Volume 9, Issue 1, February 2027 (in progress)

Machine learning (ML) models for hepatitis B virus (HBV) outcome prediction must address high variance, bias, and class imbalance. Previous ensemble-learning studies have commonly combined only two models …

The proliferation of agricultural medicines has supported crop productivity, but counterfeit pesticides, herbicides, fertilizers, and bio-based products, fragmented supply-chain management, and limited …

With the tremendous growth of cloud computing, cyber threat intelligence systems, and compressed big-data storage, efficient and secure compressed pattern-matching techniques are in high demand. …

This study examines whether Shannon entropy regularization can mitigate the concentration associated with classical minimum-variance portfolio optimization while preserving risk-adjusted performance. Using …

In this article, we introduce degenerate multivariate Hermite--based Fubini polynomials by convoluting three-variable degenerate Hermite and Fubini polynomials. First, we derive the generating function …

This study develops a double Laplace--Sawi decomposition technique for nonlinear partial differential equations by coupling the double Laplace--Sawi transform with Adomian polynomials.  In contrast with a …

A graph G admits a prime labeling if its vertices can be assigned the integers 1,2,. . . ,|V(G)| so that every pair of adjacent vertices receives coprime labels; a graph with this property is …

Zero-inflated count data are commonly modelled by mixing a degenerate distribution at zero with a Poisson or negative binomial component, thereby imposing a parametric form on the counts. The transition …

This paper introduces the inverse-order divisor graph associated with a finite group G, a hybrid graph obtained by combining the adjacency conditions of the order-divisor graph and the classical …