AIMC Journal:
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Showing 1 to 10 of 55 articles

Machine learning analysis for the thermophoretic particle deposition in casson nanofluid with porous medium and heat generation.

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The aim of this work is to evaluate the impacts of heat generation on the radiative flow of Casson nanofluid over a sheet under LTNE circumstances while microbes are present, utilizing machine learning techniques based on the Levenberg-Marquardt algo...

Physics informed neural network framework for non-similar nano-heat and solutal transport in a rheological fluid over a stretching cylinder.

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Accurate prediction of non-similar momentum, thermal and solutal transport phenomena in rheological fluids is crucial for the design and optimization of advanced thermal management systems, heat exchangers, polymer processing, chemical reactors, ener...

Pressure and entropy analysis of Casson tetra hybrid nanofluid flow in a rotating cone disk system with ANN and QNN prediction.

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Accurate thermo-fluid modeling in rotating systems is essential for the design and optimization of advanced thermal engineering devices. This study develops a machine-learning-assisted framework to predict the pressure distribution, temperature field...

Design of a highly efficient graphene-coated ultra-wideband solar thermal absorber for renewable mining energy applications using artificial intelligence optimization.

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Although many technologies have advanced in electricity production, their carbon footprint remains a crucial factor in selecting the most sustainable option. Solar energy provides a promising solution, as it is a clean and renewable resource harnesse...

A semi analytical simulation and Bayesian Regularization technique for thermophoretic particle deposition in radiative nanofluid flow with Brownian motion and Stefan blowing impacts.

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By using the computational power of Bayesian Regularization Optimizer Supervised Neural Networks (BRO-SNNs), this semi-analytical model, which investigates thermophoretic particle deposition in a Boger nanofluid flow over an inclined sheet using Brow...

From imaging enhancement to surgical autonomy: the evolutionary role of nanotechnology in AI-driven robotic surgery.

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Robot-assisted minimally invasive surgery provides stable visualisation and manipulation, but direct access to local tissue state remains limited. Lesion boundaries, mechanics, molecular activity and microenvironmental changes are often inferred from...

Computational and machine learning analysis of bio-convective magnetized Ree-Eyring nanofluid flow on Riga plate with thermal radiation and activation energy.

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This work examines bio-convective magnetized Ree-Eyring nanofluid flow on a convectively heated Riga surface. Thermal diffusion is controlled through use of Cattaneo-Christov thermal flux and Brownian motion effects along with thermal radiations. The...

Intelligent neural network-based framework for Maxwell nanofluid flow with Soret-Dufour coupling and nonlinear thermal radiation.

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This study examined the optimization of the Levenberg-Marquardt backpropagation approach, which uses artificial neural networks, to calculate the interacting features of Soret and Dufour effects on convective Maxwell nanofluid flow through a porous s...

Nanomaterial -enabled flexible sensors for continuous biomedical monitoring and closed-loop intervention.

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With the increasing demand for biomedical monitoring transitioning from in vitro intermittent assays to continuous, in situ, and intelligent systems, flexible sensing technology has become a direct bridge between detection and intervention. This revi...

Comparative machine learning approach on Maxwell tetra hybrid nanofluid with porous and bioconvection over 3d rotating stretching sheet.

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This present study investigates the 3D magnetized Maxwell tetra-hybrid nanofluid with porous medium, viscous dissipation, joule heating, Soret effect and bioconvection over a rotating stretching sheet. Titanium dioxide ( T i O 2 ) , Gold ( A u ) , ...