Supervised machine learning computing paradigm of energy activation for magnetic nanofluid flow via porous surface with nonlinear variant viscosity.

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Title: Supervised machine learning computing paradigm of energy activation for magnetic nanofluid flow via porous surface with nonlinear variant viscosity.
Authors: Alhubieshi, Neissrien1, nalhbshi@yahoo.com, Khan, Rafaqat Ali2, Khan, Abbas3, Jamshed, Wasim4, Hussain, Syed M.5, hussain.modassir@yahoo.com, Ahmad, Hijaz5,6,7,8,9, Eid, Mohamed R.10, Guedri, Kamel11
Source: Discover Nano; 5/12/2026, Vol. 21 Issue 1, p1-24, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193684712
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  Data: Supervised machine learning computing paradigm of energy activation for magnetic nanofluid flow via porous surface with nonlinear variant viscosity.
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  Data: <searchLink fieldCode="AU" term="%22Alhubieshi%2C+Neissrien%22">Alhubieshi, Neissrien</searchLink><relatesTo>1</relatesTo>, <i>nalhbshi@yahoo.com</i><br /><searchLink fieldCode="AU" term="%22Khan%2C+Rafaqat+Ali%22">Khan, Rafaqat Ali</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Khan%2C+Abbas%22">Khan, Abbas</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Jamshed%2C+Wasim%22">Jamshed, Wasim</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Hussain%2C+Syed+M%2E%22">Hussain, Syed M.</searchLink><relatesTo>5</relatesTo>, <i>hussain.modassir@yahoo.com</i><br /><searchLink fieldCode="AU" term="%22Ahmad%2C+Hijaz%22">Ahmad, Hijaz</searchLink><relatesTo>5,6,7,8,9</relatesTo><br /><searchLink fieldCode="AU" term="%22Eid%2C+Mohamed+R%2E%22">Eid, Mohamed R.</searchLink><relatesTo>10</relatesTo><br /><searchLink fieldCode="AU" term="%22Guedri%2C+Kamel%22">Guedri, Kamel</searchLink><relatesTo>11</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Discover+Nano%22">Discover Nano</searchLink>; 5/12/2026, Vol. 21 Issue 1, p1-24, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193684712
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        Value: 10.1186/s11671-026-04610-w
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      – Code: eng
        Text: English
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              Text: 5/12/2026
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