Mathematical, Computer & Statistical Sciences
All Items
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0 0 Cited —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 …
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56 17 Cited —This study examines whether Shannon entropy regularization can mitigate the concentration associated with classical minimum-variance portfolio optimization while preserving risk-adjusted performance. Using …
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102 32 Cited —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 …
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69 35 Cited —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 …
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183 53 Cited —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 …
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241 75 Cited —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. …
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210 83 Cited —The proliferation of agricultural medicines has supported crop productivity, but counterfeit pesticides, herbicides, fertilizers, and bio-based products, fragmented supply-chain management, and limited …
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344 71 Cited —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 …
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335 51 Cited —This study evaluates the relative operational efficiency of the eleven legacy Nigerian electricity distribution companies (DisCos) over 2018--2025 using an integrated Data Envelopment Analysis …
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341 95 Cited —With the ongoing expansion of healthcare services, the amount of medical waste (MW) has been rising steadily, placing increasing pressure on environmental systems and public health. Identifying an …
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222 80 Cited —This article develops a factorization-based operator framework for two-variable discrete Gould--Hopper--Appell polynomials within Delta_(delta) -calculus. Following the Infeld--Hull factorization …
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351 89 Cited —For a finite commutative ring R, the nil clean graph GN(R) is the undirected simple graph with the elements of R as its vertex set, where two distinct vertices x and y are …
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291 86 Cited —When strong causality fails, the Alexandrov topology of a spacetime is strictly coarser than the manifold topology. Since pathologies confined to sets of measure zero are routinely disregarded in …
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459 115 Cited —The Model Context Protocol (MCP) standardizes connections between large language model applications and external tools and data. Its capability negotiation, dynamic discovery, insertion of tool results …
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290 96 Cited —This study investigates the existence, uniqueness, and Ulam--Hyers stability of solutions to nonlinear fractional differential equations (NFDEs) involving the Caputo fractional derivative. We extend and …
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335 104 Cited —Skewed distributions have an additional shape parameter that represents the direction of the asymmetry in the density. If skewness in observations is ignored, statistical inferences based on symmetric …
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290 118 Cited —Artificial intelligence (AI)-enabled telemedicine platform selection involves multiple conflicting criteria and uncertain expert judgments. Conventional multi-criteria decision-making (MCDM) approaches …
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496 134 Cited —This study evaluates an explainable ensemble in which Convolutional Neural Network and Bidirectional Long Short-Term Memory feature extractors feed a Random Forest classifier, applied under one …
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406 95 Cited —Plant diseases threaten agricultural productivity, and automated image analysis can support early identification of visible disease symptoms. This study introduces HybOptic-CNN, a convolutional neural …
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431 135 Cited —Network-security planning frequently depends on judgments that are imprecise, incomplete, and sometimes internally conflicting. Conventional numerical decision models are effective when assessments are …
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439 135 Cited —Nigeria faces challenges in the accurate diagnosis of respiratory diseases such as tuberculosis (TB), pneumonia, and COVID-19 because of limited radiology resources and stringent patient-privacy …
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433 155 Cited —Accurate forecasting of infectious disease spread is essential for public health decision-making. This study compares mechanistic susceptible-exposed-infectious-removed (SEIR) models, machine-learning …
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203 126 Cited —A fresh class of hybrid special polynomials, termed the Bell-enriched Appell-lambda-polynomials, is constructed through the discrete convolution of Bell-based lambda-polynomials with the Appell sequence. A …
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456 165 Cited —The spanning tree of a graph is obtained when all vertices of a graph are connected in such a way that no cycle is formed. This work proposes a new algorithm that, at each round, selects a maximal …
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648 195 Cited —This article introduces a new concept of complex single-valued neutrosophic sets (CSVNS) and explores their basic set-theoretic characteristics. Based on this framework, an approach to visual analytics …
