Работы, цитирующие эту работу

Работ: 4

Работа: Predicting the passive control of fluid forces over circular cylinder in a time dependent flow using neuro-computing

1. Machine learning analysis based on Bayesian regularization algorithm for the thermal bioconvection flow of Boger nanofluid in the presence of gyrotactic microbes: enzyme-based biosensor applications

   Shaaban M. Shaaban, Ahmed Babeker Elhag, Inès Hilali‐Jaghdam +5

   СтатьяNanofluid Flow and Heat TransferJournal of Thermal Analysis and Calorimetry2025Цитирований: 4

   ABIABI:AkademIndex/openalex/2025.article.000178

2. Computational intelligence of Levenberg–Marquardt backpropagation neural networks to study thermo-bioconvection flow and tribology of trihybrid nanofluid with oxytactic microorganisms

   Munawar Abbas, Mohamed Medani, Yahia Said +5

   СтатьяNanofluid Flow and Heat TransferJournal of Thermal Analysis and Calorimetry2025Цитирований: 2

   ABIABI:AkademIndex/openalex/2026.other.124530

3. Enhanced thermal analysis of CNTs+TiO2/water-based trihybrid nanofluid with gyrotactic microbes and Hall current: enzyme biosensors and bacteria-powered micromixers applications

   Mouloud Aoudia, Ahmed Babeker Elhag, Munawar Abbas +5

   СтатьяMicro and Nano RoboticsJournal of Thermal Analysis and Calorimetry2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000485

4. Machine learning–augmented finite element modeling for transient hemodynamics in human arteries

   Muhammad Sheeraz Junaid, Muhammad Nauman Aslam, Shajar Abbas +4

   СтатьяElasticity and Material ModelingComputers in Biology and Medicine2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.007729