Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Muhammad Noman, Sohail"'
Autor:
Muhammad Noman Sohail, Adeel Anjum, Iftikhar Ahmed Saeed, Madiha Haider Syed, Axel Jantsch, Semeen Rehman
Publikováno v:
IEEE Access, Vol 12, Pp 51176-51192 (2024)
Connecting smart industrial components to computer networks revolutionizes business operations. However, in the Industrial Internet of Things (IIoT), the sharing of data has bandwidth, computational, and privacy issues. Researchers presented cloud co
Externí odkaz:
https://doaj.org/article/6aae9e0f72fd402a9f99afe9a55c9bf3
Akademický článek
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Publikováno v:
Healthcare Technology Letters (2019)
To predict diabetes mellitus model data mining (DM) based approaches on the dataset collected from the seven northwestern states of Nigeria. Data were collected from both primary and secondary sources through questionnaires and verbal interviews from
Externí odkaz:
https://doaj.org/article/1f42e9163ded4fa49ad397848c090582
Publikováno v:
2021 IEEE International Conference on Blockchain (Blockchain).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e383e1ef8175633149fdf04d1e6d271
https://doi.org/10.1109/blockchain53845.2021.00080
https://doi.org/10.1109/blockchain53845.2021.00080
Autor:
Ren Jiadong, Wasim Iqbal, Muhammad Noman Sohail, Jehangir Arshad, Antony Verghese John, Musa Muhammad Uba, Muhammad Irshad
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
The increasing ratio of diabetes is found risky across the planet. Therefore, the diagnosis is important in population with extreme risk of diabetes. In this study, a decision-making classifier (J48) is applied over a data-mining platform (Weka) to m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::112fb5b8b71f270b2fb5d4e0c7286ed4
https://doi.org/10.1038/s41598-019-46631-9
https://doi.org/10.1038/s41598-019-46631-9
Autor:
Ren Jiadong, Muhammad Noman Sohail, Jehangir Arshad, Sohaib Tahir Chauhdary, Musa Uba Muhammad, Antony John Verghese
Publikováno v:
Processes, Vol 7, Iss 5, p 289 (2019)
Processes
Volume 7
Issue 5
Processes
Volume 7
Issue 5
The increasing rate of diabetes is found across the planet. Therefore, the diagnosis of pre-diabetes and diabetes is important in populations with extreme diabetes risk. In this study, a machine learning technique was implemented over a data mining p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::362d5d1b6021c1f79a840eb88ef98c88
https://www.mdpi.com/2227-9717/7/5/289
https://www.mdpi.com/2227-9717/7/5/289
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811089435
From the past decade, data mining is becoming more important and tremendous amount of work is being explored in the healthcare industry, where most of the applications are introduced which could be classified into two branches: the bench of decision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce341c75d945faa55e60008dd18663ab
https://doi.org/10.1007/978-981-10-8944-2_3
https://doi.org/10.1007/978-981-10-8944-2_3
Autor:
Muhammad Irshad, Wenyuan Liu, Syed Bilal Hussian Shah, Muhammad Noman Sohail, Muhammad Musa Uba, Lin Wang
Publikováno v:
ICFNDS
Localization or Location-based services using Electromagnetic spectrum has attracted many researchers in recent years. Considering the current era, the most trending domain is Wi-Fi. The radio spectrum is being congested due to enormous data traffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cac91ce299637018daea3d6752942c12
https://doi.org/10.1145/3231053.3231118
https://doi.org/10.1145/3231053.3231118
Akademický článek
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Akademický článek
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