Mathematical, Computer & Statistical Sciences
All Items
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1670 811 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 …
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1135 459 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 …
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1099 424 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 …
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1106 529 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 …
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1315 712 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 …
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997 536 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 …
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1188 463 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 …
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1162 521 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 …
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827 442 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 …
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1504 613 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 …
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840 512 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 …
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1222 896 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 …
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1048 599 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 …
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1065 674 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 …
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1053 412 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 …
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1310 549 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 …
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1199 605 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 …
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1924 752 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 …
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1612 1007 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 …
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1018 710 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 …
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1739 1107 Cited —In several earlier studies, machine learning (ML) has been widely explored for fraud detection. However, fraud detection is still a challenging problem. This is due to the imbalanced nature of fraud data, …
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1159 876 Cited —Smart contracts have attracted significant attention within the blockchain ecosystem due to their ability to automate agreements when specific pre-defined conditions are met. However, concerns about the …
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1664 788 Cited —Obstacle is an object positioned along a path of propagation with the potential to cause a collision and hence, an accident. Over the years, several papers have applied advanced computer vision techniques, …
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1102 627 Cited —This study introduces a novel cluster of hybrid polynomial kernel families, designed to achieve significantly lower asymptotic mean integrated squared error compared to traditional kernels. These hybrid …
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1083 442 Cited —Molodtsov pioneered the notion of soft set theory, presenting it as a mathematical tool for dealing with uncertainty. Numerous researchers have subsequently developed models leveraging this theory to …
