World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
33
Citations
2989
World Ranking
3098
National Ranking
24

Best Publications

  • An experimental study on the comparative analysis of the effect of the number of data on the error rates of artificial neural networks

    Unknown

  • Estimation of unsteady hydromagnetic Williamson fluid flow in a radiative surface through numerical and artificial neural network modeling.

    Anum Shafiq;Andaç Batur Çolak;Tabassum Naz Sindhu;Qasem M. Al-Mdallal

  • Modeling of Darcy-Forchheimer bioconvective Powell Eyring nanofluid with artificial neural network

    Unknown

  • Designing artificial neural network of nanoparticle diameter and solid–fluid interfacial layer on single-walled carbon nanotubes/ethylene glycol nanofluid flow on thin slendering needles

    Anum Shafiq;Andaç Batur Çolak;Tabassum Naz Sindhu

  • Modeling of Soret and Dufour’s Convective Heat Transfer in Nanofluid Flow Through a Moving Needle with Artificial Neural Network

    Unknown

  • Experimental study for predicting the specific heat of water based Cu‐Al2O3 hybrid nanofluid using artificial neural network and proposing new correlation

    Unknown

  • Optimization of Darcy-Forchheimer squeezing flow in nonlinear stratified fluid under convective conditions with artificial neural network

    Unknown

  • Experimental study for thermal conductivity of water‐based zirconium oxide nanofluid: Developing optimal artificial neural network and proposing new correlation

    Unknown

  • Significance of EMHD graphene oxide (GO) water ethylene glycol nanofluid flow in a Darcy–Forchheimer medium by machine learning algorithm

    Unknown

  • A novel comparative analysis between the experimental and numeric methods on viscosity of zirconium oxide nanofluid: Developing optimal artificial neural network and new mathematical model

    Unknown

  • Significance of bioconvective flow of MHD thixotropic nanofluid passing through a vertical surface by machine learning algorithm

    Unknown

  • Comparative analysis to study the Darcy-Forchheimer Tangent hyperbolic flow towards cylindrical surface using artificial neural network: An application to Parabolic Trough Solar Collector

    Unknown

  • Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection

    Unknown

  • A COMPREHENSIVE AND COMPARATIVE EXPERIMENTAL ANALYSIS ON THERMAL CONDUCTIVITY OF TiO2-CaCO3/WATER HYBRID NANOFLUID: PROPOSING NEW CORRELATION AND ARTIFICIAL NEURAL NETWORK OPTIMIZATION

    Unknown

  • Prediction of experimental thermal performance of new designed cold plate for electric vehicles’ Li-ion pouch-type battery with artificial neural network

    Unknown

  • Modeling of Darcy‐Forchheimer magnetohydrodynamic Williamson nanofluid flow towards nonlinear radiative stretching surface using artificial neural network

    Unknown

  • Artificial neural network approach for investigating the impact of convector design parameters on the heat transfer and total weight of panel radiators

    Unknown

  • A novel comparative investigation of the effect of the number of neurons on the predictive performance of the artificial neural network: An experimental study on the thermal conductivity of <scp> ZrO <sub>2</sub> </scp> nanofluid

    Unknown

  • Optimization of the numerical treatment of the Darcy–Forchheimer flow of Ree–Eyring fluid with chemical reaction by using artificial neural networks

    Unknown

  • A Numerical Study Aimed at Finding Optimal Artificial Neural Network Model Covering Experimentally Obtained Heat Transfer Characteristics of Hydronic Underfloor Radiant Heatin

    Unknown

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