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Serhii Shevchenko

National University of Civil Defence of Ukraine

94 Chernyshevska str.

Kharkiv, 61023

Ukraine

SCHOLARLY PAPERS

3

DOWNLOADS

262

TOTAL CITATIONS

5

Scholarly Papers (3)

1.

Improvement of the Model of Object Recognition in Aero Photographs Using Deep Convolutional Neural Networks

Eastern-European Journal of Enterprise Technologies, 5(2 (113), 6–21, 2021. doi:10.15587/1729-4061.2021.243094
Number of pages: 16 Posted: 10 Jan 2022
Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine, National University of Civil Defence of Ukraine, National University of Civil Defence of Ukraine, National University of Civil Defence of Ukraine, National University of Civil Defence of Ukraine, Kharkiv National Automobile and Highway University, Ivan Kozhedub Kharkiv National Air Force University, Kharkiv National Automobile and Highway University and Kharkiv National University of Radio Electronics
Downloads 105 (664,543)
Citation 2

Abstract:

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object recognition, deep convolutional neural network, aerial photograph, unmanned aerial vehicle

2.

Determining Stresses in the Metallic Structure of An Overhead Crane When Using Running Wheels of the New Design

Eastern-European Journal of Enterprise Technologies, 1(7 (109), 22–31, 2021. doi:10.15587/1729-4061.2021.225097
Number of pages: 10 Posted: 14 Apr 2021
Kharkiv National Automobile and Highway University, National University of Civil Defence of Ukraine, National Technical University "Kharkiv Polytechnic Institute", National University of Civil Defence of Ukraine, National University of Civil Defence of Ukraine, National University of Civil Defence of Ukraine and Pervomaisk Branch of Admiral Makarov National University of Shipbuilding
Downloads 81 (803,225)

Abstract:

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strain-gauge testing, stresses, running wheel, elastic insert, overhead crane, cargo trolley

3.

Construction of An Advanced Method for Recognizing Monitored Objects by a Convolutional Neural Network Using a Discrete Wavelet Transform

Slyusar, V., Protsenko, M., Chernukha, A., Gornostal, S., Rudakov, S., Shevchenko, S., Chernikov, O., Kolpachenko, N., Timofeyev, V., & Artiukh, R. (2021). Eastern-European Journal of Enterprise Technologies
Number of pages: 13 Posted: 21 Oct 2021
Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine, National University of Civil Defence of Ukraine, National University of Civil Defence of Ukraine, National University of Civil Defence of Ukraine, National University of Civil Defence of Ukraine, Kharkiv National Automobile and Highway University, Kharkiv Petro Vasylenko National Technical University of Agriculture, O.M. Beketov National University of Urban Economy in Kharkiv and State Enterprise “Southern State Design and Research Institute of Aviation Industry”
Downloads 76 (830,555)
Citation 3

Abstract:

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neural network, discrete wavelet transform, monitored objects, unmanned aircraft system