Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Fatma M. Talaat"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Prostate cancer, the most common cancer in men, is influenced by age, family history, genetics, and lifestyle factors. Early detection of prostate cancer using screening methods improves outcomes, but the balance between overdiagnosis and ea
Externí odkaz:
https://doaj.org/article/2f77caa2b6e24d7fa24084d6624579f6
Publikováno v:
Bioengineering, Vol 11, Iss 8, p 822 (2024)
The global prevalence of cardiovascular diseases (CVDs) as a leading cause of death highlights the imperative need for refined risk assessment and prognostication methods. The traditional approaches, including the Framingham Risk Score, blood tests,
Externí odkaz:
https://doaj.org/article/d05b816d55834290a49245d6fc2e82a1
Autor:
Mai Ramadan Ibraheem, Saleh Naif Almuayqil, A.A. Abd El-Aziz, Medhat A. Tawfeek, Fatma M. Talaat
Publikováno v:
Egyptian Informatics Journal, Vol 24, Iss 3, Pp 100391- (2023)
The surface electromyography (sEMG) signal is a complex interference pattern resulting from the electrical activity of contracting muscles, which directly correlates with muscle activity and exercise level. Patellofemoral osteoarthritis (PF OA) refer
Externí odkaz:
https://doaj.org/article/5a9065bc8bd1464680ae02ceabaecca6
Autor:
Fatma M. Talaat, Abdussalam Aljadani, Bshair Alharthi, Mohammed A. Farsi, Mahmoud Badawy, Mostafa Elhosseini
Publikováno v:
Mathematics, Vol 11, Iss 18, p 3930 (2023)
In the evolving landscape of targeted marketing, integrating deep learning (DL) and explainable AI (XAI) offers a promising avenue for enhanced customer segmentation. This paper introduces a groundbreaking approach, DeepLimeSeg, which synergizes DL m
Externí odkaz:
https://doaj.org/article/e5eace35733b4351ba3decf72e097a8e
Autor:
Esraa Hassan, Samir Elmougy, Mai R. Ibraheem, M. Shamim Hossain, Khalid AlMutib, Ahmed Ghoneim, Salman A. AlQahtani, Fatma M. Talaat
Publikováno v:
Sensors, Vol 23, Iss 12, p 5393 (2023)
Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of the back part of the eye. The condition has a great effect on the specificity of diagnosis, the monitoring of many physiological and pathological pro
Externí odkaz:
https://doaj.org/article/008a4bc3d5fc478399a93da6a8dc4ee1
Autor:
Fatma M. Talaat, Abdelhameed Ibrahim, El-Sayed M. El-Kenawy, Abdelaziz A. Abdelhamid, Amel Ali Alhussan, Doaa Sami Khafaga, Dina Ahmed Salem
Publikováno v:
Actuators, Vol 12, Iss 1, p 12 (2022)
This research suggests a new robotic system technique that works specifically in settings such as hospitals or emergency situations when prompt action and preserving human life are crucial. Our framework largely focuses on the precise and prompt deli
Externí odkaz:
https://doaj.org/article/4bc630e2502b454595aaa04b54123586
Autor:
Hanaa ZainEldin, Samah A. Gamel, El-Sayed M. El-Kenawy, Amal H. Alharbi, Doaa Sami Khafaga, Abdelhameed Ibrahim, Fatma M. Talaat
Publikováno v:
Bioengineering, Vol 10, Iss 1, p 18 (2022)
Diagnosing a brain tumor takes a long time and relies heavily on the radiologist’s abilities and experience. The amount of data that must be handled has increased dramatically as the number of patients has increased, making old procedures both cost
Externí odkaz:
https://doaj.org/article/db3b6c9ac4c14a9aac81b327666fe242
Publikováno v:
Neural Computing and Applications. 35:12891-12904
Stress is now thought to be a major cause to a wide range of human health issues. However, many people may ignore their stress feelings and disregard to take action before serious physiological and mental disorders take place. The heart rate (HR) and
Publikováno v:
Soft Computing. 26:11435-11450
Gestational diabetes mellitus (GDM) is one of the pregnancy complications that endangers both mothers and babies. GDM is usually diagnosed at 22–26 weeks of gestation. However, early prediction is preferable because it may decrease the risk. The co
Autor:
Fatma M. Talaat
Publikováno v:
Neural Computing and Applications.
Agriculture faces a significant challenge in predicting crop yields, a critical aspect of decision-making at international, regional, and local levels. Crop yield prediction utilizes soil, climatic, environmental, and crop traits extracted via decisi