A large dataset is needed to obtain a large learning set for a suitable classifier, while a large testing set is needed for a good estimate of the classifier’s performance (i.e. error probability). With a small dataset, after its random partitioning into learning and testing sets, both sets would end up consisting of smaller samples,…
Research in Mathematics Template
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About the Research in Mathematics format
Research in Mathematics is a peer-reviewed journal published by Taylor & Francis, covering Fractional Differential Equations Solutions, Fuzzy and Soft Set Theory, Fixed Point Theorems Analysis.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Research in Mathematics 12 (3): 45–58.
Formats any DOI in Research in Mathematics style. No sign-up. |
| Publishes research in | Fractional Differential Equations Solutions Fuzzy and Soft Set Theory Fixed Point Theorems Analysis Differential Equations and Numerical Methods Mathematical and Theoretical Epidemiology and Ecology Models |
| ISSN | 2768-4830 |
| Citation impact (2-yr) | 1.18 |
| h-index | 11 |
| i10-index | 12 |
| Total citations | 538 |
| Top institutions publishing here | Jimma University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Research in Mathematics per year
Citation impact of Research in Mathematics by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Research in Mathematics
The relevance of trigonometric distributions in modeling datasets is gaining a lot of interest in recent times because of their many desirable properties. This paper contributes to the area by introducing a new family of distributions called the cosine Topp–Leone family of distributions by combining the cosine-G family and the Topp–Leone generated family of distributions.…
The singularly perturbed parabolic differential equations with integral boundary conditions and a large negative shift in the space variable are studied in this paper. The implicit Euler method for the temporal direction and the cubic spline method for the spatial direction on a piecewise uniform mesh (Shishkin mesh) are applied to formulate a parameter-uniform numerical…
Hotspot analysis of spatial attributes is a persistent research field in data mining, and applying a model-based clustering procedure is increasingly becoming popular in identifying trends and patterns in datasets on crime events occurring in space. The distributions of potential crime hotspots are parameterized as arising from Gaussian multivariate distributions, whose parameters are estimated by…
In this paper, different numerical schemes are developed and investigated for solving singularly perturbed delay differential equations (DDEs). The solution of the considered equations exhibits a strong boundary layer when the perturbation parameter approaches zero. Standard numerical methods developed for solving regular problems fail to treat accurately the considered equations. We developed three numerical schemes…