Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Majed Alsafyani"'
Autor:
Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Heart disease is a leading cause of death globally; therefore, accurate detection and classification are prominent, and several DL and ML methods have been developed over the last decade. However, the classical approaches may be prone to ove
Externí odkaz:
https://doaj.org/article/58187d25b9e34ea38bb1efa250d5b08b
Autor:
Preeti Thareja, Rajender Singh Chhillar, Sandeep Dalal, Sarita Simaiya, Umesh Kumar Lilhore, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract Protein–protein interaction (PPI) prediction is vital for interpreting biological activities. Even though many diverse sorts of data and machine learning approaches have been employed in PPI prediction, performance still has to be enhanced
Externí odkaz:
https://doaj.org/article/e689ee4739794999aa3364f5c1cb7be0
Autor:
Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Neetu Faujdar, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-23 (2024)
Abstract Cybertwin (CT) is an innovative network structure that digitally simulates humans and items in a virtual environment, significantly influencing Cybertwin instances more than regular VMs. Cybertwin-driven networks, combined with Mobile Edge C
Externí odkaz:
https://doaj.org/article/e15da638003245f5aebec0a9b3992b60
Autor:
Gautam Gupta, R. Sudeep, B. Ashok, R. Vignesh, C. Kannan, C. Kavitha, Roobaea Alroobaea, Majed Alsafyani, Kareem M. AboRas, Ahmed Emara
Publikováno v:
IEEE Access, Vol 12, Pp 110361-110384 (2024)
Regenerative braking is of paramount importance both in terms of energy recovery and from the perspective of hybrid electric vehicles (HEVs). It allows HEVs to recover energy during braking which in turn enhances the range, efficiency and sustainabil
Externí odkaz:
https://doaj.org/article/4684c71f194444e5a2650bcec457f1ad
Autor:
Abdullah Ayub Khan, Asif Ali Laghari, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Rex Bacarra, Jamil Abedalrahim Jamil Alsayaydeh
Publikováno v:
IEEE Access, Vol 12, Pp 69383-69396 (2024)
Particularly in the context of smart cities, remote sensing data (RSD) has emerged as one of the hottest study topics in information and communication technology (ICT) today. The development of machine learning (ML) and artificial intelligence (AI) h
Externí odkaz:
https://doaj.org/article/5724acfdbc0244b999796a06f5f25e7c
Autor:
Umesh Kumar Lilhore, Poongodi Manoharan, Jasminder Kaur Sandhu, Sarita Simaiya, Surjeet Dalal, Abdullah M. Baqasah, Majed Alsafyani, Roobaea Alroobaea, Ismail Keshta, Kaamran Raahemifar
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Hepatitis C Virus (HCV) is a viral infection that causes liver inflammation. Annually, approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in earlier stages helps to save lives. In the HCV review, the authors us
Externí odkaz:
https://doaj.org/article/53793b3bf2744ee098c0654871a42874
Autor:
Poonam Dhiman, Poongodi Manoharan, Umesh Kumar Lilhore, Roobaea Alroobaea, Amandeep Kaur, Celestine Iwendi, Majed Alsafyani, Abdullah M. Baqasah, Kaamran Raahemifar
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-18 (2023)
Abstract Fruits significantly impact everyday living, i.e., Citrus fruits. Numerous fruits have a solid nutritious value and are packed with multivitamins and trace components. Citrus fruits are delicate and susceptible to many diseases and infection
Externí odkaz:
https://doaj.org/article/612062a65e934624b6d5736913b22991
Autor:
Oumaima Saidani, Majed Alsafyani, Roobaea Alroobaea, Nazik Alturki, Rashid Jahangir, Leila Jamel
Publikováno v:
IEEE Access, Vol 11, Pp 101373-101386 (2023)
Human activity recognition is a challenging and active research topic in computer science due to its applications in video surveillance, health monitoring, rehabilitation, human-robot interaction, robotics, gesture and posture analysis, and sports. I
Externí odkaz:
https://doaj.org/article/ae4e9287c3bf461eb99113f3145e6a10
Autor:
Bose S., Logeswari G., Thavavel Vaiyapuri, Tariq Ahamed Ahanger, Fadl Dahan, Fahima Hajjej, Ismail Keshta, Majed Alsafyani, Roobaea Alroobaea, Kaamran Raahemifar
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
The new coronavirus that produced the pandemic known as COVID-19 has been going across the world for a while. Nearly every area of development has been impacted by COVID-19. There is an urgent need for improvement in the healthcare system. However, t
Externí odkaz:
https://doaj.org/article/22350832fc014a4094b67b4c5d4cb572
Autor:
Ahila Amarnath, Poongodi Manoharan, Buvaneswari Natarajan, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Ismail Keshta, Kaamran Raahemifar
Publikováno v:
Diagnostics, Vol 13, Iss 18, p 2919 (2023)
Speckle noise is a pervasive problem in medical imaging, and conventional methods for despeckling often lead to loss of edge information due to smoothing. To address this issue, we propose a novel approach that combines a nature-inspired minibatch wa
Externí odkaz:
https://doaj.org/article/a59d8c3ccc7643b1ba0cec3f6d597c20