• 50 Citations
  • 4 h-Index
20122019
If you made any changes in Pure these will be visible here soon.

Research Output 2012 2019

2019
1 Citation (Scopus)

Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals

Sergeev, A. P., Buevich, A. G., Baglaeva, E. M. & Shichkin, A. V., 1 Mar 2019, In : Catena. 174, p. 425-435 11 p.

Research output: Contribution to journalArticleResearchpeer-review

artificial neural network
autocorrelation
heavy metal
prediction
soil

Method of selecting spatially distributed information for constructing training set of artificial neural networks

Sydikhov, A., Buevich, A., Sergeev, A., Shichkin, A., Subbotina, I. & Baglaeva, E., 24 Jul 2019, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E., Tsitouras, C. & Simos, T. E. (eds.). American Institute of Physics Inc., 200020. (AIP Conference Proceedings; vol. 2116).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
artificial neural network
neural networks
soils
spatial distribution
education

Particulate matter size distribution in air surface layer of Middle Ural and Arctic territories

Baglaeva, E. M., Sergeev, A. P., Buevich, A. G., Subbotina, I. E. & Shichkin, A. V., 1 Jul 2019, In : Atmospheric Pollution Research. 10, 4, p. 1220-1226 7 p.

Research output: Contribution to journalArticleResearchpeer-review

Particle size analysis
particulate matter
surface layer
particle size
air

Partition Procedure of the Initial Data for the Models Based on Artificial Neural Networks

Rakhmatova, A., Sergeev, A., Buevich, A., Shichkin, A. & Sergeeva, M., 1 Apr 2019, Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019. Institute of Electrical and Electronics Engineers Inc., p. 241-243 3 p. 8736648. (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

partitions
chromium
Chromium
soils
Neural networks

Ternary information in psychophysical research. Receiving and primary processing

Sergeev, A., Buevich, A., Arapov, S. & Rakhmatova, A., 24 Jul 2019, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E., Tsitouras, C. & Simos, T. E. (eds.). American Institute of Physics Inc., 200018. (AIP Conference Proceedings; vol. 2116).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
signal detection
probability density functions
probability density function
psychophysics
line differences

Training algorithms for artificial neural networks for time series forecasting of greenhouse gas concentrations

Shichkin, A., Buevich, A., Sergeev, A., Medvedev, A., Kosachenko, A., Moskaleva, A. & Sergeeva, M., 24 Jul 2019, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E., Tsitouras, C. & Simos, T. E. (eds.). American Institute of Physics Inc., 200019. (AIP Conference Proceedings; vol. 2116).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
greenhouses
greenhouse gases
forecasting
artificial neural network
neural networks
2018

Analysis of time series of greenhouse gas concentrations in the Russian Arctic using the artificial neural networks

Shichkin, A., Buevich, A., Sergeev, A., Antonov, K. & Sergeeva, M., 30 Nov 2018, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Simos, T. E., Kalogiratou, Z., Monovasilis, T., Simos, T. E. & Simos, T. E. (eds.). American Institute of Physics Inc., Vol. 2040. 050009

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

greenhouses
forecasting
gases
self organizing systems
Russian Federation

Artificial neural networks selection for soil chemical elements distribution prediction

Tarasov, D., Vasilev, J., Sergeev, A. & Mokrushin, A., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. Tsitouras, C., Simos, T., Simos, T., Simos, T., Simos, T. & Simos, T. (eds.). American Institute of Physics Inc., Vol. 1978. 440025

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

chemical elements
soils
predictions
spatial distribution

Chromium distribution forecasting in subarctic noyabrsk using cokriging, generalized regression neural network, multilayer perceptron, and hybrid technique

Buevich, A. G., Sergeev, A. P., Shichkin, A. V., Kosachenko, A. I. & Moskaleva, A. S., 1 Jan 2018, In : CEUR Workshop Proceedings. 2076, p. 39-48 10 p.

Research output: Contribution to journalConference articleResearchpeer-review

Multilayer neural networks
Chromium
Neural networks
Contamination
Learning systems

Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution

Shichkin, A. V., Buevich, A. G. & Sergeev, A. P., 27 Jul 2018, Mathematical Methods and Computational Techniques in Science and Engineering II. American Institute of Physics Inc., Vol. 1982. 020005

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

self organizing systems
forecasting
impurities
chromium
soils

Comparison of different models for the chromium distribution forecasting in topsoil in subarctic Novy Urengoy city

Sergeev, A., Shichkin, A., Tarasov, D., Sydikhov, A., Sergeeva, M. & Atanasova, T., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440005

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

forecasting
chromium
self organizing systems
regression analysis
soil pollution

EARLY MOTOR REPERTOIRE ASSESSMENT AND FEATURES OF BEHAVIOR IN INFANTS AT-RISK (THE RESULTS OF PILOT COMMUNICATION)

Lvova, O., Palchik, A., Suleymanova, E., Bakushkina, N., Lavrova, M., Tuktareva, I. & Sergeev, A., Dec 2018, In : Psychophysiology. 55, p. S124-S124 1 p.

Research output: Contribution to journalMeeting AbstractResearchpeer-review

Forecasting of spatial variable by the models based on artificial neural networks on an example of heavy metal content in topsoil

Shichkin, A., Buevich, A., Sergeev, A., Baglaeva, E. & Subbotina, I., 30 Nov 2018, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Simos, T. E., Kalogiratou, Z., Monovasilis, T., Simos, T. E. & Simos, T. E. (eds.). American Institute of Physics Inc., Vol. 2040. 050007

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

heavy metals
forecasting
kriging
spatial distribution
chemical elements

Heavy Metal Contamination Assessment in Near Surface Soils: A Case Study from Subarctic Region of Russia

Masih, A. & Sergeev, A. P., 23 Jul 2018, In : IOP Conference Series: Earth and Environmental Science. 167, 1, 012023.

Research output: Contribution to journalConference articleResearchpeer-review

subarctic region
soil surface
heavy metal
soil
chemical analysis
14 Citations (Scopus)
kriging
artificial neural network
topsoil
Multilayer neural networks
Pollution
4 Citations (Scopus)

Method for reconstructing the initial baseline relationship between potentially harmful element and conservative element concentrations in urban puddle sediment

Seleznev, A. A., Yarmoshenko, I. V. & Sergeev, A. P., 15 Sep 2018, In : Geoderma. 326, p. 1-8 8 p.

Research output: Contribution to journalArticleResearchpeer-review

pollution
sediments
sediment
sampling
Russia

Multilayer perceptron, generalized regression neural network, and hybrid model in predicting the spatial distribution of impurity in the topsoil of urbanized area

Subbotina, I. E., Buevich, A. G., Shichkin, A. V., Sergeev, A. P., Tarasov, D. A., Tyagunov, A. G., Sergeeva, M. V. & Baglaeva, E. M., 27 Jul 2018, Mathematical Methods and Computational Techniques in Science and Engineering II. American Institute of Physics Inc., Vol. 1982. 020004

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

self organizing systems
regression analysis
chromium
spatial distribution
kriging

On the hybrid models of soil contaminants concentrations predicting in subarctic region

Sergeev, A., Buevich, A., Medvedev, A., Spasov, K., Kosachenko, A. & Moskaleva, A., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440006

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

subarctic regions
kriging
contaminants
soils
self organizing systems

Prediction of The Outcomes in Pediatric Ischemic Stroke: Multilayer Perceptron Vs Random Forest Learning Methods

Rakhmatova, A., Lvova, O. & Sergeev, A., 2018, In : Journal of head trauma rehabilitation. 33, 3, p. E89-E89 1 p.

Research output: Contribution to journalMeeting AbstractResearchpeer-review

1 Citation (Scopus)

Psychophysical model of the signal detection theory with nine events. Basic provisions

Sergeev, A., Vezhleva, D., Sydikhov, A., Arapov, S. & Lvova, O., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440007

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

signal detection
stimuli
psychophysics
regularity
constrictions

Recognition of chromium distribution features in different urban soils by multilayer perceptron

Baglaeva, E., Buevich, A., Sergeev, A., Shichkin, A. & Subbotina, I., 30 Nov 2018, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Simos, T. E., Kalogiratou, Z., Monovasilis, T., Simos, T. E. & Simos, T. E. (eds.). American Institute of Physics Inc., Vol. 2040. 050008

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

self organizing systems
chromium
soils
subgroups
spatial distribution

Statistical analysis of the spatial distribution of impurities in the snow cover in the vicinity of copper mine in the Middle Ural of Russia

Subbotina, I., Buevich, A., Medvedev, A., Sergeev, A., Sergeeva, M., Kazakova, H., Kosachenko, A. & Moskaleva, A., 10 Dec 2018, Proceedings of the 44th International Conference on Applications of Mathematics in Engineering and Economics, AMEE 2018. Venkov, G., Popivanov, N. & Pasheva, V. (eds.). American Institute of Physics Inc., Vol. 2048. 060012

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

snow cover
Russian Federation
statistical analysis
spatial distribution
cluster analysis

Time series forecasting of methane concentrations in the surface layer of atmospheric air in Arctic region

Sergeev, A., Shichkin, A. & Buevich, A., 10 Dec 2018, Proceedings of the 44th International Conference on Applications of Mathematics in Engineering and Economics, AMEE 2018. Venkov, G., Popivanov, N. & Pasheva, V. (eds.). American Institute of Physics Inc., Vol. 2048. 060005

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Arctic regions
forecasting
surface layers
methane
air

Training algorithms for artificial neural network in predicting of the content of chemical elements in the upper soil layer

Shichkin, A., Buevich, A., Sergeev, A., Baglaeva, E., Subbotina, I., Vasilev, J. & Kehayova-Stoycheva, M., 10 Dec 2018, Proceedings of the 44th International Conference on Applications of Mathematics in Engineering and Economics, AMEE 2018. Venkov, G., Popivanov, N. & Pasheva, V. (eds.). American Institute of Physics Inc., Vol. 2048. 060004

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

chemical elements
soils
education
self organizing systems
descent
2017
1 Citation (Scopus)

A hybrid method for assessment of soil pollutants spatial distribution

Tarasov, D. A., Medvedev, A. N., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., 21 Jul 2017, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016. American Institute of Physics Inc., Vol. 1863. 050015

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

kriging
contaminants
soils
spatial distribution
subarctic regions

High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging

Sergeev, A. P., Tarasov, D. A., Buevich, A. G., Subbotina, I. E., Shichkin, A. V., Sergeeva, M. V. & Lvova, O. A., 5 Jun 2017, Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836. 020023

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

kriging
contaminants
predictions
regression analysis
self organizing systems
1 Citation (Scopus)

Modeling of surface dust concentration in snow cover at industrial area using neural networks and kriging

Sergeev, A. P., Tarasov, D. A., Buevich, A. G., Shichkin, A. V., Tyagunov, A. G. & Medvedev, A. N., 5 Jun 2017, Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836. 020033

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

industrial areas
kriging
snow cover
dust
root-mean-square errors

MODIFICATION OF THE PSYCHOPHYSICAL MODEL OF THE SIGNAL DETECTION THEORY FOR SOLVING SENSORY TASKS WITH SIGN-ALTERNATING DIFFERENTIAL STIMULI

Sergeev, A., Tarasov, D., Arapov, S., Korolkova, D., Sergeeva, M., Kiselev, S. & Lvova, O., Dec 2017, In : Psychophysiology. 54, p. S104-S104 1 p.

Research output: Contribution to journalMeeting AbstractResearchpeer-review

3 Citations (Scopus)

Review and possible development direction of the methods for modeling of soil pollutants spatial distribution

Tarasov, D. A., Medvedev, A. N., Sergeev, A. P. & Buevich, A. G., 21 Jul 2017, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016. American Institute of Physics Inc., Vol. 1863. 050014

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

forecasting
contaminants
soils
spatial distribution
soil pollution

The role of the procoagulant and prothrombotic genes in predicting of disability after arterial ischemic stroke in children

Lvova, O., Sergeev, A., Gusev, V. & Dron, A., 2017, In : Cerebrovascular Diseases. 43, 1 p.

Research output: Contribution to journalMeeting AbstractResearchpeer-review

Topsoil pollution forecasting using artificial neural networks on the example of the abnormally distributed heavy metal at Russian subarctic

Tarasov, D. A., Buevich, A. G., Sergeev, A. P., Shichkin, A. V. & Baglaeva, E. M., 5 Jun 2017, Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836. 020024

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

heavy metals
pollution
forecasting
kriging
contaminants

ИСКУССТВЕННЫЕ НЕЙРОННЫЕ СЕТИ КАК МЕТОД ИНТЕРПОЛЯЦИИ ДЛЯ ОЦЕНКИ СОДЕРЖАНИЯ ХИМИЧЕСКИХ ЭЛЕМЕНТОВ В ПОЧВЕ: статья в сборнике статей

Буевич, А. Г., Рахматова, А. Ю., Сергеев, А. П. & Тарасов, Д. А., 2017, ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, ТЕЛЕКОММУНИКАЦИИ И СИСТЕМЫ УПРАВЛЕНИЯ: сборник статей. Круглов, А. В. (ed.). Москва: Общество с ограниченной ответственностью "Эдитус", p. 87-99

Research output: Chapter in Book/Report/Conference proceedingChapterResearch

КОЛИЧЕСТВЕННАЯ ОЦЕНКА РАСТРОВЫХ ИЗОБРАЖЕНИЙ ШРИФТОВ: статья в сборнике статей

Сыдихов, А. Ш., Королькова, Д. А., Тарасов, Д. А. & Сергеев, А. П., 2017, ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, ТЕЛЕКОММУНИКАЦИИ И СИСТЕМЫ УПРАВЛЕНИЯ: сборник статей. Круглов, А. В. (ed.). Москва: Общество с ограниченной ответственностью "Эдитус", p. 226-234

Research output: Chapter in Book/Report/Conference proceedingChapterResearch

Neural Networks (Computer)
Stroke
Pediatrics
Plasminogen Activator Inhibitor 1
Folic Acid
2016

A GENERALIZED MANAGEMENT PROGRAM OF ENVIRONMENTAL MONITORING STUDIES DURING GEOLOGICAL PROSPECTING

Medvedev, A. N., Medvedev, M. A. & Sergeev, A. P., 2016, 16TH INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC GEOCONFERENCE, SGEM 2016: SCIENCE AND TECHNOLOGIES IN GEOLOGY, EXPLORATION AND MINING, VOL II. STEF92 Technology, p. 11-16 6 p. (International Multidisciplinary Scientific GeoConference-SGEM).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

3 Citations (Scopus)

Modeling of Surface Dust Concentrations Using Neural Networks and Kriging

Buevich, A. G., Medvedev, A. N., Sergeev, A. P., Tarasov, D. A., Sergeeva, M. V. & Atanasova, T. B., 16 Dec 2016, APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS (AMEE'16). Pasheva, Popivanov, N. & Venkov, G. (eds.). American Institute of Physics Publising LLC, Vol. 1789. 8 p. 020004. (AIP Conference Proceedings; vol. 1789).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review