Zobrazeno 1 - 10 of 1 195 pro vyhledávání: '"Danish, M"'
1
Akademický článek
Potential of Saudi natural clay as an effective adsorbent in heavy metals removal from wastewater
Autor: Khan, M.I., Almesfer, M.K., Danish, M., Ali, I.H., Shoukry, H., Patel, Rajnikant, Gardy, J., Nizami, A.S., Rehan, M.
This study aims to examine the potential of natural clay mineral from the southern part of Saudi Arabia as an effective adsorbent material for the removal of heavy metal ions of cadmium (Cd) and nickel (Ni) from aqueous solutions. The SEM analysis sh
Externí odkaz: http://hdl.handle.net/10454/19033
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3
Akademický článek
Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and example
Autor: Samuel L. Warren, Danish M. Khan, Ahmed A. Moustafa
Publikováno v: Brain and Behavior, Vol 14, Iss 6, Pp n/a-n/a (2024)
Abstract Background Deep‐learning (DL) methods are rapidly changing the way researchers classify neurological disorders. For example, combining functional magnetic resonance imaging (fMRI) and DL has helped researchers identify functional biomarker
Externí odkaz: https://doaj.org/article/ac9f8801cc8c409fb1f6c5b2014368b0
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5
Akademický článek
Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and example.
Autor: Warren, Samuel L.1 (AUTHOR) SamuelLWarren@outlook.com, Khan, Danish M.2 (AUTHOR), Moustafa, Ahmed A.1,3 (AUTHOR)
Publikováno v: Brain & Behavior. Jun2024, Vol. 14 Issue 6, p1-22. 22p.
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6
Akademický článek
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7
Akademický článek
A novel method for efficient estimation of brain effective connectivity in EEG
Autor: Khan, Danish M., Yahya, Norashikin, Kamel, Nidal, Faye, Ibrahima
Publikováno v: In Computer Methods and Programs in Biomedicine January 2023 228
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8
Akademický článek
Investigation on thermal analysis of disc brake using Autodesk Fusion 360
Autor: Mugilan, M., Devendra, K.S., Danish, M., Senthur Prabu, S.
Publikováno v: In Materials Today: Proceedings 2022 65 Part 8:3707-3713
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9
Akademický článek
A comparison of machine learning approaches for the quantification of microglial cells in the brain of mice, rats and non-human primates.
Autor: Danish M Anwer, Francesco Gubinelli, Yunus A Kurt, Livija Sarauskyte, Febe Jacobs, Chiara Venuti, Ivette M Sandoval, Yiyi Yang, Jennifer Stancati, Martina Mazzocchi, Edoardo Brandi, Gerard O'Keeffe, Kathy Steece-Collier, Jia-Yi Li, Tomas Deierborg, Fredric P Manfredsson, Marcus Davidsson, Andreas Heuer
Publikováno v: PLoS ONE, Vol 18, Iss 5, p e0284480 (2023)
Microglial cells are brain-specific macrophages that swiftly react to disruptive events in the brain. Microglial activation leads to specific modifications, including proliferation, morphological changes, migration to the site of insult, and changes
Externí odkaz: https://doaj.org/article/fcdfb7538fd1416cbc6c38dd6c8d0c4e
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10
Akademický článek
A comparison of machine learning approaches for the quantification of microglial cells in the brain of mice, rats and non-human primates.
Autor: Anwer, Danish M.1 (AUTHOR), Gubinelli, Francesco1 (AUTHOR), Kurt, Yunus A.1 (AUTHOR), Sarauskyte, Livija1 (AUTHOR), Jacobs, Febe1 (AUTHOR), Venuti, Chiara1 (AUTHOR), Sandoval, Ivette M.2 (AUTHOR), Yang, Yiyi3 (AUTHOR), Stancati, Jennifer4 (AUTHOR), Mazzocchi, Martina5 (AUTHOR), Brandi, Edoardo6 (AUTHOR), O'Keeffe, Gerard5 (AUTHOR), Steece-Collier, Kathy4 (AUTHOR), Li, Jia-Yi6 (AUTHOR), Deierborg, Tomas3 (AUTHOR), Manfredsson, Fredric P.2 (AUTHOR), Davidsson, Marcus1,2 (AUTHOR), Heuer, Andreas1 (AUTHOR) andreas.heuer@med.lu.se
Publikováno v: PLoS ONE. 5/1/2023, Vol. 17 Issue 5, p1-23. 23p.
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