac9833b7c7fc9f63
We present the first implementation of Drinfeld modules fully integrated in the SageMath ecosystem. First features will be released with SageMath 10.0.
Externí odkaz:
http://arxiv.org/abs/2305.00422
Autor:
Musleh Alharthi, Ausif Mahmood
Publikováno v:
AI, Vol 5, Iss 3, Pp 1482-1495 (2024)
In recent years, transformer-based models have gained prominence in multivariate long-term time series forecasting (LTSF), demonstrating significant advancements despite facing challenges such as high computational demands, difficulty in capturing te
Externí odkaz:
https://doaj.org/article/efc2ad1154e84ae7833e888935f8c684
Autor:
Najia Ahmadi, Michele Zoch, Oya Guengoeze, Carlo Facchinello, Antonia Mondorf, Katharina Stratmann, Khader Musleh, Hans-Peter Erasmus, Jana Tchertov, Richard Gebler, Jannik Schaaf, Lena S. Frischen, Azadeh Nasirian, Jiabin Dai, Elisa Henke, Douglas Tremblay, Andrew Srisuwananukorn, Martin Bornhäuser, Christoph Röllig, Jan-Niklas Eckardt, Jan Moritz Middeke, Markus Wolfien, Martin Sedlmayr
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-17 (2024)
Abstract Background Given the geographical sparsity of Rare Diseases (RDs), assembling a cohort is often a challenging task. Common data models (CDM) can harmonize disparate sources of data that can be the basis of decision support systems and artifi
Externí odkaz:
https://doaj.org/article/cec2cc1927334a19b9fc237532e90f14
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Anticancer peptides (ACPs) perform a promising role in discovering anti-cancer drugs. The growing research on ACPs as therapeutic agent is increasing due to its minimal side effects. However, identifying novel ACPs using wet-lab experiments
Externí odkaz:
https://doaj.org/article/95c61c4ad99d44658bd387a8efea7bcd