Новые информационные технологии в научных исследованиях: материалы XХX Всероссийской научно-технической конференции студентов, молодых ученых и специалистов: Т.1. Т. 1.

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Новые информационные технологии в научных исследованиях: материалы XХX Всероссийской научно-технической конференции студентов, молодых ученых и специалистов: Т.1

Т. 1. Ryazan : -, 2025.

Подходы 3D-реконструкции лица для обнаружения дипфейков

Pikul A. S., В кн.: Новые информационные технологии в научных исследованиях: материалы XХX Всероссийской научно-технической конференции студентов, молодых ученых и специалистов: Т.1Т. 1.: Рязань: Рязанский государственный радиотехнический университет, 2025. С. 232–233.

Современные методы генерации дипфейков достигли высокой степени реализма, что создаёт серьёзные вызовы для систем аутентификации личности и защиты медиаинформации. Большинство существующих подходов к детекции дипфейков основаны на 2D-признаках: текстуре, артефактах лица и цветовых несоответствиях. Однако подобные методы слабо устойчивы к новым генеративным моделям, которые воспроизводят реалистичную геометрию лица. В связи с этим требуется всё больше ...

Added: December 13, 2025

Research target: Computer Science

Language: Russian

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Keywords: конференция

Новые информационные технологии в научных исследованиях: материалы XХX Всероссийской научно-технической конференции студентов, молодых ученых и специалистов: Т.1

Risks and the image of the future in the study of AI technologies prospects

Snegirev A., Sychev S., Futures 2026 Vol. 183 P. 1–22

This study addresses the systemic identification and categorization of risks associated with AI development, arising from tensions between technological evolution and institutional, infrastructural, and economic contexts. Drawing on a constructionist methodology, we interpret technological risks as constitutive elements of expert communities' images of the future. Through in-depth interviews with 100 AI experts, proportionally representing corporate, ...

Added: September 23, 2026

Choosing Between AI Responses: How Valence, Arousal, and Dominance Shape User Preference

Parshakov P., Paklina S., International Journal of Human-Computer Interaction 2026 P. 1–17

This study examines how emotional tone shapes user preference in human–large language model (LLM) interaction. Drawing on the Computers as Social Actors framework, we treat conversational AI as a social communicator whose affective cues influence user judgments. Using large-scale pairwise preference data from LMSYS Chatbot Arena, we model emotional tone through the Valence–Arousal–Dominance framework and ...

Added: September 23, 2026

A Two-Stage Deep Reinforcement Learning Framework for Radio Resource Management and Network Slicing in 5G Heterogeneous Networks

Andrabi U., Wadood E., Ojha S. K. et al., IEEE Access 2026 Vol. 14 P. 103358–103375

The emergence of 5G networks, aimed at accommodating diverse service requirements such as enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communication (URLLC), and massive Machine-Type Communication (mMTC), has presented significant challenges in radio resource management and network slicing. In dynamic heterogeneous network systems, traditional heuristics and mathematical programming methods find it challenging to attain scalable multi-objective ...

Added: September 23, 2026

LLM-assisted writing and citation advantage: evidence from scientific publications before and after ChatGPT release

Paklina S., Parshakov P., Elena Rapoport, Scientometrics 2026 P. 1–26

Generative artificial intelligence has become a routine part of academic writing. While much of the debate has focused on questions of integrity and authorship, less attention has been paid to how AI-assisted writing may affect research evaluation itself. This paper asks a straightforward but important question: does the use of LLMs in academic writing change ...

Added: September 23, 2026

Label-Free Quantification in the Crux Toolkit

Kertesz-Farkas A., Acquaye F. L., Journal of Proteome Research 2026 Vol. 25 P. 3764–3768

Ultimately, most tandem mass spectrometry (MS/MS) proteomics experiments aim to not just detect but also quantify the proteins in a given complex sample. Here, we describe an extension to the Crux MS/MS analysis toolkit to enable label-free quantification of peptides. We demonstrate that Crux’s new quantification command, which is modeled after the algorithms implemented in ...

Added: September 23, 2026

Risk Assessment Models for Heated Tobacco Products

Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Risk Analysis 2026 Vol. 46 No. 4 P. 1–26

Heated tobacco products (HTPs) are marketed as alternatives to conventional cigarettes with a potential reduced risk profile. Yet, their actual impact on cancer and noncancer disease risk remains uncertain and requires rigorous quantitative assessment. In this study, we develop a unified and transparent computational framework for toxicological risk assessment of HTPs, integrating chemical emissions data ...

Added: September 22, 2026

Segmentation of the Iris and Pupil of the Human Eye in Images from an Infrared Camera

Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 855–862

Tasks related to the automation of medical data processing are becoming more urgent. Particular attention is paid to systems for monitoring and analyzing human physiological parameters. Such systems often use specialized sensors to capture biomedical images, such as infrared cameras. This article describes our study of the problem of segmenting the eye pupil and iris ...

Added: September 21, 2026

A Model Based on Universal Filters for Image Color Correction

Aleksei Samarin, Nazarenko A., Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 844–854

Improving image quality is becoming an increasingly popular task, especially when working with mobile devices. One common approach to image enhancement is the use of convolutional neural networks. However, to achieve good results, such networks must be large enough, otherwise there is a risk of unwanted artifacts. In addition, large convolutional neural networks require significant ...

Added: September 21, 2026

Streptococci Recognition in Microscope Images Using Taxonomy-based Visual Features

Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Optical Memory and Neural Networks (Information Optics) 2024 Vol. 33 P. 424–434

This study explores the development of classifiers for microbial images, specifically focusing on streptococci captured via microscopy of live samples. Our approach uses AutoML-based techniques and automates the creation and analysis of feature spaces to produce optimal descriptors for classifying these microscopic images. This technique leverages interpretable taxonomic features based on the external geometric attributes ...

Added: September 21, 2026

Specialized Image Descriptors Adaptation for Polyp Recognition over Endoscopic Images

Aleksei Samarin, Aleksei Toropov, Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1053–1060

This paper presents a novel approach to classification in biomedical imaging, specifically targeting polyp recognition in video endoscopy snapshots. Our method leverages specialized image descriptors to enhance the accuracy and robustness of polyp recognition. By employing these specialized descriptors, we address the challenges inherent in analyzing biomedical images from open datasets. Our approach not only ...

Added: September 21, 2026

Lightweight Image Preprocessing Model for Improving Microorganism Detection in Microscopic Scenes

Самарин А. В., Торопов А. Г., Савельев А. Г. et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1044–1052

This paper presents a study aimed at improving the detection quality of small-sized microorganisms under challenging microscopic conditions through the application of a lightweight combined image preprocessing model. We focused on the task of detecting diplococci in images obtained through dynamic sample microscopy. The proposed approach employs predefined filters for image preprocessing, combined with the ...

Added: September 21, 2026

Advancements in Signal, Image and Video Processing

Singapore: Springer Singapore, 2025.

Added: September 21, 2026

Interpretable Lazy Classification with Interval Pattern Structures and Local Interval Explanations

Tomat A., Sergei O. Kuznetsov, International Journal of Approximate Reasoning 2026 Vol. 197 Article 109754

Interval Pattern Structures (IPS) provide a natural way to represent local, human-readable explanations for predictions on numerical data through vectors of intervals interpreted as axis-parallel hyper-rectangles. In this paper, we develop and evaluate an IPS-based k-nearest neighbors classifier, IPS-KNN, that explains each prediction through a single local interval description rather than through the aggregation of ...

Added: September 21, 2026

IDAP++: Advancing Divergence-Based Pruning via Filter-Level and Layer-Level Optimization

Aleksei Samarin, Nazarenko A., Kotenko E. et al., / Series arXiv "math". 2025. No. 2511.20141.

This paper presents a novel approach to neural network compression that addresses redundancy at both the filter and architectural levels through a unified framework grounded in information flow analysis. Building on the concept of tensor flow divergence, which quantifies how information is transformed across network layers, we develop a two-stage optimization process. The first stage ...

Added: September 21, 2026

Modernized Nonlocal Blocks for Infrared Camera Image Segmentation of the Human Eye

Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2025 Vol. 35 No. 2 P. 169–178

This study explores the incorporation of specialized self-attention mechanisms into deep learning architectures, with a particular emphasis on segmenting human iris and pupil regions in infrared images. In this work, we present some modified versions of nonlocal blocks designed to enhance self-attentive properties while addressing the distinct characteristics of infrared imaging data. By applying these customized ...

Added: September 21, 2026

Non-Contrast Brain CT Images Segmentation Enhancement: Lightweight Pre-Processing Model for Ultra-Early Ischemic Lesion Recognition and Segmentation

Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Journal of Imaging 2025 Vol. 11 No. 10 Article 359

Timely identification and accurate delineation of ultra-early ischemic stroke lesions in non-contrast computed tomography (CT) scans of the human brain are of paramount importance for prompt medical intervention and improved patient outcomes. In this study, we propose a deep learning-driven methodology specifically designed for segmenting ultra-early ischemic regions, with a particular emphasis on both the ...

Added: September 21, 2026

Pattern Recognition. ICPR 2024 International Workshops and Challenges

Springer, Cham, 2025.

Added: September 21, 2026

Automation of Multi-Class Microscopy Image Classification Based on the Microorganisms Taxonomic Features Extraction

Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Journal of Imaging 2025 Vol. 11 No. 6 P. 1–20

This study presents a unified low-parameter approach to multi-class classification of microorganisms (micrococci, diplococci, streptococci, and bacilli) based on automated machine learning. The method is designed to produce interpretable taxonomic descriptors through analysis of the external geometric characteristics of microorganisms, including cell shape, colony organization, and dynamic behavior in unfixed microscopic scenes. A key advantage ...

Added: September 21, 2026

Художественные выставки в регионах Российской империи: проблемы и перспективы изучения

Chukcheeva M., Культурная история («Культстор») 2025 № 2 С. 207–222

This article provides an overview of the all-Russian conference, “Beyond Russia’s Two Capitals: Regional Art Exhibitions in the Russian Empire,” and an analysis of the chal-lenges and opportunities of studying exhibi-tions outside of Saint Petersburg and Moscow. The text examines the main misconceptions that have developed in the study of artistic life in the regions. ...

Added: December 15, 2025

XIV Конгресс молодых ученых ИТМО. Сборник тезисов

СПб.: Университет ИТМО, 2025.

Издание содержит тезисы научных работ молодых ученых, доложенные на XIV Конгрессе молодых ученых по секциям: интеллектуальные инфокоммуникационные технологии; информатика и программирование; информационная безопасность, проектирование, технология элементов и узлов компьютерных систем, математическое моделирование, мобильная разработка, мультимедиа-технологии, дизайн и юзабилити, нейротехнологии и программная инженерия, программная инженерия и технологии, речевые и биометрические технологии, робототехника и искусственный интеллект, системы ...

Added: December 13, 2025

Молодежь и наука: слово, текст, личность. Материалы VII Международной молодежной научно-практической конференции. Ульяновск, 2024.

Ульяновск: Ульяновский государственный педагогический университет им. И.Н. Ульянова, 2024.

Первый том сборника материалов VII Международной научно-практической молодежной конференции «Молодежь и наука: слово, текст, личность» содержит статьи по проблемам теоретического и прикладного языкознания, речеведения, медиалингвистики и литературоведения. Издание предназначено молодым ученым, магистрантам, аспирантам, студентам, занимающимся научно-исследовательской деятельностью. Материалы сборника также представляют интерес для преподавателей лингвистических дисциплин в высшей школе. ...

Added: November 20, 2025

Шестые Бибихинские чтения. Обзор всероссийской научной конференции (27-28 июня 2025 г.)

Барышникова А. Р., Дурнев А. Д., Tomashevskaya A., Философия. Журнал Высшей школы экономики 2025 Т. 9 № 3 С. 399–409

Шестые Бибихинские чтения: обзор всероссийской научной конференции ...

Added: October 1, 2025

Китай и соседи. Сборник материалов 9-й всероссийской научной конференции молодых востоковедов

СПб.: Art-xpress, 2024.

В настоящем сборнике представлены статьи, подготовленные участниками 9й всероссийской научной конференции молодых востоковедов «Китай и соседи», состоявшейся 6–7 марта 2024 г. в ИВР РАН. Тематика статей охватывает широкий круг вопросов: история, литература, международные отношения, искусство Китая и других стран Восточной и Юго-Восточной Азии. ...

Added: November 29, 2024

Гражданское и арбитражное судопроизводство: история и современность. Сборник материалов научно-практической конференции, посвященной выдающемуся процессуалисту М.К. Треушникову

М.: Университет прокуратуры Российской Федерации, 2024.

В сборник включены тезисы выступлений и статьи участников проведенной в Университете прокуратуры Российской Федерации научно-практической конференции, посвященной выдающемуся процессуалисту М.К. Треушникову. По тексту настоящего сборника ссылки на Верховный Суд Российской Федерации и иные суды приводятся без конкретизации судебных коллегий, использованы материалы судебной практики с официальных сайтов судов в информационно-телекоммуникационной сети «Интернет». Для работников органов прокуратуры, ...

Added: November 18, 2024