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CAD Architecture for Expansion of WSL-Based Combinational Circuits Dataset
Ch. 50. P. 294–298.
The paper provides an overview of the current state of research in the field of combinational circuits reliability and parameters. Architecture of OpenLane flow, its components and main stages of work are described. Based on this flow, the main parameters are provided that will be used for augmentation and expansion of combinational circuits dataset and further testing. Previously developed software was elaborated to use OpenLane as its part. That is, now WSL (Ubuntu) can be used to launch OpenLane workflow from a Windows program without copying data from/to Linux system; subsequent parsing of the results to highlight the necessary parameters is implemented; parameters are saved to combinational circuits dataset. The modified software was tested for circuit generation and parameters calculation.
Publication based on the results of:
In book
Sochi: IEEE, 2024.
Lazarev M., Derkach D., Ratnikov F., Scientific data 2026 Vol. 13 Article 1003
In this study, we present a comprehensive set of experimental data aimed at uncovering the mechanisms and regularities governing the deformation behavior of composites reinforced with continuous carbon fibers (CF) based on thermoplastic polymers. This work describes data extraction techniques that can later be used to optimize the mechanical properties of such structures using neural ...
Added: April 23, 2026
Krasnov L., Malikov D., Kiseleva M. et al., Journal of Medicinal Chemistry 2026 Vol. 69 No. 8 P. 8838–8851
In this work, we developed a straightforward data-driven approach to predict the cytotoxicity of metal complexes based entirely on their (metal + ligands) composition. To this end, we have manually curated MetalCytoToxDB─a comprehensive experimental database comprising 26,500 IC50 values for 7050 metal complexes against 754 cell lines from 1921 articles. Based on these, machine learning ...
Added: April 23, 2026
Bernadotte A, Elfimov N., Menshikov I., Scientific data 2025 Vol. 13 No. 41
Accurate segmentation of brain vessels in magnetic resonance angiography (MRA) is essential for surgical procedures. Neural networks are powerful tools for medical image segmentation, but their development requires well-annotated datasets. However, publicly available MRA datasets with detailed vessel annotations are scarce. We present a dataset of 100 manually annotated brain MRA images from the IXI ...
Added: February 25, 2026
Golyadkin M., Plevokas I., Makarov I., , in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).: United States of America: IEEE, 2025. P. 5580–5590.
This paper addresses the challenge of artwork colorization by proposing a benchmark for manga colorization using real black-and-white and colorized image pairs. Color images are widely recognized for their ability to capture attention and improve memory retention, yet the manual process of colorization is labor-intensive. Deep learning methods for supervised image-to-image translation offer a promising ...
Added: April 29, 2025
Svetlana Kovalenko, Mamonov A., Kuznetsov V. et al., Sensors 2023 Vol. 23 No. 13 Article 6197
Abstract
Detection of fatigue is extremely important in the development of different kinds of preventive systems (such as driver monitoring or operator monitoring for accident prevention). The presence of fatigue for this task should be determined with physiological and objective behavioral indicators. To develop an effective model of fatigue detection, it is important to record a ...
Added: January 27, 2025
Kseniia Prokudina, Mikhail Skriplyonok, Alexander Vostrikov, , in: 2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 20-24 May 2024.: IEEE, 2024. P. 865–869.
Added: November 26, 2024
A.A. Ziazetdinov, V.V. Zunin, I.I. Romanova, , in: 2024 International Russian Automation Conference (RusAutoCon).: IEEE, 2024. P. 937–942.
Added: September 19, 2024
D.A. Miachin, V.P. Pugach, S.S. Avdeiuk et al., Proceedings of the Institute for System Programming of the RAS 2023 Vol. 35 No. 5 P. 81–90
This paper presents an open-source software for generation, storage, and analysis of combinational circuits. The previously created methods for generating combinational circuits have been optimized, and a dataset has been formed. The generation of combinational circuits is carried out on various devices. The application implements the possibility to combine the generated datasets into a single storage (Synology Drive), ...
Added: March 3, 2024
Natalia Antonova, Ksenia Eritsyan, Usacheva N. et al., Frontiers in Psychology 2023 Vol. 14 Article 1286036
The present dataset offers secondary analytic opportunities to explore changes in the rates of the COVID-19 recommended protective behavior. COVID-19 related beliefs and mental health symptoms as well as range of COVID-related personal experiences from the beginning of the first wave to the second wave of the COVID-19 pandemic.
Data was collected during two waves of ...
Added: November 28, 2023
Vlasov A., Annual Review of CyberTherapy and Telemedicine 2023 Vol. 21 P. 200–205
Objectives: (a) to develop a library with AI generated content (AIGC) based on а combinatorial scheme of prompting for interaction and perception research; (b) to show examples of AIGC implementation. The result is a public library for applied research in the cyber-psychological community (CYPSY). The Generative Art Library Abstractions (GALA) include images (Figures 1-2) based on the text-image model ...
Added: August 30, 2023
Stepanyants V., Mantsa Andzhusheva, Romanov A., , in: 2023 International Russian Smart Industry Conference (SmartIndustryCon), 27-31 March 2023.: Sochi: IEEE, 2023. P. 621–626.
Many traffic accidents happen on the roads every day and a lot of them are captured on traffic or dashboard cameras. This data could be used to train machine learning models to predict dangerous situations so that they can be prevented. For that, it should be organized into datasets. Nowadays a limited amount of traffic ...
Added: July 30, 2023
Egor Ershov, Savchik A., Illya Semenkov et al., IEEE Access 2020 Vol. 8 P. 227511–227527
Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras. One of the important parts of the computational color constancy is illumination estimation, i.e. estimating the illumination color. When an ...
Added: December 19, 2022
V. V. Zunin, A. Y. Romanov, Solovyev R., , in: 2022 International Russian Automation Conference (RusAutoCon).: IEEE, 2022. P. 842–846.
This article provides an overview of the current state of research in the field of reliability of combinational circuits. The developed methods for combinational circuits generation and their subsequent implementation in the form of software are described. The implemented algorithms were used to generate combinational circuits in the structured Verilog format; the circuits generated were ...
Added: October 2, 2022
Smetanin S., PeerJ Computer Science 2022 No. 8 Article e1039
The Russian language is still not as well resourced as English, especially in the field of sentiment analysis of Twitter content. Though several sentiment analysis datasets of tweets in Russia exist, they all are either automatically annotated or manually annotated by one annotator. Thus, there is no inter-annotator agreement, or annotation may be focused on ...
Added: June 29, 2022
Kascheev N. I., Ponomarev D. M., Подъяблонский Ф. М., Вестник Нижегородского университета им. Н.И. Лобачевского 2011 № 3-2 С. 72–77
This paper considers the development of digital circuit tests using continuous models of discrete devices. An algorithm is presented which makes it possible to solve the problem of finding test sets using continuous optimization. A generalized fault model is proposed which implements a unified approach to the representation of different types of faults in test ...
Added: November 22, 2012