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The technology of processing information and recognizing gas mixtures using a multisensory system based on the use of neural networks
P. 1-5.
Kulagin V., Ivanov A. I., Kaperko A., Kuznetsov Y. M., Obolyaeva N., Chulkova G., Yurin A., Shustrov A.
We consider the technology of information processing and the use of neural networks to identify complex gas-air mixtures with a multi-sensor system of the “electronic nose” type equipped with semiconductor gas sensitive sensors. We also present the results of our experimental studies of the recognition of various gas mixtures based on the application of neural networks in the process of processing signals from a multi-sensor system of gas-sensitive sensors.
In book
M. : IEEE, 2018
M. : -, 2017
The issues of information support based on the use of artifical neural networks for the rapid recognition of odors using devices such as "elecronic nose" are considered. The variants the reducing the test sampl for an artifical neural network are proposed with the aim of increasing the stabilutyof computatijns and the speed of calculations. A ...
Added: October 25, 2017
Kulagin V., Kuznetsov Y. M., Chulkova G. et al., В кн. : Сборник докладов Всероссийской конференции «Радиоэлектронные средства получения, обработки и визуализации информации» (РСПОВИ-2016). : М. : РНТОРЭС им. А.С.Попова, 2016. С. 204-209.
In the development of algorithms for digital processing of information for detecting substances and gas mixtures according to their smell, obtained with the "electronic nose", it is proposed to use a quickly trained neural networks for signal processing. We demonstrate that classical quadratic forms are not able to solve the problem of recognizing high- dimensional ...
Added: October 26, 2016
Kulagin V., Kuznetsov Y. M., Chulkova G. et al., Датчики и системы 2016 № 11 С. 39-48
The article presents the technology and different variants of manufacturing of chemical sensors, made on the basis of metal oxide semiconductors for use in the type of "electronic nose" devices. The prospects of using neural networks to detect gas mixtures. ...
Added: January 17, 2017
Ivanov A. I., Kaperko A., Kuznetsov Y. M. et al., , in : 11th IEEE International Conference on Application of Information and Communication Technologies (AICT). * Session 2 Data Mining and Data Engineering. Vol. 1: 11th IEEE International Conference on Application of Information and Communication Technologies Conference Proceedings.: M. : -, 2017. Ch. 2. P. 210-212.
The issues of information support based on the use of artifical neural networks for the rapid recognition of odors using devices such as "elecronic nose" are considered. The variants the reducing the test sampl for an artifical neural network are proposed with the aim of increasing the stabilutyof computatijns and the speed of calculations. A ...
Added: October 25, 2017
Fedorova E., Осетров Р. А., Демин И. С. et al., Российский журнал менеджмента 2017 Т. 15 № 4 С. 441-462
The paper is devoted to the analysis of CEO letters as an instrument for influencing the expectations of shareholders and potential investors. The aim of the research is to analyze empirically the influence of semantic characteristics of CEO letters on financial indicators of the company. The authors suggested that CEO letter’s tonality, its length and ...
Added: October 23, 2018
Alexander Shabalin, Sadrtdinov I., Evgeniy Shabalin, , in : ML Reprobucibility Challenge 2022. : [б.и.], 2023.
Scope of Reproducibility
In this work, we attempt to reproduce the results of the NeurIPS 2022 paper "Towards Understanding Grokking: An Effective Theory of Representation Learning". This study shows that the training process can happen in four regimes: memorization, grokking, comprehension and confusion. We first try to reproduce the results on the toy example described in ...
Added: November 2, 2023
Avdoshin S. M., Elena Yu. Pesotskaya, Business Informatics 2022 Vol. 16 No. 2 P. 62-73
Added: June 23, 2022
Springer, 2018
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.
The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; ...
Added: October 30, 2018
Kirsanova E., Юрист 2018 № 11 С. 19-24
The article analyzes the legal status of information. The main interpretations of this term are discussed. The attempt is made to figure out problems of regulation of self-learning programs and to offer a classification of existing approaches to determination of their legal status. ...
Added: September 13, 2022
Clemens Puppe, Burka D., Szepesváry L. et al., / Impressum. Series ISSN 2190-9806 "KIT Working paper in Economics". 2020. No. 145.
Voting rules can be assessed from quite different perspectives: the axiomatic, the pragmatic, in terms of computational or conceptual simplicity, susceptibility to manipulation, and many others aspects. In this paper, we take the machine learning perspective and ask how ‘well’ a few prominent voting rules can be learned by a neural network. To address this ...
Added: October 31, 2021
Teplova T., Sokolova T., Tomtosov A. et al., Журнал Новой экономической ассоциации 2022 Т. 1 № 53 С. 53-84
Abstract. In our paper, for the first time, we examine the influence of the sentiment of private investors in social networks on the trade characteristics of stocks in the Russian market. Monthly return rates and trading volumes are analyzed under the control of financial indicators and indicators of the quality of corporate governance of stock ...
Added: April 5, 2022
Lyutkin D., Romanov A., Nasonov D., , in : 2023 International Russian Smart Industry Conference (SmartIndustryCon). : Sochi : IEEE, 2023. P. 454-459.
The use of mathematical algorithms for disease identification has gained traction in recent years and has paved the way for the creation of novel tools that can swiftly and accurately detect pathologies. In particular, modern machine learning techniques have garnered significant attention in this domain and are currently among the most widely used algorithms. Despite ...
Added: July 30, 2023
Novikov A., Podoprikhin D., Osokin A. et al., , in : Advances in Neural Information Processing Systems 28 (NIPS 2015). : NY : Curran Associates, 2015.
Deep neural networks currently demonstrate state-of-the-art performance in several domains.At the same time, models of this class are very demanding in terms of computational resources. In particular, a large amount of memory is required by commonly used fully-connected layers, making it hard to use the models on low-end devices and stopping the further increase of ...
Added: June 9, 2016
Springer, 2021
This book constitutes the proceedings of the 19th Russian Conference on Artificial Intelligence, RCAI 2021, held in Moscow, Russia, in October 2021.
The 19 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The conference deals with a wide range of topics, categorized into the following topical ...
Added: October 28, 2021
Arutyunov G.A., Avdoshin S. M., Proceedings of the Institute for System Programming of the RAS 2022 Vol. 34 No. 4 P. 79-88
IT industry has been thriving over the past decades. Numerous new programming languages have emerged, new architectural patterns and software development techniques. Tools involved in the process ought to evolve as well. One of the key principles of new generation of instruments for software development would be the ability of the tools to learn using ...
Added: December 26, 2022
Kascheev N. I., Kozyrev O., Leykin M. et al., , in : Proceedings of XV IEEE East-West Design & Test Symposium (EWDTS'2017). : Piscataway : IEEE, 2017. P. 1-4.
The secular outcome of our investigation is development of new monitoring service for glucose control related to diabetes. It is based on the main results of research: 1) New innovative wearable sensor that carry non-invasive measurement of glucose level. Sensor uses several independent technologies, simultaneously: radio-frequency with different levels of signal, ultrasonic, electromagnetic and thermal; ...
Added: February 20, 2018
Pushkarev E., Вестник Южно-Уральского государственного университета. Серия: Лингвистика 2015 Т. 12 № 4 С. 56-60
The paper theorizes on the general architectonics of idealized cognitive models (ICMs) and their involvement in metonymy and metaphor. The article posits that an ICM's structure should reflect the architecture of the neural network/s engaged in processing of a given concept. The ICM nodes, or cogs, construct a complex, hierarchically organized neural connections, with the ...
Added: December 8, 2015
Arkhipova M., Экономика региона 2022 Т. 18 № 2 С. 581-594
The article examines new methodologies for modelling crop yield in agricultural regions of Russia based on the use of remote capabilities to get information on the field state. The proposed approach can be applied to develop indicator systems and create methodological platforms and models necessary to obtain more accurate estimates. In comparison with the traditional ...
Added: January 12, 2023
Semenenko M. G., Kniazeva I. V., Beckel L. S. et al., , in : IOP Conference Series: Materials Science and Engineering, Volume 537, Issue 3. Vol. 537. Issue 3.: Institute of Physics Publishing (IOP), 2019.
Added: October 20, 2021
Malafeev A., Nikolaev K., , in : Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information Science. Vol. 1086.: Springer, 2020. P. 154-159.
In this paper, a deep learning method study is conducted to solve a new multiclass text classification problem, identifying user interests by text messages. We used an original dataset of almost 90 thousand forum text messages, labeled for ten interests. We experimented with different modern neural network architectures: recurrent and convolutional, as well as simpler ...
Added: November 7, 2019
Cham : Springer, 2023
This book constitutes the refereed proceedings of the 12th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2023, held as part of Evo* 2023, in April 2023, co-located with the Evo* 2023 events, EvoCOP, EvoApplications, and EuroGP.
The 20 full papers and 7 short papers presented in this book were carefully reviewed ...
Added: April 4, 2023
Nazarova V., Ульзутуева Б. Д., Управление финансовыми рисками 2016 № 1 (45) С. 42-57
The first part of the issue gives general information about foreign exchange market (FOREX), review of forecasting foreign exchange rate is given. In addition we will consider the new model of nonlinear analysis to give a broader theoretical basis to the research - an artificial neural network (ANN).The nonlinear analysis and the ANN is still ...
Added: February 13, 2017
PMLR, 2022
Added: July 27, 2022