Bengisen Pekmen

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Publications (48)

• Neural Networks and Gaussian Regression Process Comparison on a Physical Problem
  2027 DOI: 10.1007/978-3-032-30488-9_29
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• Numerical and neural network investigation on bioconvection of nanofluid with oxytactic bacteria under magnetic source
  International Journal of Numerical Methods for Heat & Fluid Flow 2026 DOI: 10.1108/HFF-01-2026-0081
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• MHD bioconvection flow in different curvy cornered cavity configurations: CFD and machine learning analysis
  International Communications in Heat and Mass Transfer 2026 DOI: 10.1016/j.icheatmasstransfer.2026.111373
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• Neural network modeling of bioconvection flow in a curved-corner enclosure with magnetic potential
  Merve Gurbuz-Caldag, Bengisen Pekmen, Hakan Fehmi Oztop
  Engineering Analysis with Boundary Elements 2026 DOI: 10.1016/j.enganabound.2026.106746
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• Numerical investigation on bioconvection flow in the presence of two concentrations
  Journal of Thermal Analysis and Calorimetry 2025 DOI: 10.1007/s10973-025-15015-9
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• Modeling on magnetohydrodynamic Stokes flow using machine learning and curve fitting
  Neural Computing and Applications 2025 DOI: 10.1007/s00521-025-11088-7
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• A Data-Driven Approach on Bioconvection Flow
  2025 DOI: 10.1007/978-3-031-96962-1_25
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• A machine learning investigation on MHD duct flow
  International Journal of Dynamics and Control 2025 DOI: 10.1007/S40435-025-01588-8
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• Artificial Intelligence for Modeling Lid-Driven Cavity Flow with Slip Boundary Condition
  2025 DOI: 10.1007/978-3-031-97992-7_26
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• Intelligent Prediction on Mixed Convection Flow via Neural Networks
  2025 DOI: 10.1007/978-3-031-97992-7_31
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• Machine Learning Techniques on a Physical Problem
  2025 DOI: 10.1007/978-3-031-97992-7_14
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• Numerical Investigation on Fe3O4-Water Nanofluid in the Presence of Magnetotactic Bacteria
  Journal of Applied and Computational Mechanics 2025 DOI: 10.22055/JACM.2024.47204.4674
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• A Machine Learning Approach of MHD Stokes Flow in a Lid-Driven Cavity
  Proceedings of the International Conference on Control, Decision and Information Technologies (CoDIT) 2024 DOI: 10.1109/CODIT62066.2024.10708600
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• Machine Learning Modeling for Shape Parameter c in MQ-RBF Applied to Burgers’ Equations
  2024 DOI: 10.1007/978-3-031-70018-7_32
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• Numerical and statistical approach on chemotaxis-haptotaxis model for cancer cell invasion of tissue
  Mathematical Modelling and Control 2024 DOI: 10.3934/MMC.2024017
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• Numerical and machine learning approaches in nanofluid natural convection flow in a wavy cavity
  Engineering Analysis with Boundary Elements 2023 DOI: 10.1016/j.enganabound.2023.06.009
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• Entropy Generation Due to Magneto-Convection of a Hybrid Nanofluid in the Presence of a Wavy Conducting Wall
  Bengisen Pekmen, Hakan Fehmi Oztop
  Mathematics 2022 DOI: 10.3390/math10244663
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• Natural convection of hybrid nanofluid flow in the presence of multiple vertical partial magnetic fields in a trapezoidal shaped cavity
  The European Physical Journal Special Topics 2022 DOI: 10.1140/epjs/s11734-022-00600-y
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• The effect of inclined periodic magnetic field on natural convection flow of Al2O3-Cu/water nanofluid inside right isosceles triangular closed spaces
  Engineering Analysis with Boundary Elements 2022 DOI: 10.1016/j.enganabound.2022.05.009
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• Mixed bioconvection flow of Ag-MgO/water in the presence of oxytactic bacteria and inclined periodic magnetic field
  International Communications in Heat and Mass Transfer 2022 DOI: 10.1016/j.icheatmasstransfer.2022.106015
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