An intelligent soft computing model for predicting the thermal behavior of blood-based trihybrid nanofluids flow in biomedical drug delivery applications
In biological studies, nanofluids play a crucial role in targeted drug delivery to specific parts of the human body, cancer treatment via hyperthermia, and other applications. The main innovation of this study is the application of soft computational techniques, specifically the design and implement...
Saved in:
Main Authors: | Muhammad Wajahat Anjum, Sana Ullah Saqib, Yin-Tzer Shih, Ines Hilali Jaghdam, Nidhal Becheikh, Lioua Kolsi |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-10-01
|
Series: | Case Studies in Thermal Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25010020 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Numerical investigation of tangent hyperbolic nanofluid with stagnation point flow of irregular heat and Darcy-Forchheimer effects on stretching sheet
by: Srinivas Reddy Kallem, et al.
Published: (2025-09-01) -
Aspects of the Aligned Magnetic Field Past a Stratified Inclined Sheet with Nonlinear Convection and Variable Thermal Conductivity
by: Muhammad BILAL, et al.
Published: (2021-08-01) -
Entropy generation of Engine Oil-based two phase tri-hybrid nanofluid due to Riga plate: Modified Magnetic field and Cattaneo-Christov heat Perceptions
by: A. Divya, et al.
Published: (2025-09-01) -
Recent advances in modified Arrhenius activation energy and bioconvection in Williamson nanofluid flow over a bidirectional surface
by: Tayyaba Akhtar, et al.
Published: (2025-06-01) -
Application of Kolmogorov-Arnold network (KAN) for solitary-Peakon investigation of Lax model
by: Muhammad Wajahat Anjum, et al.
Published: (2025-09-01)