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R. Rayudu

2 papers hereh-index 201.4k citations102 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • astro-ph.SR1
  • eess.SY1

identity via Semantic Scholar / OpenAlex

most citedExploring the potential of neural networks to predict statistics of solar wind turbulence

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SY2022

Monitoring and Detection of Low-current High-Impedance Faults in Distribution Networks

Anwarul Islam Sifat, Fiona J. Stevens McFadden, Ramesh Rayudu +1

Faults in electricity distribution networks have the potential to ignite fires, cause electrocution, and damage the system itself. High current Low Impedance Faults (LIF) are typic…

astro-ph.SR2022★ 4 cited

Exploring the potential of neural networks to predict statistics of solar wind turbulence

Daniel Wrench, Tulasi N. Parashar, Ritesh K. Singh +2

Time series datasets often have missing or corrupted entries, which need to be ignored in subsequent data analysis. For example, in the context of space physics, calibration issues…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.