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

5 papers

eess.IV2021

Comparative Fault Location Estimation by Using Image Processing in Mixed Transmission Lines

Serkan Budak, Bahadir Akbal

The distance protection relays are used to determine the impedance based fault location according to the current and voltage magnitudes in the transmission lines. However, the faul…

eess.SP20213 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.IV202027 cited

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

Umut Özkaya, Şaban Öztürk, Serkan Budak +2

Purpose: Coronavirus 2019 (COVID-19), which emerged in Wuhan, China and affected the whole world, has cost the lives of thousands of people. Manual diagnosis is inefficient due to…

eess.SP20202 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…