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Computation is a peer-reviewed journal published by MDPI, covering Fluid Dynamics and Turbulent Flows, Lattice Boltzmann Simulation Studies, Advanced Chemical Physics Studies. Over its lifetime it has published 1,725 papers, which have received 14,924 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Computation 2023, 12, 45–58.
Formats any DOI in Computation style. No sign-up. |
| Publishes research in | Fluid Dynamics and Turbulent Flows Lattice Boltzmann Simulation Studies Advanced Chemical Physics Studies Fractional Differential Equations Solutions Wind and Air Flow Studies |
| ISSN | 2079-3197 |
| Citation impact (2-yr) | 3.25 |
| h-index | 44 |
| i10-index | 455 |
| Article processing charge | $1,515 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | National Aerospace University – Kharkiv Aviation Institute |
| 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.
Convolutional neural networks (CNNs) are one of the main types of neural networks used for image recognition and classification. CNNs have several uses, some of which are object recognition, image processing, computer vision, and face recognition. Input for convolutional neural networks is provided through images. Convolutional neural networks are used to automatically learn a hierarchy…
The re-kindled fascination in machine learning (ML), observed over the last few decades, has also percolated into natural sciences and engineering. ML algorithms are now used in scientific computing, as well as in data-mining and processing. In this paper, we provide a review of the state-of-the-art in ML for computational science and engineering. We discuss…
In today’s digital world healthcare is one core area of the medical domain. A healthcare system is required to analyze a large amount of patient data which helps to derive insights and assist the prediction of diseases. This system should be intelligent in order to predict a health condition by analyzing a patient’s lifestyle, physical…
Due to the increment in hand motion types, electromyography (EMG) features are increasingly required for accurate EMG signals classification. However, increasing in the number of EMG features not only degrades classification performance, but also increases the complexity of the classifier. Feature selection is an effective process for eliminating redundant and irrelevant features. In this paper,…
This paper proposes a new definition of fractional derivative with non-singular kernel in the sense of Caputo which generalizes various forms existing in the literature. Furthermore, the version in the sense of Riemann–Liouville is defined. Moreover, fundamental properties of the new generalized fractional derivatives in the sense of Caputo and Riemann–Liouville are rigorously studied. Finally,…
