Neural Network Learns to Predict Nanofluid Flow and Heat Transfer Over a Porous Wedge
A new modeling study combines a MATLAB boundary-value solver with a Levenberg–Marquardt artificial neural network to predict hydromagnetic nanofluid flow, ...
A new modeling study combines a MATLAB boundary-value solver with a Levenberg–Marquardt artificial neural network to predict hydromagnetic nanofluid flow, ...
A newly isolated Bacillus mycoides strain 6i was optimized with response surface methodology and artificial neural networks to produce the ...
A combined neural network and gray relational analysis framework identified optimal CO₂ laser cutting settings for PMMA, cutting machining time ...
Machine learning models far outperformed expert-weighted AHP in mapping landslide susceptibility along a 123 km Himalayan highway corridor in Arunachal ...
A combined wind-tunnel and GA-ANN-CFD study of a Formula 1-style front wing shows flap height dominates downforce gains while slotting ...
A PLOS One study combines experiments, electromagnetic-thermal simulation, and a neural network to evaluate an induction self-heating insert with a ...
Machine learning models, led by an artificial neural network, accurately predicted mass transfer coefficients in both sections of a novel ...
A study of 237 final-year management students in North India finds that the anticipatory psychological contract mediates the link between ...
A combined CFD, wind tunnel and neural network analysis shows trailing-edge serrations raise stall angles on NACA 0012 airfoils while ...
A combined numerical and machine-learning study simulates Williamson–Casson hybrid nanofluid flow over a curved stretching sheet, reporting a 19.05 percent ...
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© 2025 Scienmag - Science Magazine