Mathematical, Computer & Statistical Sciences
All Items
-
1075 745 Cited —In this study, a computational investigation that analyze the behavior of Magnetohydrodynamic (MHD) micropolar Casson fluid flowing via a linearly stretchy wall, considering the effects of heat source in a …
-
1538 512 Cited —Ultra-high-dimensional (UHD) survival data presents significant computational challenges in biomedical research, particularly in Renal Cell Carcinoma (RCC), where genomic complexity complicates risk …
-
1449 414 Cited —In the field of disaster management, social media analytics has gained significant recognition. Social media platforms, particularly Twitter, have become an invaluable source for disseminating information …
-
1376 474 Cited —Class imbalance in epidemiological datasets, particularly for rare outcomes like Lassa Fever fatalities, complicates predictive modeling. This study addresses the issue by employing SMOTE to rebalance the …
-
1344 428 Cited —This paper reports a feature selection comparison between Lasso, Elastic Net, and Mutual Information-Support Vector Machine (MI-SVM) that are based on a hybrid Weibull-Freund-Cox Proportional Hazards …
-
1751 844 Cited —Transportation of crude oil by pipelines is the safest mode of oil transportation. In Nigeria, over 90\% of oil transported by federally regulated pipelines arrives safely every year. The flow starts from …
-
1308 484 Cited —This work explores the magnetohydrodynamics (MHD) viscous, incompressible, Casson hybrid nanofluid over a stretched sheet which is a well-known non-Newtonian fluid. The analysis incorporates the effects of …
-
1264 453 Cited —The effective cooling technology aims at removing the excess heat from the thermal components, equipment, and systems by ensuring their reliable operation and proper functioning. The fins play a vital role …
-
1249 568 Cited —Technostress refers to the stress caused by excessive technology use, especially in professional and educational environments. It increasingly affects corporate productivity, well-being, and effectiveness …
-
1461 747 Cited —Quantum computing holds transformative potential, but its adoption is hindered by the complexity of generating efficient, hardware-specific code. This work presents a modular, extensible compiler framework …
-
1066 560 Cited —Network service requests for voice and Internet may differ across locations. Network service providers are encouraged to conduct a quarterly check to identify the service plan that is mostly sought for in …
-
1322 487 Cited —A numerical model is represented to study the effect of gravitational settling velocity and leakage velocity on the concentration distribution of primary and secondary pollutants emitted from the point …
-
1355 550 Cited —The complex dynamic properties of ECG signals and the challenge of multi-category classification make automated diagnosis of arrhythmias difficult. In this paper, we propose a new model for the …
-
988 465 Cited —The Euclidean motion group G = S E(n) is a non-commutative and non-compact solvable Lie group which may also be referred to as an affine group of rigid motions on Rn realized as G = Rn x SO(n). It is …
-
1686 653 Cited —In this research, we extended the Log-Logistic distribution by incorporating it into the Maxwell generalized class, resulting in the Maxwell-Log Logistic (Max-LL ) distribution. The probability density …
-
952 539 Cited —In this work, a model for the coinfection of malaria and zika virus disease is studied. The model incorporates various control measures against the spread of malaria and zika virus disease such as …
-
1398 930 Cited —The prevalence of class imbalance is a common challenge in medical datasets, which can adversely affect the performance of machine learning models. This paper explores how several data imbalance mitigation …
-
1204 626 Cited —Social media platforms are no longer just for interacting with others and having fun; they are also now a place for people to voice their opinions on topics that are important to them. It has developed …
-
1237 701 Cited —In recent years, the integration of machine learning techniques within the medical field has shown promising results in aiding healthcare pro[1]fessionals in accurate diagnosis and treatment planning. This …
-
1235 434 Cited —The dung beetle optimization algorithm possesses robust search and optimization capabilities. However, when it encounters complex optimization challenges, it struggles with limited accuracy, restricted …
-
1481 578 Cited —This analysis aims to develop an efficient mathematical model for prediction of the system availability of a solar photovoltaic power plant under the concept of redundancy and exponentially distributed …
-
1405 640 Cited —Malware detection and classification are important requirements for information security because malware poses a great threat to computer users. As the growth of technology increases, malware is getting …
-
2111 779 Cited —In this research, we develop an innovative and efficient numerical method for solving a nonlinear one-dimensional time-fractional convection-diffusion-reaction equation (TFCDRE) with a variable …
-
1786 1044 Cited —Selection of important features is very vital in machine learning tasks involving high-dimensional dataset with large features. It helps in reducing the dimensionality of a dataset and improving model …
-
1210 740 Cited —This research deviates from usual studies in auction literature primarily focused on maximizing expected revenue. Instead, we concentrate on the strategic design of discrete Dutch auctions in the context …
