Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Anna Ostrovskaya"'
Autor:
Sergei Sidorov, Timofei Emelianov, Sergei Mironov, Elena Sidorova, Yuri Kostyukhin, Alexandr Volkov, Anna Ostrovskaya, Lyudmila Polezharova
Publikováno v:
Mathematics, Vol 12, Iss 5, p 643 (2024)
It is recognized that most real systems and networks exhibit a much higher clustering with comparison to a random null model, which can be explained by a higher probability of the triad formation—a pair of nodes with a mutual neighbor have a greate
Externí odkaz:
https://doaj.org/article/17c5267c7a5c41088a40237147de0d9c
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 854, Iss 24, Pp 116-122 (2019)
This article presents research results of two convolutional neural networks for building detection on satellite images of Planet database. To analyze the quality of developed algorithms, there was used Sorensen-Dice coefficient of similarity which co
Externí odkaz:
https://doaj.org/article/d2601588d74645bb9882bf282bb7a8bb
Autor:
Anna Ostrovskaya, Caroline Hick, Dana S. Hutchinson, Brett W. Stringer, Peter J. Wookey, Denise Wootten, Patrick M. Sexton, Sebastian G. B. Furness
Publikováno v:
BMC Cancer, Vol 19, Iss 1, Pp 1-12 (2019)
Abstract Background Glioblastoma (GBM) is the most common and aggressive type of primary brain cancer. With median survival of less than 15 months, identification and validation of new GBM therapeutic targets is of critical importance. Results In thi
Externí odkaz:
https://doaj.org/article/14b30d0793574629978da705e838df9e
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 602, Iss 23, Pp 172-179 (2018)
Convolutional neural networks for detection geo- objects on the satellite images from DSTL, Landsat-8 and PlanetScope databases were analyzed. Three modification of convolutional neural network architecture for implementing the recognition algorithm
Externí odkaz:
https://doaj.org/article/49717690659a46169effbc20d9338bab
Publikováno v:
Sustainability; Volume 15; Issue 12; Pages: 9747
This study analyzed the sustainable economic development of some organizations for the period of 2020–2022. The authors found that organizations’ sustainable development is influenced by technological superiority based on the creation and product
Autor:
Dana S. Hutchinson, Patrick M. Sexton, Denise Wootten, Caroline A. Hick, Peter J. Wookey, Sebastian G.B. Furness, Brett W. Stringer, Anna Ostrovskaya
Publikováno v:
BMC Cancer, Vol 19, Iss 1, Pp 1-12 (2019)
BMC Cancer
BMC Cancer
Background Glioblastoma (GBM) is the most common and aggressive type of primary brain cancer. With median survival of less than 15 months, identification and validation of new GBM therapeutic targets is of critical importance. Results In this study w
Publikováno v:
Eastern-European Journal of Enterprise Technologies, Vol 6, Iss 12 (96), Pp 28-34 (2018)
Improved effectiveness of ice protection systems of aerospace crafts can be achieved with the development of more effective heaters. Self-regulating electric heaters based on positive or negative temperature coefficient have achieved the highest dema
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030804848
The paper focuses on the developed methodological approach to ranking innovative technologies based on the use of simulation methods. For each of the analyzed innovative technology, the calculation is carried out according to the parameters that char
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21b7ffa7480753de104d44e110889df7
https://doi.org/10.1007/978-3-030-80485-5_64
https://doi.org/10.1007/978-3-030-80485-5_64
Autor:
Anna Ostrovskaya
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030804848
The paper focuses on the impact of product differentiation on the sustainable development of high-tech organizations. It is determined that in the face of financial constraints and a difficult geopolitical situation, the implementation of the differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d92f1132dd556008baac64bbc98a6798
https://doi.org/10.1007/978-3-030-80485-5_65
https://doi.org/10.1007/978-3-030-80485-5_65
Publikováno v:
EWDTS
Results of training of convolutional neural network for satellite four-channel image segmentation are performed. Input images contain blue, green, red and near-infrared channels. The algorithm was trained to detect buildings and other urban areas. Mo