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The Backpropagation Bayesian Regularization scheme neural network (BBRSNN) technique can accurately predict the heat and mass transport behavior of Ti₆Al₄V+TiO₂/carboxymethyl cellulose-water hybrid nanofluids under slip conditions and Soret/Dufour effects, achieving an accuracy level between 10^-11 and 10^-13. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Design‐oriented modeling of Ti₆Al₄V+TiO₂/carboxymethyl cellulose‐water based hybrid nanofluid: Backpropagation Bayesian Regularization neural network technique

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