Сonditional printed sheet Approved for publication by the Academic Council of Odesa Polytechnic National University on the issue publication (Protocol No. 5 dated 06, November 2026)

Recommended for publication by the Academic Council of the Computer Systems Institute of Odesa Polytechnic National University (Protocol No. 3 dated 04, November 2026)

DOI: https://doi.org/10.15276/hait
 

Vol. 9 No. 4 (2026)

“Herald of Advanced Information Technology”

Table of Contents

Theoretical aspects of computer science, programming and data analysis

An adaptive neuro-fuzzy inference system for software development risk assessment in uncertain environments

Ihor M. Liakh , Yurii V. Kish, Ruslana Y. Zhovtani, Mariya Yu. Kashka, Martin Kelemen
PDF

487–501

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DOI: https://doi.org/10.15276/hait.09.2026.31

Fractal principles for constructing second-order cryptographic accumulators

Artem A. Buchikhin, Viktor O. Boltenkov
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502–520

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DOI: https://doi.org/10.15276/hait.09.2026.32

Modified neural models based on the bidirectional reflectance distribution functions

Oleksandr N. Romanyuk , Yevhen K. Zavalniuk, Ruslan P. Shevchuk, Oleksandr A. Siropiatov
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521–538

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DOI: https://doi.org/10.15276/hait.09.2026.33

Evidence-grounded benchmarking of retrieval-augmented generationarchitectures for scientific claim verification

Oleksii I. Sheremet, Stefan Palis, Oleksandr V. Sadovoi, Sergey V. Podlesny, Kateryna S. Sheremet
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539–566

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DOI: https://doi.org/10.15276/hait.09.2026.34

Deep learning for cryptocurrency price forecasting: A taxonomy, benchmark, and gap analysis

Nguyen Tien Duy, Tran The Vinh, Nguyen Thanh Long
PDF

567–587

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DOI: https://doi.org/10.15276/hait.09.2026.35

A process-grounded framework for submission-time prediction of code review outcomes

Oleksandr S. Aratovskyi, Vira V. Liubchenko
PDF

588–604

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DOI: https://doi.org/10.15276/hait.09.2026.36

Evaluating the effectiveness of multi-step automated source code refactoring using a large language model

Andrii I. Hryshchenko, Nataliia O. Komleva
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605–619

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DOI: https://doi.org/10.15276/hait.09.2026.37

Improving accuracy of land cover classification through ensemble classification of lightweight deep learning models on EuroSAT dataset

Oleg M. Galchonkov, Illia O. Baskov, Mykola I. Babych, Sergiy Y. Smyk
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620–635

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DOI: https://doi.org/10.15276/hait.09.2026.38

Information technologies and computer systems

Formalization of the stages of conducting acoustic expertise when designing decision support systems

Victoriya V. Usik, Bohdan P. Fedorchak, Oksana A. Povoroznyuk, Anna E. Filatova, Valerii V. Filatov
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636-652

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DOI: https://doi.org/10.15276/hait.09.2026.39

Machine learning and sentiment analysis for intelligent project selection: design and experimental validation

Vitaliy M. Kobets, Grygoriy V. Starchenko, Pavlo Ye. Ardanov
PDF

653–670

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DOI: https://doi.org/10.15276/hait.09.2026.40

Model-based sensitivity analysis of dual-channel software-defined radio direction finding for unmanned aerial vehicle control signals

Serhii V. Zabolotnii, Anatolii V. Chepynoha, Vitalii V. Koval, Pavlo A. Klopotovskyi
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671–682

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DOI: https://doi.org/10.15276/hait.09.2026.41

A method for detecting financial phishing in email based on a judicial interaction model of intelligent agents

Liudmyla O. Tereikovska, Iurii V. Krak, Anna O. Korchenko, Olena I. Balina, Oleh I. Tereikovskyi
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683–699

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DOI: https://doi.org/10.15276/hait.09.2026.42

Risk response compliance framework for organizational information systems: Architecture and sectoral diagnostics

Mark Israel, Vyacheslav S. Kharchenko
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700–717

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DOI: https://doi.org/10.15276/hait.09.2026.43

Information technologies in energy systems engineering and manufacturing

In-wheel surface-mounted permanent magnet motor design for light electric vehicle based on drive cycle WLTC Class 1

Ihor Z. Shchur, Ihor Y. Lutchyn, Marek Lis
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718–735

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DOI: https://doi.org/10.15276/hait.09.2026.44

Information technologies in socio-economic, organisational and technical systems

A fuzzy multicriteria model for assessing social risk based on public attitudes toward artificially generated content

Volodymyr V. Polishchuk, Iwona Włoch, Andrii A. Matei, Yurii Yu. Mlavets
PDF

736–751

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DOI: https://doi.org/10.15276/hait.09.2026.45

Real-time extraction of cognitive-semantic security indicators:a natural-language-processing pipeline for anomaly-driven adaptive governance

Maksym A. Rohovets, Victor V. Ievdokymov
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752–759

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DOI: https://doi.org/10.15276/hait.09.2026.46

Published: 2026-11-10

2663-7731 (Online)
ISSN 2663-0176 (Print)