Sumati Kumari Panda on Muck Rack

Sumati Kumari Panda

As seen in: Nature, MDPI
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Articles

Computational simulations and uniform stability of fractional order neural networks under perturbed system setup

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By Sumati Kumari Panda, Amer Hassan Albargi, Jamshaid Ahmad, Kalla Kumara Swamy
| Nature Verified
Abstract This study addresses the existence and uniform stability of solutions for a class of Caputo-type fractional-order bidirectional associative memory (BAM) neural networks incorporating leakage delay in the view of perturbed system setup. A few numerical examples with delay and fractional parameters demonstrates the consistency of the theoretical results. Article Open access Article Open access Article Open access Ethics declarations The authors declare no competing interests.
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Approximate Controllability of Hilfer Fractional Stochastic Evolution Inclusions of Order 1 < q < 2

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By Anurag Shukla, Sumati Kumari Panda, Velusamy Vijayakumar, Kamalendra Kumar
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Fractal Fract | Free Full-Text | Complex-Valued Suprametric Spaces, Related Fixed Point Results, and Their Applications to Barnsley Fern Fractal Generation and Mixed Volterra-Fredholm Integral Equations

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By Sumati Kumari Panda, Velusamy Vijayakumar, Ravi Agarwal, Sumati Kumari
| MDPI
1. Introduction Complex-valued spaces offer a rich framework to explore mathematical ideas that lie beyond the constrain of real numbers. Several phenomena can be seen in a different and novel light, as every element was depicted in this space by a combination of the real portion and an imaginary portion—from quantum mechanics to signal processing.
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