Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Mohammed Shuaib"'
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionMachine learning (ML) algorithms and statistical modeling offer a potential solution to offset the challenge of diagnosing early Alzheimer's disease (AD) by leveraging multiple data sources and combining information on neuropsychological,
Externí odkaz:
https://doaj.org/article/f0dcebe9e61442688880102828f3c412
Autor:
C. Kishor Kumar Reddy, Pulakurthi Anaghaa Reddy, Himaja Janapati, Basem Assiri, Mohammed Shuaib, Shadab Alam, Abdullah Sheneamer
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Brain tumors occur due to the expansion of abnormal cell tissues and can be malignant (cancerous) or benign (not cancerous). Numerous factors such as the position, size, and progression rate are considered while detecting and diagnosing brain tumors.
Externí odkaz:
https://doaj.org/article/ae300abf4999408d8e56ebfbad4b7c51
Autor:
C. Kishor Kumar Reddy, Advaitha Daduvy, R. Madana Mohana, Basem Assiri, Mohammed Shuaib, Shadab Alam, and M. Abdullah Sheneamer
Publikováno v:
IEEE Access, Vol 12, Pp 125592-125608 (2024)
Hyperspectral imagery, capturing information beyond the visible spectrum, is essential for many remote sensing applications. This paper introduces a novel approach utilizing a 3D Convolutional Neural Network (CNN) enhanced with self-attention mechani
Externí odkaz:
https://doaj.org/article/a3d2b9059898439a9640b7d2a7bc4cd1
Autor:
Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, Mohammad Arif, Anwar Ahamed Shaikh, Mousa Mohammed Khubrani, Shadab Alam, Mohammed Shuaib, Rajan John
Publikováno v:
IEEE Access, Vol 12, Pp 65555-65569 (2024)
Attributed networks are prevalent in the current information infrastructure, where node attributes enhance knowledge discovery. Anomaly detection in attributed networks is gaining attention for its potential uses in cybersecurity, finance, and health
Externí odkaz:
https://doaj.org/article/1053626ae17c4fdcb5f75ae134caf91e
Autor:
Mohammad Tabrez Quasim, Khair ul Nisa, Mohammad Zunnun Khan, Mohammad Shahid Husain, Shadab Alam, Mohammed Shuaib, Mohammad Meraj, Monir Abdullah
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-12 (2023)
Abstract Energy theft is a significant problem that needs to be addressed for effective energy management in smart cities. Smart meters are highly utilized in smart cities that help in monitoring the energy utilization level and provide information t
Externí odkaz:
https://doaj.org/article/1aca8fb575804349a3892bfd09457db8
Autor:
Kishor Kumar Reddy C, Aarti Rangarajan, Deepti Rangarajan, Mohammed Shuaib, Fathe Jeribi, Shadab Alam
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2204 (2024)
Alzheimer’s disease (AD) is a growing public health crisis, a very global health concern, and an irreversible progressive neurodegenerative disorder of the brain for which there is still no cure. Globally, it accounts for 60–80% of dementia cases
Externí odkaz:
https://doaj.org/article/c17b8cf4bf1d4cd3ac680b6f76f44a0c
Autor:
Mohd Shamsh Tabarej, Sonajharia Minz, Anwar Ahamed Shaikh, Mohammed Shuaib, Fathe Jeribi, Shadab Alam
Publikováno v:
Mathematics, Vol 12, Iss 13, p 2031 (2024)
The term hotspot refers to a location or an area where the occurrence of a particular phenomenon, event, or activity is significantly higher than in the surrounding areas. The existing statistical methods need help working well on discrete data. Also
Externí odkaz:
https://doaj.org/article/a9177dce37d54918b1fea9f06a2dd812
Publikováno v:
PLoS ONE, Vol 19, Iss 7 (2024)
Externí odkaz:
https://doaj.org/article/eec5d0f4bfd24985ae757e13fb6d5bb9
Autor:
C Kishor Kumar Reddy, Vijaya Sindhoori Kaza, P R Anisha, Mousa Mohammed Khubrani, Mohammed Shuaib, Shadab Alam, Sadaf Ahmad
Publikováno v:
PLoS ONE, Vol 19, Iss 2, p e0299334 (2024)
This research addresses the pressing challenge of intrusion detection and prevention in Wireless Sensor Networks (WSNs), offering an innovative and comprehensive approach. The research leverages Support Vector Regression (SVR) models to predict the n
Externí odkaz:
https://doaj.org/article/02b9f00c1d1343918d18009384637167
Autor:
Nayef Alqahtani, Shadab Alam, Ibrahim Aqeel, Mohammed Shuaib, Ibrahim Mohsen Khormi, Surbhi Bhatia Khan, Areej A. Malibari
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7833 (2023)
Dementias that develop in older people test the limits of modern medicine. As far as dementia in older people goes, Alzheimer’s disease (AD) is by far the most prevalent form. For over fifty years, medical and exclusion criteria were used to diagno
Externí odkaz:
https://doaj.org/article/293bf62179f04e94876e26f9390da42a