Zobrazeno 1 - 10
of 1 698
pro vyhledávání: '"Bahaj A"'
Autor:
Bahaj, Adil, Ghogho, Mounir
Asthma rates have risen globally, driven by environmental and lifestyle factors. Access to immediate medical care is limited, particularly in developing countries, necessitating automated support systems. Large Language Models like ChatGPT (Chat Gene
Externí odkaz:
http://arxiv.org/abs/2409.15815
Publikováno v:
Biology, Vol 11, Iss 8, p 1221 (2022)
The urgency of the COVID-19 pandemic caused a surge in the related scientific literature. This surge made the manual exploration of scientific articles time-consuming and inefficient. Therefore, a range of exploratory search applications have been cr
Externí odkaz:
https://doaj.org/article/8992525754b8457f9d07e1412e2d037b
Autor:
Massari, Hakim El, Gherabi, Noreddine, Mhammedi, Sajida, Ghandi, Hamza, Bahaj, Mohamed, Naqvi, Muhammad Raza
Publikováno v:
International journal of online and biomedical engineering, Volume 18, Issue 11, 2022, Pages 143 - 157
Cardiovascular disease is one of the chronic diseases that is on the rise. The complications occur when cardiovascular disease is not discovered early and correctly diagnosed at the right time. Various machine learning approaches, including ontology-
Externí odkaz:
http://arxiv.org/abs/2405.20414
Identification of Upregulating Genes, Transcription Factors, and miRNAs in Vitiligo. In silico Study
Publikováno v:
Clinical, Cosmetic and Investigational Dermatology, Vol Volume 17, Pp 2123-2139 (2024)
Ahmed Ibrahim AbdElneam,1,2 Mohammed Saleh Al-Dhubaibi,3 Saleh Salem Bahaj,4 Ghada Farouk Mohammed,5 Lina Mohammed Atef5 1Department of Clinical Biochemistry, Department of Basic Medical Sciences, College of Medicine, Shaqra University, Dawadmi, Saud
Externí odkaz:
https://doaj.org/article/7a95b7279ecb472b986b1cb2c183c2bf
Autor:
Jaymeson Gordon, Carlos Bravo-Perez, Luca Guarnera, Serhan Unlu, Naomi Kawashima, Arooj Ahmed, Christopher Haddad, Yasuo Kubota, Ishani Nautiyal, Fauzia Ullah, Danai Dima, Nakisha D. Williams, Tariq Kewan, Waled Bahaj, Hetty E. Carraway, Chao-Yie Yang, Carmelo Gurnari, Valeria Visconte, Jaroslaw P. Maciejewski
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-4 (2024)
Externí odkaz:
https://doaj.org/article/5ac3055fb4da4ce3afb8ec78e891a1df
Autor:
Oumechtaq Ismail, Abbdelmajid Laghzali, Tarik Bahaj, Oulidi Abderrahim, Amghar Lamya, Allaoui Abdelhamid, Mouadil Manal, Mustapha Boualoul, Bachaoui El Mostafa, Elkhaldi Khalid
Publikováno v:
Ecological Engineering & Environmental Technology, Vol 25, Iss 4, Pp 241-251 (2024)
Accurate climatic data, especially precipitation measurements, play a critical role in various studies concerning the water cycle, particularly in modeling flood and drought risks. Unfortunately, these datasets often suffer from temporary gaps that a
Externí odkaz:
https://doaj.org/article/d3e06cb39bfd4c7cacee7ee5680249ce
Knowledge Graph (KG) completion is an important task that greatly benefits knowledge discovery in many fields (e.g. biomedical research). In recent years, learning KG embeddings to perform this task has received considerable attention. Despite the su
Externí odkaz:
http://arxiv.org/abs/2207.14617
Autor:
Bahaj, Saleem, Malherbe, Frederic
Publikováno v:
In Journal of Financial Economics October 2024 160
Autor:
Yasuo Kubota, Xiaorong Gu, Laila Terkawi, Juraj Bodo, Bartlomiej P. Przychodzen, Hussein Awada, Nakisha Williams, Carmelo Gurnari, Naomi Kawashima, Mai Aly, Arda Durmaz, Minako Mori, Ben Ponvilawan, Tariq Kewan, Waled Bahaj, Manja Meggendorfer, Babal K. Jha, Valeria Visconte, Heesun J. Rogers, Torsten Haferlach, Jaroslaw P. Maciejewski
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract PHF6 mutations (PHF6 MT) are identified in various myeloid neoplasms (MN). However, little is known about the precise function and consequences of PHF6 in MN. Here we show three main findings in our comprehensive genomic and proteomic study.
Externí odkaz:
https://doaj.org/article/a86ae8fe55bc46c2af1a9650289584f9
Autor:
Adil Bahaj, Mounir Ghogho
Publikováno v:
IEEE Access, Vol 12, Pp 138351-138361 (2024)
Uncertain knowledge graphs (UKGs) offer a more realistic representation of knowledge by capturing the uncertainty associated with facts. However, existing UKG embedding methods primarily rely on structural information for confidence score prediction,
Externí odkaz:
https://doaj.org/article/0ee8c72ea97644ef8b8bec4eea112faa