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Alexandr I. Taganov
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Conference and Workshop Papers
- 2019
- [c10]Natalia A. Kopylova, Alexandr I. Taganov, Oleg A. Bodrov, Aleksandr N. Kolesenkov:
Fuzzy Clusterization of Ecological Risks in Geo-Information Systems. MECO 2019: 1-4 - [c9]Vladimir G. Psoyants, Alexandr I. Taganov, Aleksandr N. Kolesenkov, Irina V. Bodrova:
Risk Management Technology of Software Project Sustainability in Fuzzy Conditions. MECO 2019: 1-4 - 2018
- [c8]Natalia A. Kopylova, Alexandr I. Taganov, Oleg A. Bodrov, Aleksandr N. Kolesenkov:
The analysis of ecological risks in geoinformational systems in fuzzy conditions. MECO 2018: 1-4 - 2017
- [c7]Natalia V. Akinina, Maxim V. Akinin, Alexandr I. Taganov, Michael B. Nikiforov:
Methods of detection in satellite images of illegal dumps by using a method based on tree classifier. MECO 2017: 1-3 - [c6]Natalia V. Akinina, Sergey I. Gusev, Aleksandr N. Kolesenkov, Alexandr I. Taganov:
Issues of applying fuzzy situational models of decision making for identifying ecological risks. MECO 2017: 1-5 - [c5]Alexandr I. Taganov, Aleksandr N. Kolesenkov, Sergey I. Babaev, Victoria A. Sablina:
Concept of service for search, indexing, cataloging and distribution of aerospace images. MECO 2017: 1-4 - 2016
- [c4]Natalya V. Akinina, Maxim V. Akinin, Alexandr I. Taganov, Alexandra V. Sokolova, Michael B. Nikiforov:
Neural network implementation of a principal component analysis tasks on board the unmanned aerial vehicle information processing in real time. MECO 2016: 326-330 - 2015
- [c3]Maxim V. Akinin, Alexandr I. Taganov, Michael B. Nikiforov, Alexandra V. Sokolova:
Image segmentation algorithm based on self-organized Kohonen's neural maps and tree pyramidal segmenter. MECO 2015: 168-170 - [c2]Maxim V. Akinin, Natalya V. Akinina, Alexandr I. Taganov, Michael B. Nikiforov:
Autoencoder: Approach to the reduction of the dimension of the vector space with controlled loss of information. MECO 2015: 171-173 - 2014
- [c1]Maxim V. Akinin, Alexandr I. Taganov, Michael B. Nikiforov:
Algorithm of the automated combining of remote sensing data and digital maps, based on non-linear cellular neural network and Boltzmann's restricted stochastic machine. MECO 2014: 144-147
Coauthor Index
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