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2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN)
IEEE, 2024.
Chapters
Monahhova E., Morozova A., Gorodnicheva Y. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024. P. 120–123.
The current study examined behavioral and electrophysiological responses to attitude-consistent and attitude-inconsistent auditory deepfakes on COVID-19 vaccination topic. Deepfakes portrayed Russian media- influencers (two speaker types: a prominent medical doctor and COVID-dissident), broadcasting statements opposite to their public opinion. We hypothesized that people would evaluate the trust-associated statements higher to deepfake aligning with their internal ...
Added: October 10, 2024
Koriakina M., Луков М., Барцева К. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024. P. 70–73.
This study explored different paradigms and protocols to investigate participants' psychoemotional states. The study involved testing a variety of stimuli, including videos with dramatic content, videos with neutral themes, physiological stress induction, and presentation of polar stimuli. The subjects' emotional reactions were assessed using the DES. The study showed a decrease in shame-related emotions in ...
Added: October 10, 2024
Pomelova E., Popyvanova A., Bredikhin D. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024.
Transcranial random noise stimulation (tRNS) is a type of transcranial electrical stimulation. tRNS at the primary motor cortex affects corticospinal system (CSS) excitability. We assume that applying analogous protocols at the spinal cord level could similarly influence on CSS excitability, enabling a comparison of stimulation outcomes. This research aims to scrutinize the impact of combining ...
Added: October 11, 2024
Morozova A., Monahhova E., Gorodnicheva Y. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024. P. 124–127.
Fake news has become a serious problem with the development of the Internet and social networks. Due to their rapid spread and influence on people's opinions and decision-making, the need to combat media fakes become evident. This pilot study investigated behavioral and neuropsychological responses to fake news corrections that indicate the presence of the fake. ...
Added: October 23, 2024
Ivanova M., Grigoriy Kopytin, Moiseeva V. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024.
Prediction error and volatility estimate are important concepts in the predictive coding theory. In the present study, we derive the values of prediction error and volatility estimate from a hierarchical Bayesian model - Hierarchical Gaussian Filter. Using support vector machine (SVM) method, we predict the values of prediction error and volatility estimate from brain activity ...
Added: November 29, 2024
Martinez-Saito M., Alexey Belianin, Grygory Kopytin et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024.
In the field of economics, traditional decision-making models are often built on a foundation of extensive assumptions that might not always hold true in practical situations. Alternatively, models that utilize adaptive learning without assumptions are capable of adjusting to varying levels of uncertainty, though this adaptability might come at the expense of efficiency. In scenarios ...
Added: November 29, 2024
Perevoznyuk G., Ragimova A., Pleskovskaya A. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024. P. 144 – 147.
The impact of transcranial direct current stimulation (tDCS) on motor imagery (MI) holds significant potential for neurorehabilitation. Most studies focus on tDCS of the primary motor cortex (M1), neglecting other cerebral cortex regions involved in MI. This study examines the effects of tDCS of the visual cortex using different currents (anode, cathode, sham) on MI. ...
Added: December 3, 2024
Perevoznyuk G., Ragimova A., Batov A. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024. P. 140 – 143.
This study is dedicated to identifying differences in 4 types of motor imagery: first-person visual imagery, third-person visual imagery, kinesthetic imagery and sensory imagery. The research task includes Transcranial Magnetic Stimulation (TMS) over the motor cortex, during which Motor Evoked Potentials over 3 arm muscles will be measured. Also, correlations will be calculated between MEP ...
Added: December 3, 2024
Netherlands: ScienceDirect, 2025.
No ...
Added: June 28, 2026
Seidel A., Weske M., Montali M. et al., Information Systems 2026 Vol. 141 Article 102728
Business process management employs process models and event logs to represent the behavior of the information systems under study. Traditional case-centric notions consider the order of activities and events in isolated process instances. The emerging field of object-centric processes challenges this assumption by putting objects in the center. Object-centric process mining and modeling approaches identify ...
Added: June 27, 2026
IEEE, 2024.
A.S. Popov Russian Science and Technical Society with support from V. A. Trapeznikov Institute of Control Sciences, V.A. Kotelnikov Institute of Radio Engineering and Electronics, Autex Ltd. is leading the ХХVIII International Conference «Digital Signal Processing and its Applications — DSPA-2024» ...
Added: June 27, 2026
Ivchenko A., Дворкович А. В., Телекоммуникации 2020 Т. 12 С. 2–11
Dynamic Adaptive Streaming over HTTP (DASH) technology powers most multimedia services. Its specific features (re-buffering, quality switching, etc.) necessitate the development of specialized methods for assessing user subjective quality of experience (QoE) based on objective parameters. This article examines the impact of various metrics on QoE and presents assessment models with Spearman correlation coefficients up ...
Added: June 27, 2026
Gadzhimirzaev S., Хельвас А. В., 2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Mohammedia, Morocco 2023 P. 1–6
The article proposes the architecture for eventdriven Emergency Operation Center with Machine Vision Component. Sources of information are analyzed and approaches to machine vision events for tactical situations detection and estimation are discussed. Messages from Machine Vision Components are converted to Common Alerting Protocol and processed by Operation Center environment for tactical situations recognition. ...
Added: June 26, 2026
Gadzhimirzaev S., Хельвас А. В., Компьютерные исследования и моделирование 2022 Т. 14 № 6 С. 1255–1268
This work contains a description of the results of modeling the process of maintaining the readiness of a section of the road network under strikes of with specified parameters. A one-dimensional section of road up to 40 km long with a total number of strikes up to 100 during the work of the brigade is ...
Added: June 26, 2026
Gadzhimirzaev S., Хельвас А. В., Лукьянченко П. П., Computer Research and Modeling 2023 Vol. 15 No. 1 P. 129–140
In this article we propose a new approach to the analysis of econometric industry parameters for the industry consolidation level. The research is based on the simple industry automatic control model. The state of the industry is measured by quarterly obtained econometric parameters from each industry’s company provided by the tax control regulator. An approach ...
Added: June 26, 2026
Gadzhimirzaev S., Хельвас А. В., International Frequency Sensor Association (IFSA) Publishing, 19-21 February 2025 Granada, Spain 2025 P. 172–176
The paper presents models for an innovative fully robotic warehouse for storing boxed goods. A discrete multiagent simulation of the movement of shuttles in a warehouse for a given sequence of pallet shipments has been implemented. Different strategies for placement of boxes in various areas of a warehouse are evaluated, as well as optimal routing ...
Added: June 26, 2026
Medvedev M., Journal of Chemical Theory and Computation 2026 Vol. 22 No. 9
Density functional theory (DFT) is the workhorse of modern reactions and materials modeling. While the exact functional remains unknown, many approximations to it have been constructed either by hand-crafting functional forms to satisfy exact constraints or by machine learning. In this work, we show how both of these approaches can be fused to build both ...
Added: June 26, 2026
Selskiy A., Snegirev A., Колбин Е. И. et al., В кн.: Цифровая клиентоцентричность. Как современные технологии помогают компаниям и государству сделать шаг навстречу потребителям.: М.: ИСИЭЗ ВШЭ, 2026. Гл. 2 С. 71–142.
The second chapter of the monograph analyzes the current megatrends of customer centricity, shaped by digital technologies and transforming the approaches of companies and government bodies to customer and citizen engagement. Based on semantic big data analysis (using the iFORA system) and expert interviews, the authors identify four key megatrends.
The first megatrend, proactive engagement and personalization, describes ...
Added: June 26, 2026
Gadzhimirzaev S., Хельвас А. В., Computer Research and Modeling 2026 Vol. 18 No. 2 P. 423–438
This article presents a model of a fully automated warehouse with deep storage racks designed
for boxed goods storage. The study focuses on optimizing warehouse operations through discrete
multiagent simulation of shuttle movements for pallet loading and unloading tasks. The authors
investigate various product placement strategies, including the Nearest Channel Positioning Algorithm
(NCPA), Most Empty ChannelGroup Placement (MECGP), and ...
Added: June 24, 2026
Podolskaia E., Sinitsina A., European Journal of Forest Engineering 2026 Vol. 12 No. 1 P. 7–21
Machine learning in transport modeling has become a trend in science and industry. In this paper, we observe its main directions and focus on a dataset of seasonal road creation. Seasonality as a parameter in transport modeling has a significant impact on transport scenarios but is underestimated worldwide and in Russia, despite modern data challenges. ...
Added: June 24, 2026
Atlasov B., Selskiy A., Russian Journal of Information Technology in Sports 2025 Vol. 2 No. 1 P. 13–21
The article examines the current state of the global virtual and augmented reality (VR/AR) technology market in sports, noting its growth, although slower than previously expected. Special attention is paid to the Russian market, where the development of VR technologies in sports lags behind world leaders such as the United States, EU countries and China, ...
Added: June 23, 2026
[б.и.], 2026.
Added: June 23, 2026
Alibaba и Open Source. История и масштабы сотрудничества китайской корпорации и мира открытого кода.
Silakov D., Системный администратор 2026 № 4 С. 38–43
Alibaba Group – китайский гигант электронной коммерции – владелец маркетплейсов AliExpress, Taobao и Tmall, платежной системы AliPay, а также крупнейшего в КНР сервиса облачных вычислений – Alibaba Cloud. В последние годы внимание к компании приковано благодаря ее достижениям в области искусственного интеллекта – технологии Tongyi Qianwen и открытых моделей линейки Qwen, доступной всем желающим. Но ...
Added: June 23, 2026
Kosmarsky A., Напреенко И. В., Journal of Cultural Economy 2026 P. 1–4
Added: June 23, 2026
IEEE, 2026.
The 9th International Scientific Conference on Information, Control, and Communication Technologies (ICCT-2025) had been held October 7-11, 2025 in Gomel, Belarus. The main technical areas and applications covered by the proceedings are optoelectronics, acousto-optic, microwave technology, antenna systems, measuring technology, metamaterials, nanostructures, nanofilms, photonic crystals, biology and medicine, biophotonics, bioengineering, neural networks in communication technologies; ...
Added: June 23, 2026
Buzaev F., Mullakhmetov R., Bogachev R. et al., Association for Computational Linguistics, 2026.
Playlist generation based on textual queries using large language models (LLMs) is becoming an important interaction paradigm for music streaming platforms. User queries span a wide spectrum from highly personalized intent to essentially catalog-style requests. Existing systems typically rely on non-personalized retrieval/ranking or apply a fixed level of preference conditioning to every query, which can ...
Added: June 22, 2026
Herbert A., Cherednichenko O., Lybrand T. et al., International Journal of Molecular Sciences 2025 Vol. 26 No. 6 Article 2422
The double-stranded RNA editing enzyme ADAR1 connects two forms of genetic programming, one based on codons and the other on flipons. ADAR1 recodes codons in pre-mRNA by deaminating adenosine to form inosine, which is translated as guanosine. ADAR1 also plays essential roles in the immune defense against viruses and cancers by recognizing left-handed Z-DNA and ...
Added: June 22, 2026
Калужский печатный двор, 2026.
Conference Proceedings INTERNATIONAL CONFERENCE
“Mathematical Ideas of Academician
P.L. Chebyshev, Their Applications in Natural
Sciences and Artificial Intelligence Technologies”
dedicated to the 205th anniversary of his birth ...
Added: June 20, 2026
Stognieva O., Чеснокова Н. Е., Отечественная и зарубежная педагогика 2026 Т. 1 № 3 (115) С. 123–131
Integration of generative artificial intelligence tools into educational practice highlights the need for pedagogically grounded approaches to their use in the creation of educational video content, which is increasingly applied in language and professionally oriented instruction.
The purpose of this article is to conduct a comparative analysis of educational video content created using generative AI tools ...
Added: June 20, 2026
Cherednichenko O., Herbert A., Poptsova M., Computational and Structural Biotechnology Journal 2025 Vol. 27 P. 992–1000
Large language models (LLMs) in genomics have successfully predicted various functional genomic elements. While their performance is typically evaluated using genomic benchmark datasets, it remains unclear which LLM is best suited for specific downstream tasks, particularly for generating whole-genome annotations. Current LLMs in genomics fall into three main categories: transformer-based models, long convolution-based models, and state-space models ...
Added: June 19, 2026
Pruzhinin B. I., Afanasov N., Буданов В. Г. et al., Вопросы философии 2026 № 5 С. 5–35
In December 2025, the Institute of Philosophy of the Russian Academy of Sciences hosted an international roundtable on the topic “Social Programming as a Methodological Tool of Network Self-Organization: Problems and Trends”.
The roundtable was organized by the journal “Voprosy Filosofii” and representatives of the research project No. 25-28-00707, “Social Programming as a Problem of Network ...
Added: June 18, 2026
Romanova T. V., Бинштейн М. М., Медиалингвистика 2026 Т. 13 № 1 С. 28–50
В данной статье противопоставляется узкое и широкое понимание содержание термина ИИ, фиксируется история его появления. Функционирование термина ИИ рассматривается в сопоставительном аспекте по данным российских и китайских медийных источников: ...
Added: June 14, 2026