Zobrazeno 1 - 10
of 376
pro vyhledávání: '"Almusharraf A"'
Autor:
Sannasi Chakravarthy, N. Bharanidharan, Surbhi Bhatia Khan, V. Vinoth Kumar, T. R. Mahesh, Ahlam Almusharraf, Eid Albalawi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-19 (2024)
Abstract Breast cancer has become the leading cause of cancer mortality among women worldwide. The timely diagnosis of such cancer is always in demand among researchers. This research pours light on improving the design of computer-aided detection (C
Externí odkaz:
https://doaj.org/article/b1bc3f6060644f508ed0d0468f0b6174
Autor:
Asma Almusharraf
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract Teaching a foreign language requires instructors to be knowledgeable about and capable of providing instruction that facilitates their students’ ability to understand, speak, read, and write the new language. However, as established within
Externí odkaz:
https://doaj.org/article/74fe1bf0f66846c3904a5a89c7eec46d
Autor:
Muhammad Imran, Norah Almusharraf
Publikováno v:
Smart Learning Environments, Vol 11, Iss 1, Pp 1-8 (2024)
Abstract This emerging technology report discusses Google Gemini as a multimodal generative AI tool and presents its revolutionary potential for future educational technology. It introduces Gemini and its features, including versatility in processing
Externí odkaz:
https://doaj.org/article/d2a04018915444c7b27f55e76b7b7869
Autor:
Asma Alshuhail, Arastu Thakur, R Chandramma, T R Mahesh, Ahlam Almusharraf, V Vinoth Kumar, Surbhi Bhatia Khan
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract Brain tumor diagnosis using MRI scans poses significant challenges due to the complex nature of tumor appearances and variations. Traditional methods often require extensive manual intervention and are prone to human error, leading to misdia
Externí odkaz:
https://doaj.org/article/6dc137de8e614254b68748687c972765
Autor:
Eid Albalawi, Mahesh T.R., Arastu Thakur, V. Vinoth Kumar, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Brain tumor classification using MRI images is a crucial yet challenging task in medical imaging. Accurate diagnosis is vital for effective treatment planning but is often hindered by the complex nature of tumor morphology and variations in
Externí odkaz:
https://doaj.org/article/15c54cc3449f436ba6827f7deb5420dc
Autor:
Syed Thouheed Ahmed, T. R. Mahesh, E. Srividhya, V. Vinoth Kumar, Surbhi Bhatia Khan, Abdullah Albuali, Ahlam Almusharraf
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices, particularly at the server and computational layers, poses a formidab
Externí odkaz:
https://doaj.org/article/806ecf1dab5648fbb1983e31e0bfca11
Autor:
Razaz Waheeb Attar, Mohammad Habes, Ahlam Almusharraf, Amal Hassan Alhazmi, Renad Waheeb Attar
Publikováno v:
Frontiers in Built Environment, Vol 10 (2024)
By using advanced technologies and data analytics, smart cities can establish conditions that are both inclusive and accessible, addressing the distinctive needs of disabled people. This research aims to examine the benefits of smart city technologie
Externí odkaz:
https://doaj.org/article/01babb3695ca40f39de96b3eb75b3ef2
Autor:
Himansu Das, Swarnava Das, Mahendra Kumar Gourisaria, Surbhi Bhatia Khan, Ahlam Almusharraf, Abdullah I. Alharbi, T. R. Mahesh
Publikováno v:
IEEE Access, Vol 12, Pp 105309-105325 (2024)
Software fault prediction (SFP) is a critical focus in software engineering, aiming to enhance productivity and minimize costs by detecting faults early. Feature selection (FS) is pivotal in SFP, enabling the identification of pertinent features for
Externí odkaz:
https://doaj.org/article/bb265f48b02b47bc916ba946dff43c2b
Autor:
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Surbhi Bhatia Khan, Ahlam Almusharraf, Eid Albalawi
Publikováno v:
IEEE Access, Vol 12, Pp 79776-79786 (2024)
Nowadays, the advancements of wearable consumer devices have become a predominant role in healthcare gadgets. There is always a demand to obtain robust recognition of heterogeneous human activities in complicated IoT environments. The knowledge attai
Externí odkaz:
https://doaj.org/article/046b8c670054408184a1f98bec66f36e
Autor:
P. Suman Prakash, P. Kiran Rao, E. Suresh Babu, Surbhi Bhatia Khan, Ahlam Almusharraf, Mohammad Tabrez Quasim
Publikováno v:
IEEE Access, Vol 12, Pp 62189-62198 (2024)
Our proposed work, SculptorGAN, represents a novel advancement in the domain of medical imaging, for the accurate and automatic diagnosis of renal tumors, using the techniques and principles of Generative Adversarial Network (GAN). This dichotomous f
Externí odkaz:
https://doaj.org/article/d1713a56152444bfbd575c30ba120f37