Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Hajar Alharbi"'
Publikováno v:
IEEE Access, Vol 12, Pp 95762-95777 (2024)
The accurate speech recognition of the Holy Quran is crucial for maintaining the traditional recitation styles and pronunciations, which helps in preserving the authenticity of the Quranic teachings and ensuring their accurate transmission across gen
Externí odkaz:
https://doaj.org/article/8f14fa6b8b9c4784b832e000a6ec028e
Autor:
Abdullah Alawady, Asma Alharbi, Hajar Alharbi, Sarah Almesbah, Noor Alshammari, Ahmad Alkandari, Hesham Alhazmi, Hend Alqaderi
Publikováno v:
BMC Oral Health, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Dental caries is considered one of the most prevalent chronic diseases worldwide despite all dental public health efforts. Short sleep duration has been established as a risk factor for several medical conditions. In this study, w
Externí odkaz:
https://doaj.org/article/d9c70f74e84e4d6a9280181cc4a6862b
Publikováno v:
Future Business Journal, Vol 8, Iss 1, Pp 1-15 (2022)
Abstract The large number of online product and service review websites has created a substantial information resource for both individuals and businesses. Researching the abundance of text reviews can be a daunting task for both customers and busine
Externí odkaz:
https://doaj.org/article/29be93c995134b449ced826be25fb2ad
Autor:
Asma S. A Alshamarni, Galila F. Zaher, Hatem M. Alahwal, Hanadi S. Almutiry, Haneen Banjar, Salwa A. Alnajjar, Ahmed S. Barefah, Salem Bahashwan, Ghaidaa Ibraheem Almouhana, Hajar Alharbi
Publikováno v:
Health informatics journal. 27(1)
β-thalassemia is an inherited blood disorder in which the body cannot produce hemoglobin normally. Since patients with this condition receive blood transfusions regularly, iron builds up primarily in organs such as the heart, liver and endocrine gla
Publikováno v:
ACPR
The visual similarity between normal breast tissues and abnormal lesions in digital mammogram images makes computer-aided diagnosis of breast cancer using automatically detected features a highly error-prone task. Our contribution in this paper is a
Publikováno v:
IVCNZ
Segmenting suspicious regions in mammographic images that may contain tumours from the background parenchyma of the breast is a highly challenging task. This is made difficult by factors including the complicated structure of breast tissues, unclear
In the last decade, many computer-aided diagnosis (CAD) systems that utilize a broad range of diagnostic techniques have been proposed. Due to both the inherently complex structure of the breast tissues and the low intensity contrast found in most ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab4f5c4825d9a9fbc8ea4c45c16fa326
https://doi.org/10.4018/978-1-4666-1830-5.ch021
https://doi.org/10.4018/978-1-4666-1830-5.ch021
Autor:
Kanan, Mohammed1 (AUTHOR) mkaalshammari@kfmc.med.sa, Alharbi, Hajar2 (AUTHOR), Alotaibi, Nawaf3 (AUTHOR), Almasuood, Lubna4 (AUTHOR), Aljoaid, Shahad5 (AUTHOR), Alharbi, Tuqa6 (AUTHOR), Albraik, Leen7 (AUTHOR) lsalbraik@alfaisal.edu, Alothman, Wojod8 (AUTHOR), Aljohani, Hadeel9 (AUTHOR) hmaljohani@stu.kau.edu.sa, Alzahrani, Aghnar10 (AUTHOR), Alqahtani, Sadeem11 (AUTHOR), Kalantan, Razan9 (AUTHOR) rkalantan0006@stu.kau.edu.sa, Althomali, Raghad12 (AUTHOR), Alameen, Maram12 (AUTHOR), Mufti, Ahdab13 (AUTHOR)
Publikováno v:
Cancers. Feb2024, Vol. 16 Issue 3, p674. 18p.
Publikováno v:
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR); 2015, p221-225, 5p