Computer science and informatics

OBJECT-LEVEL ACCESS TO SVG SCENE OBJECTS: A BENCHMARK AND A RASTER-BASED METHOD FOR EXTRACTING VECTOR OBJECTS FROM A TEXTUAL QUERY

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Research article

Тимофеенко Б. А.0009-0009-6281-7239
Ефимова В. А.
Жарский И. А.
Малашенко Б. Т.0009-0001-8553-8883

Timofeenko B. A.
Efimova V. A.
Zharskii I. A.
Malashenko B. T.

https://doi.org/10.60797/IRJ.2026.169.21

DOI:

https://doi.org/10.60797/IRJ.2026.169.21

EDN:

WGLDRS

Suggested:

31.05.2026

Accepted:

23.06.2026

Published:

17.07.2026

Issue: № 7 (169), 2026

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

124

Optimising the context of large language models in agent-based systems: from static prompt engineering to dynamic context engineering

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Research article

Лабинцев А. И.0000-0002-5167-2689
Мыратгелдиев Ашыр0009-0008-3688-5679

Labincev A. I.
Myratgeldiyev A.

https://doi.org/10.60797/IRJ.2026.168.70

DOI:

https://doi.org/10.60797/IRJ.2026.168.70

EDN:

ZUEYPW

Suggested:

21.04.2026

Accepted:

22.05.2026

Published:

17.06.2026

Issue: № 6 (168), 2026

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

256

Analysis of metro station performance based on hybrid simulation modeling

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Research article

Киндинова В. В.0000-0001-5304-1293
Деревянко Е. А.0009-0005-0338-6820

Kindinova V. V.
Derevyanko Y. A.

https://doi.org/10.60797/IRJ.2026.169.76

DOI:

https://doi.org/10.60797/IRJ.2026.169.76

EDN:

FIVLYH

Suggested:

14.04.2026

Accepted:

26.06.2026

Published:

17.07.2026

Issue: № 7 (169), 2026

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

NUMERICAL STUDY OF NON-STATIONARY HEAT AND MASS TRANSFER PROCESSES IN A DRILLED WELL

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Research article

Труфанова Н. М.
Киряков Д. А.0009-0008-8707-725X

Trufanova N. M.
Kiryakov D. A.

https://doi.org/10.60797/IRJ.2026.167.36

DOI:

https://doi.org/10.60797/IRJ.2026.167.36

EDN:

EQFCWQ

Suggested:

24.03.2026

Accepted:

23.04.2026

Published:

18.05.2026

Issue: № 5 (167), 2026

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

489

Multi-task regression learning for digital plant phenotyping based on Bayesian uncertainty weighting and biological a priori knowledge

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Research article

Брыкин В. В.0000-0002-6143-8992

Brykin V. V.

https://doi.org/10.60797/IRJ.2026.167.12

DOI:

https://doi.org/10.60797/IRJ.2026.167.12

EDN:

USGAHK

Suggested:

08.03.2026

Accepted:

06.05.2026

Published:

18.05.2026

Issue: № 5 (167), 2026

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

265

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