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Subject
News
September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.
September 17, 2026
'I Wish That People Would Place Greater Trust in Science'
When Tatiana Eremicheva chose Fundamental and Computational Linguistics as her field of study, she thought it would be about learning languages. Instead, she discovered it was about helping people. In this interview for the HSE Young Scientists project, she discusses science as a way of understanding the world, billiards as a team-building activity, and why learning to read is not always as easy as it seems.
September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?

 

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2023 International Ural Conference on Electrical Power Engineering (UralCon)

Мгн. : IEEE, 2023.
Chapters
USB 3.0 Based Heterogeneous Data High-Speed Transfer Subsystem
Popov M., Shishova M., Romanov A., , in: 2023 International Ural Conference on Electrical Power Engineering (UralCon).: Magnitogorsk: IEEE, 2023. P. 200–204.
Development of a high-speed data transfer subsystem to connect a computer and an external equipment is very relevant for a wide variety of areas - industry, medicine, scientific research and many others. At first glance, modern high-speed interfaces provide all the possibilities to complete the task. In practice, developers face a number of difficulties that ...
Added: June 14, 2024
Research target: Engineering and Technology Electronics and Electrical Engineering Computer Science
Language: English
DOI
Keywords: FPGAElectrical Power Engineering
2023 International Ural Conference on Electrical Power Engineering (UralCon)
Similar publications
Lecture Notes in Artificial Intelligence
Springer, 2026.
Two volumes of the SPECOM 2026 proceedings contain a collection of submitted papers presented at SPECOM 2026, which were thoroughly reviewed by members of the Program Committee and additional reviewers consisting of almost 80 experts in the conference topic areas. In total, 65 regular full papers out of 99 submissions made via the EasyChair electronic ...
Added: September 20, 2026
Improving the Accuracy of Automatic Wildlife Detection in Nature Reserves Using Infrared Imaging
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 323–334
In this paper, an improved approach for automatic wildlife detection in natural environments based on the integration of a neural network architecture with a two-stream attention mechanism and a novel preclassification step based on infrared data has been presented. The proposed method addresses one of the key challenges in environmental monitoring: the need for scalable ...
Added: September 19, 2026
IDAP++: Advancing Divergence-Aware Pruning with Joint Filter and Layer Optimization
Aleksei Samarin, Nazarenko A., Kotenko E. et al., Proceedings of the ACM on Management of Data, USA 2026 Vol. 4 No. 1 P. 1–28
Modern knowledge and large volumes of data are increasingly encoded within neural networks, making the task of simplifying their structures and reducing the number of parameters especially relevant, both to improve efficiency and to facilitate deployment in resource-constrained environments. This paper presents a novel approach to neural network compression that addresses redundancy at both the ...
Added: September 19, 2026
Automated Feature Engineering-Based Approach for Micrococci Microscopic Image Classification and Taxonomic Characteristics Determination
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2025 Vol. 35 No. 2 P. 148–158
This paper describes our research on creating classifiers for microbial images (micrococci microscopy images) obtained from pictures of unfixed microscopic scenes. In our work, we propose an AutoML approach based on the automatic generation and analysis of the feature space for constructing the most optimal descriptors of microorganism images for subsequent classification. This makes it ...
Added: September 19, 2026
Improvement in Microbial Classification Quality Using Synthetic Microscopic Images Generated by Large Visual-Language Models
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 302–312
The lack of annotated microscopic datasets remains a major obstacle to training robust deep learning models for microbial classification. In this paper, a novel data augmentation pipeline that uses visual–linguistic large-scale models to generate synthetic microscopic images of six different bacterial and nonbacterial classes has been proposed. Synthetic samples have gradually been added to the ...
Added: September 19, 2026
Advances in Neural Computation, Machine Learning, and Cognitive Research IX
Springer, Cham, 2026.
computer vision ...
Added: September 19, 2026
Proceedings of 18th International Conference on Machine Learning and Computing
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Added: September 19, 2026
Proceedings of the 35th Conference of Open Innovations Association FRUCT
FRUCT Oy, 2024.
Added: September 19, 2026
Биометрическая идентификация и защита биометрических данных. Практикум: учебное пособие
Starodubov K., Елистратов А. А., Громов Ю. Ю. et al., ИД Академии Жуковского, 2026.
The textbook is intended for preparing and completing practical assignments on biometric identification and the protection of biometric data. The theoretical part briefly presents the information required for the practical work: basic concepts and quality metrics, voice and facial modalities, regulatory framework and the Unified Biometric System, the mathematical foundations of template protection, and the ...
Added: September 19, 2026
Proceedings of the 36th Conference of Open Innovations Association FRUCT
FRUCT Oy, 2024.
Added: September 19, 2026
Proceedings of the 37th Conference of Open Innovations Association FRUCT
FRUCT Oy, 2025.
Added: September 19, 2026
Proceedings of the 39th Conference of Open Innovations Association FRUCT
FRUCT Oy, 2026.
Added: September 19, 2026
Flow-Guided Neural Pruning: Signal-Flow Framework for Multi-Architecture Model Compression
Aleksei Samarin, Nazarenko A., Kotenko E. et al., Machine Learning and Knowledge Extraction 2026 Vol. 8 No. 8 P. 1–26
This paper presents a novel method for pruning deep neural networks based on the concept of flow, derived from the continuous modeling of signal propagation across layers. We derive flow functions for fully connected, convolutional, and self-attention architectures, and we propose a new iterative pruning algorithm, Iterative Flow-Aware Pruning (IFAP), that leverages these measures to ...
Added: September 19, 2026
Dynamic Pattern Analysis: Method Overview and Trajectory Assessment of Object Development
Myachin A. L., Procedia Computer Science 2026 Vol. 287 P. 193–200
We extend the static pattern analysis method to the temporal dimension by introducing a six-type trajectory taxonomy that classifies objects according to the frequency and structure of pattern switches over an observation window of T > 8 periods. For each object, a reference pattern is designated as the most frequently occupied group over the observation ...
Added: September 18, 2026
Динамика систем, механизмов и машин
Издательство ОмГТУ, 2025.
. ...
Added: September 18, 2026
On the Efficiency of Bounded Multi-Source Shortest Path Algorithm
Громов Р. С., Нестеров Р.А., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4 P. 23–44
This paper explores the performance criteria of the newest algorithm for solving the problem of finding shortest paths on a graph from a given vertex – Bounded Multi-Source Shortest Path Algorithm (BM-SSP). The algorithm was published in 2025 and, as its creators claim, it is asymptotically superior to Dijkstra’s deterministic algorithm. However, in the publication devoted ...
Added: September 18, 2026
Моделирование биполярно-полевого технологического процесса с полной диэлектрической изоляцией
Дюканов П. А., Kozhukhov M., Popov D. et al., Электронная техника. Серия 3: Микроэлектроника 2026 Т. 201 № 1 С. 28–34
The paper presents the results of device and process modeling of bipolar transistors on a silicon - silicon oxide - silicon structure. A comparison of the output characteristics of the models and transistor samples showed the high accuracy of the developed model. To improve the performance of eld-e ect transistors with a control p-n-junction, design ...
Added: September 17, 2026
Робототехника и искусственный интеллект: международные практики и возможности для России, Дальнего Востока и Арктики
Кузнецов М. Е., Полякова М., Лукьянович В. et al., ФАНУ "Востокгосплан", 2026.
Обзор международных практик развития робототехники и искусственного интеллекта и оценка возможностей их применения в условиях России, в первую очередь для Дальнего Востока и Арктической зоны РФ ...
Added: September 16, 2026
Semi-fragile image watermarking: A comprehensive survey, classification, and research directions
Melman A., Evsyutin O., Computer Science Review 2027 Vol. 63 (A) Article 101066
One of the effective means of protecting digital images is invisible watermarking. Different scenarios have different requirements for watermark resistance to post-processing. Robust watermarking schemes are resistant to a wide range of modifications. Fragile watermarking schemes are designed for integrity control and are destroyed by even minor modifications of images. Semi-fragile watermarking schemes combine features ...
Added: September 15, 2026
Hardware-Software Complex for Network-on-Chip Prototyping Using Multiple FPGAs
Mikhail Y. Romashikhin, Aleksandr Y. Romanov, IEEE Access 2026 Vol. 14 P. 7921–7931
This paper presents a hardware-software multi-FPGA complex designed for hardware prototyping of networks-on-chip (NoCs). The rationale for the use of multiple FPGAs for NoC prototyping is given. The architecture of the complex and its components–the software part generating top-level files and configuration files describing the NoC for several FPGAs, hardware part consisting of interfacing switches ...
Added: January 22, 2026
Photon-Counting Optical Time Domain Reflectometer Using Superconducting Nanowire Single Photon Detector Based on Time to Digital Converter
Mazen Makhlouf, Elezov M., Ozhegov R. et al., , in: Proceedings of the 2025 7th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE).: United States of America: IEEE, 2025. P. 1–5.
High-resolution photon-counting optical time-domain reflectometry (PC-OTDR) is crucial for the development of fiber-optic sensing and network diagnostics, allowing accurate fault location and long-haul performance optimization. A major step forward for OTDR is reported by combining a superconducting nanowire single-photon detector (SNSPD) with a low-cost FPGA-based time-to-digital converter (TDC) to perform high-resolution measurements over 150 km ...
Added: January 12, 2026
Проектирование FPGA в Quartus
Romanova I., Amerikanov A., Romanov A., М.: ДМК Пресс, 2025.
Программируемые логические интегральные схемы (ПЛИС, FPGA) составляют основу современных цифровых систем и широко используются на всех этапах их внедрения – начиная от проведения экспериментальных исследований до разработки и создания конкретного оборудования. ПЛИС широко применяются в системах обработки аудио- и видеосигналов, системах обработки сетевого трафика, ускорителях вычислений и т. д. Поэтому подготовка специалистов, которые могут эффективно применять ПЛИС во всех ...
Added: January 8, 2026
Digital Filtering Algorithms for Signal Processing in NoCs
M. Y. Romashikhin, , in: 2025 International Russian Automation Conference (RusAutoCon).: IEEE, 2025. P. 225–230.
This paper discusses the application of networks-on-chip (NoCs) for solving DSP problems. NoC is a promising architecture for organizing multicore DSP systems due to scalability and parallel data transfer between IP-cores. Filtering was chosen as a task for signal processing in this work. A technique for partitioning the filtering task into multiple network nodes. An ...
Added: October 2, 2025
Method of the Simultaneous Multi-axis Motor Control for Actuator’s Positioning
Popov M., Romanov A., Lecture Notes in Networks and Systems 2024 Vol. 1013 P. 341–350
The article considers a combined hard and software method for generation of a high-determined control sequence of pulses for stepper and servo motors to perform multi-axis actuator’s positioning which is typical for CNC equipment. Simulation in MATLAB/Simulink IDE is performed to predict possible distortion of control sequence in a case of pulse generation for two ...
Added: August 18, 2024
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