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Examples and Counterexamples is a peer-reviewed journal published by Elsevier, covering graph theory and CDMA systems, Fractional Differential Equations Solutions, Graph theory and applications.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Examples and Counterexamples 12 (2023) 45–58.
Formats any DOI in Examples and Counterexamples style. No sign-up. |
| Publishes research in | graph theory and CDMA systems Fractional Differential Equations Solutions Graph theory and applications Nonlinear Differential Equations Analysis Coding theory and cryptography |
| ISSN | 2666-657X |
| Citation impact (2-yr) | 1.1 |
| h-index | 9 |
| i10-index | 8 |
| Total citations | 350 |
| Article processing charge | $330 |
| Open access | Yes |
| Top institutions publishing here | Karlsruhe Institute of Technology |
| Journal website | www.journals.elsevier.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.
VIKOR is one of the well known Multiple Criteria Decision Aid methods, used frequently and considered to produce robust results. However, it seems that it is not immune to the rank reversal phenomenon. The latter is a well studied phenomenon that occurs sometimes in many such methods and is the cause of often severe criticism.…
Image processing using Machine Learning (ML) and Artificial Neural Network (ANN) methods was investigated by employing the algorithms of Geographic Resources Analysis Support System (GRASS) Geographic Information System GIS with embedded Scikit-Learn library of Python language. The data are obtained from the United States Geological Survey (USGS) and include the Landsat 8 Operational Land Imager/Thermal…
An incompressible MHD nanofluid boundary layer flow over a vertical stretching permeable surface employing Buongiorno’s design investigated by considering the convective states. The Brownian motion and thermophoresis effects are used to implement the nanofluid model. Operating the similarity transmutations, to transform the governing partial differential equations into ordinary differential equations consisting of the momentum, energy,…
In this work, we discuss some pitfalls when solving differential equations with neural networks. Due to the highly nonlinear cost functional, local minima might be approximated by which functions may be obtained, that do not solve the problem. The main reason for these failures is a sensitivity on initial guesses for the nonlinear iteration. We…
Although modeling of fractures in solid materials has been within the focus of researchers for decades, a generally applicable and reliable numerical description is still an open topic. The complexity of fracture description hides within its multiscale nature, whereby the nano- and macroscale material behavior often vary significantly, and the transfer between these scales seems…
