The conventional non-parametric machine learning models, such as Gradient Boosted Decision Trees (GBDTs), can be very powerful in terms of predictive capabilities for road traffic accident (RTA) risk indexing, but are vulnerable with respect to some architectural aspects: they lack deterministic domain-safety heuristic...
V. Ajitha, N. Gomathi, W. A. Breen et al.· 2026 International Conferenc...· 0 citations
An explainable and robust classification framework that will be able to retain its performance under in-distribution and blind-testing settings and validating its generalization ability of domain shift is proposed.
A. Balamurugan, N. Gomathi· Scientific Reports· 0 citations
Four key advanced domination variants within the strict product-based constraints of PBfGs are investigated: secure dom-ination, which ensures network resilience under node failure; 2-domination, which guarantees redundant coverage for fault tolerance; connected perfect domination, which enforces structural connectivit...
Mujeeburahman T. C., R. Theivaraman, K. Maheshwaran et al.· Adolescência e Saúde· 0 citations
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