Vol 4 № 2, 2021

2021; Vol. 4 No. 2:

127–139

DOI: https://doi.org/10.15276/aait.02.2021.1

The materials of the article may be used in accordance with the Creative Commons Attribution 4.0 International License license with the obligatory indication of authorship

 

Distributed deep learning framework for smart building transducer network


Ivan M.
Lobachev


Svitlana G. 
Antoshchuk


Mykola A. 
Hodovychenko

 

How to cite Download pdf

 

2021; Vol. 4 No. 2:

140–152

DOI: https://doi.org/10.15276/aait.02.2021.2

The materials of the article may be used in accordance with the Creative Commons Attribution 4.0 International License license with the obligatory indication of authorship

 

Passivity-based control system for stand-alone hybrid electrogenerating complex


Yurii O. 
Biletskyi


Ihor Z. 
Shchur


Rostyslav-Ivan V. 
Kuzyk

 

How to cite Download pdf

 

2021; Vol. 4 No. 2:

153–167

DOI: https://doi.org/10.15276/aait.02.2021.3

The materials of the article may be used in accordance with the Creative Commons Attribution 4.0 International License license with the obligatory indication of authorship

 

Mechatronic technological system information support


Vasily P. 
Larshin

https://aait.op.edu.ua/img/Mezhuyev.png
Anatoly M. 
Gushchin

 

 

How to cite Download pdf

 

2021; Vol. 4 No. 2:

168-177

DOI: https://doi.org/10.15276/aait.02.2021.4

The materials of the article may be used in accordance with the Creative Commons Attribution 4.0 International License license with the obligatory indication of authorship

 

Improving FPGA components of critical systems based on natural version redundancy


Oleksandr V. 
Drozd


Andrzej 
Rucinski


Kostiantyn V. 
Zashcholkin


Myroslav O. 
Drozd


Yulian Yu. 
Sulima

How to cite Download pdf

 

2021; Vol. 4 No. 2:

178–191

DOI: https://doi.org/10.15276/aait.02.2021.5

The materials of the article may be used in accordance with the Creative Commons Attribution 4.0 International License license with the obligatory indication of authorship

 

Discrete approximation of continuous objects with MATLAB


Olga I. 
Tolochko


Stefan
Palis


Oleksii O. 
Burmelov


Danylo V. 
Kaluhin

How to cite Download pdf

 

2021; Vol. 4 No. 2:

192–201

DOI: https://doi.org/10.15276/aait.02.2021.6

The materials of the article may be used in accordance with the Creative Commons Attribution 4.0 International License license with the obligatory indication of authorship

 

Deep learning technology of convolutional neural networks for facial expression recognition


Denys V. 
Petrosiuk


Olena O.
Arsirii


Oksana Ju.
Babilunha


Anatolii O. 
Nikolenko

How to cite Download pdf