A hybrid bio inspired neural model based on Ropalidia Marginata behavior for multi disease classification.

Both parametric (t-test) and non-parametric (Wilcoxon signed-rank test) analyses at α = 0.05 demonstrate that RMONN (88.38%) and RMOLMBP (97.20%) achieved highly significant improvements across all baseline comparisons (p < 0.001), indicating that their performance gains are robust and unlikely to be due to chance.

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In contrast, RMOLMBP and RMOLM achieved strong gains over CSNN and ABCNN but showed only marginal significance in some comparisons with CSBPERN and DNN-RBM (e.g., RMOLMBP vs.

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