Mathematical software for computers, complexes and computer networks

MATHEMATICAL SUBSTANTIATION OF THE ARCHITECTURE OF A COMBINED NEURAL NETWORK WITH DETERMINISTIC WEIGHT PARAMETRISATION IN MOBILE CYBER-PHYSICAL SYSTEMS FOR CROP MONITORING

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Research article

Рогачев А. Ф.0000-0002-3077-6622

Rogachev A. F.

https://doi.org/10.60797/IRJ.2026.169.19

DOI:

https://doi.org/10.60797/IRJ.2026.169.19

EDN:

LPRXTA

Suggested:

21.06.2026

Accepted:

14.07.2026

Published:

17.07.2026

Issue: № 7 (169), 2026

Rightholder: authors. License: Attribution 4.0 International (CC BY 4.0)

692

Research on the use of Pandas, Polars and PySpark libraries to analyze the large-scale Expedia Hotel Recommendations dataset

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Research article

Ильичев В. Ю.0000-0003-1017-5544
Федоров В. О.

Ilichev V. Y.
Fedorov V. O.

https://doi.org/10.60797/IRJ.2026.170.33

DOI:

https://doi.org/10.60797/IRJ.2026.170.33

EDN:

TDLWKU

Suggested:

16.05.2026

Accepted:

06.07.2026

Published:

17.08.2026

Issue: № 8 (170), 2026

Rightholder: authors. License: Attribution 4.0 International (CC BY 4.0)

Training neural networks based on exponential relaxation methods

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Research article

Ершов С. С.0009-0004-4312-2224
Черноруцкий И. Г.
Дробинцев П. Д.

Ershov S. S.
Chernorutskii I. G.
Drobintsev P. D.

https://doi.org/10.60797/IRJ.2026.168.116

DOI:

https://doi.org/10.60797/IRJ.2026.168.116

EDN:

QSVRYI

Suggested:

26.04.2026

Accepted:

26.05.2026

Published:

17.06.2026

Issue: № 6 (168), 2026

Rightholder: authors. License: Attribution 4.0 International (CC BY 4.0)

235

Automated construction of frame representations in the field of lexical typology based on parallel corpora and consecutive translations

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Research article

Полозов И. К.0000-0003-2679-5465
Волкова И. А.

Polozov I. K.
Volkova I. A.

https://doi.org/10.60797/IRJ.2026.167.64

DOI:

https://doi.org/10.60797/IRJ.2026.167.64

EDN:

WRHHEM

Suggested:

29.03.2026

Accepted:

24.04.2026

Published:

18.05.2026

Issue: № 5 (167), 2026

Rightholder: authors. License: Attribution 4.0 International (CC BY 4.0)

402

Analysis of the influence of triplet loss function modifications on the class features detection

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Research article

Вольнова Я. С.0009-0005-4377-7981
Сущинский А. П.

Volnova Y. S.
Suschinskiy A. P.

https://doi.org/10.60797/IRJ.2026.167.89

DOI:

https://doi.org/10.60797/IRJ.2026.167.89

EDN:

NOQTWI

Suggested:

04.03.2026

Accepted:

30.03.2026

Published:

18.05.2026

Issue: № 5 (167), 2026

Rightholder: authors. License: Attribution 4.0 International (CC BY 4.0)

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