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Serkan Budak

5 papers hereh-index 245 citations9 works total

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

author position
  • first author4
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • eess.SP3
  • eess.IV2

identity via Semantic Scholar / OpenAlex

most citedClassification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines

27 citations · 32 across the 5 of their papers we have counts for

collaborators
Showing eess.SPShow all

3 papers · 1 filter

eess.SP2021★ 3 cited

Determination of Fault Location in Transmission Lines with Image Processing and Artificial Neural Networks

Serkan Budak, Bahadir Akbal

In order to transmit electrical energy in a continuous and quality manner, it is necessary to control it from the point of production to the point of consumption. Therefore, protec…

eess.SP2020★ 2 cited

Fault Location Estimation by Using Machine Learning Methods in Mixed Transmission Lines

Serkan Budak, Bahadir Akbal

Overhead lines are generally used for electrical energy transmission. Also, XLPE underground cable lines are generally used in the city center and the crowded areas to provide elec…

eess.SP2020

Estimation of High Impedance Fault Location in Electrical Transmission Lines Using Artificial Neural Networks and R-X Impedance Graph

Serkan Budak, Bahadir Akbal

It is very important to ensure continuity in the process from generation of electricity to transmission to cities. The most important part of the system is energy transmission line…

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