Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sarkytbayev, A."'
Autor:
Yersultan Mirasbekov, Adina Zhumakhanova, Almira Zhantuyakova, Kuanysh Sarkytbayev, Dmitry V. Malashenkov, Assel Baishulakova, Veronika Dashkova, Thomas A. Davidson, Ivan A. Vorobjev, Erik Jeppesen, Natasha S. Barteneva
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract A machine learning approach was employed to detect and quantify Microcystis colonial morphospecies using FlowCAM-based imaging flow cytometry. The system was trained and tested using samples from a long-term mesocosm experiment (LMWE, Centra
Externí odkaz:
https://doaj.org/article/8ea195a6aa8940738d6084217ff462e1
Autor:
Yersultan Mirasbekov, Aigerim Abdimanova, Kuanysh Sarkytbayev, Kanat Samarkhanov, Aidyn Abilkas, Daria Potashnikova, Galina Arbuz, Zhanpeis Issayev, Ivan A. Vorobjev, Dmitry V. Malashenkov, Natasha S. Barteneva
Publikováno v:
Frontiers in Marine Science, Vol 8 (2021)
Algal blooms occur in freshwater bodies throughout the world, often leading to fish kills. Cases of these kills along the Ural River were reported in 2018–2019, involving significant amount of sturgeon in fish farming areas. In this study, the anal
Externí odkaz:
https://doaj.org/article/ba2a6a54b8364151a65fe4e7214f23b2
Autor:
Kuanysh Sarkytbayev, Dmitry V. Malashenkov, Assel Baishulakova, Yersultan Mirasbekov, Natasha S. Barteneva, Adina Zhumakhanova, Almira Zhantuyakova, Erik Jeppesen, Ivan A. Vorobjev, Thomas Davidson, Veronika Dashkova
Publikováno v:
Mirasbekov, Y, Zhumakhanova, A, Zhantuyakova, A, Sarkytbayev, K, Malashenkov, D V, Baishulakova, A, Dashkova, V, Davidson, T A, Vorobjev, I A, Jeppesen, E & Barteneva, N S 2021, ' Semi-automated classification of colonial Microcystis by FlowCAM imaging flow cytometry in mesocosm experiment reveals high heterogeneity during seasonal bloom ', Scientific Reports, vol. 11, 9377 . https://doi.org/10.1038/s41598-021-88661-2
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
A machine learning approach was employed to detect and quantify Microcystis colonial morphospecies using FlowCAM-based imaging flow cytometry. The system was trained and tested using samples from a long-term mesocosm experiment (LMWE, Central Jutland
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d03fc66f236c9defe93c1dab1be1198
https://pure.au.dk/portal/da/publications/semiautomated-classification-of-colonial-microcystis-by-flowcam-imaging-flow-cytometry-in-mesocosm-experiment-reveals-high-heterogeneity-during-seasonal-bloom(5873e75b-43e6-40c2-978a-04e278a3f695).html
https://pure.au.dk/portal/da/publications/semiautomated-classification-of-colonial-microcystis-by-flowcam-imaging-flow-cytometry-in-mesocosm-experiment-reveals-high-heterogeneity-during-seasonal-bloom(5873e75b-43e6-40c2-978a-04e278a3f695).html
Autor:
Azamat Sarkytbayev, Huseyin Atakan Varol, Askat Kuzdeuov, Yerbolat Khassanov, Mukhamet Nurpeiissov
Publikováno v:
SII
The WiFi-based indoor localization problem aims to identify the location of a user using the signals received from surrounding wireless access points. A major approach to address this problem is through machine learning algorithms trained on precolle
Akademický článek
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Akademický článek
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Publikováno v:
Elkington, M, Ward, C & Sarkytbayev, A 2017, Automated composite draping : a review . in SAMPE 2017 . SAMPE SEATTLE 2017, Seattle, United States, 22/05/17 .
Scopus-Elsevier
Scopus-Elsevier
The automated forming of high quality composite components has been the subject of a large volume of research over the last 30 years. This paper provides a summary of the challenges involved in composite layup and reviews a wide range of novel proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::959ac1fe6adc3c48de33c69662a195ec
https://research-information.bristol.ac.uk/en/publications/automated-composite-draping(5756687a-d355-4d49-8f29-0db2ac594149).html
https://research-information.bristol.ac.uk/en/publications/automated-composite-draping(5756687a-d355-4d49-8f29-0db2ac594149).html
Publikováno v:
International Sampe Technical Conference; 2017, p1672-1686, 15p
Conference
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