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Mathematics is a peer-reviewed journal published by MDPI, covering Fractional Differential Equations Solutions, Nonlinear Differential Equations Analysis, Multi-Criteria Decision Making. Over its lifetime it has published 28,086 papers, which have received 228,531 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Mathematics 2023, 12, 45–58.
Formats any DOI in Mathematics style. No sign-up. |
| Publishes research in | Fractional Differential Equations Solutions Nonlinear Differential Equations Analysis Multi-Criteria Decision Making Mathematical and Theoretical Epidemiology and Ecology Models Differential Equations and Numerical Methods |
| ISSN | 2227-7390 |
| Citation impact (2-yr) | 2.52 |
| h-index | 110 |
| i10-index | 6,517 |
| Article processing charge | $1,949 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | King Abdulaziz University |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Technologies have driven big data collection across many fields, such as genomics and business intelligence. This results in a significant increase in variables and data points (observations) collected and stored. Although this presents opportunities to better model the relationship between predictors and the response variables, this also causes serious problems during data analysis, one of…
Solving differential equations of fractional (i.e., non-integer) order in an accurate, reliable and efficient way is much more difficult than in the standard integer-order case; moreover, the majority of the computational tools do not provide built-in functions for this kind of problem. In this paper, we review two of the most effective families of numerical…
Predicting pillar stability is a vital task in hard rock mines as pillar instability can cause large-scale collapse hazards. However, it is challenging because the pillar stability is affected by many factors. With the accumulation of pillar stability cases, machine learning (ML) has shown great potential to predict pillar stability. This study aims to predict…
Synthetic data consists of artificially generated data. When data are scarce, or of poor quality, synthetic data can be used, for example, to improve the performance of machine learning models. Generative adversarial networks (GANs) are a state-of-the-art deep generative models that can generate novel synthetic samples that follow the underlying data distribution of the original…
In this paper, a new fuzzy multi-criteria decision-making model for traffic risk assessment was developed. A part of a main road network of 7.4 km with a total of 38 Sections was analyzed with the aim of determining the degree of risk on them. For that purpose, a fuzzy Measurement Alternatives and Ranking according to…
