Zobrazeno 1 - 10
of 445
pro vyhledávání: '"Ahmed, Bouridane"'
Autor:
Faseela Abdullakutty, Younes Akbari, Somaya Al-Maadeed, Ahmed Bouridane, Iman M. Talaat, Rifat Hamoudi
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Precision and timeliness in breast cancer detection are paramount for improving patient outcomes. Traditional diagnostic methods have predominantly relied on unimodal approaches, but recent advancements in medical data analytics have enabled the inte
Externí odkaz:
https://doaj.org/article/0cb594e80e0c419fbb6d8f6ee4d8c350
Autor:
Hasan Idhaim, Yousef Kilani, Ayoub Alsarhan, Mohammad Aljaidi, Ala Altaweel, Ahmed Bouridane, Amjad Aldweesh
Publikováno v:
IEEE Access, Vol 11, Pp 91539-91549 (2023)
Due to the availability of massive numbers of items for any product on the Web, the burden of selecting an item is borne by the user. A Recommender System (RS) is a useful tool that has been employed to save the user’s time by recommending preferre
Externí odkaz:
https://doaj.org/article/a4691c87c11d4da78a4acc2941c2c929
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 11, Pp 223-231 (2023)
Objective: Millions of people have been affected by coronavirus disease 2019 (COVID-19), which has caused millions of deaths around the world. Artificial intelligence (AI) plays an increasing role in all areas of patient care, including prognostics.
Externí odkaz:
https://doaj.org/article/43e2a2dbab1842be991cf006c6d3ba25
Publikováno v:
IET Image Processing, Vol 16, Iss 13, Pp 3407-3425 (2022)
Abstract Steganography is the art of secret communication and steganalysis is the art of detecting the hidden messages embedded in digital media covers. One of the covers that is gaining interest in the field is video. Presently, the global IP video
Externí odkaz:
https://doaj.org/article/839882a3ad1d42b3bbaef3a9b6659f44
Autor:
Zhaonian Zhang, Richard Jiang, Ce Zhang, Bryan Williams, Ziping Jiang, Chang-Tsun Li, Paul Chazot, Nicola Pavese, Ahmed Bouridane, Azeddine Beghdadi
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2146-2156 (2022)
Precise prediction on brain age is urgently needed by many biomedical areas including mental rehabilitation prognosis as well as various medicine or treatment trials. People began to realize that contrasting physical (real) age and predicted brain ag
Externí odkaz:
https://doaj.org/article/e4347306684e450da2f70c85f8ac5c30
Autor:
Najmath Ottakath, Somaya Al-Maadeed, Susu M. Zughaier, Omar Elharrouss, Hanadi Hassen Mohammed, Muhammad E. H. Chowdhury, Ahmed Bouridane
Publikováno v:
Diagnostics, Vol 13, Iss 15, p 2614 (2023)
The carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured arteries, and even death. Both invasive and non-invasive methods
Externí odkaz:
https://doaj.org/article/a0cceb485fbe484c981f95303abf47bd
Publikováno v:
Sensors, Vol 23, Iss 14, p 6434 (2023)
The electroencephalography (EEG) signal is a noninvasive and complex signal that has numerous applications in biomedical fields, including sleep and the brain–computer interface. Given its complexity, researchers have proposed several advanced prep
Externí odkaz:
https://doaj.org/article/d7ad7158f6a744c4ace26decad69ee03
Autor:
Hanadi Hassen Mohammed, Omar Elharrouss, Najmath Ottakath, Somaya Al-Maadeed, Muhammad E. H. Chowdhury, Ahmed Bouridane, Susu M. Zughaier
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 4821 (2023)
Common carotid intima-media thickness (CIMT) is a common measure of atherosclerosis, often assessed through carotid ultrasound images. However, the use of deep learning methods for medical image analysis, segmentation and CIMT measurement in these im
Externí odkaz:
https://doaj.org/article/d9f41c569e5348f586f087cef7635761
Publikováno v:
Symmetry, Vol 15, Iss 3, p 677 (2023)
Malware, a lethal weapon of cyber attackers, is becoming increasingly sophisticated, with rapid deployment and self-propagation. In addition, modern malware is one of the most devastating forms of cybercrime, as it can avoid detection, make digital f
Externí odkaz:
https://doaj.org/article/2b4222a69726453b85bf49e93a053e00
Publikováno v:
IEEE Access, Vol 9, Pp 65127-65139 (2021)
Quantum machine learning (QML) is a new field in its infancy, promising performance enhancements over many classical machine learning (ML) algorithms. Data reuploading is a QML algorithm with a focus on utilizing the power of a singular qubit as an i
Externí odkaz:
https://doaj.org/article/fabeb2f5b1644e248f54f964b1ea846e