Influence of temporal changes on a diatom species in a floodplain lake: paleolimnological and biomonitoring approach

2021 ◽  
Vol 36 (1) ◽  
pp. 1-9
Author(s):  
Daiane Trevisan Ruwer ◽  
Nicolli Cristina Osório ◽  
Sandra Costa-Böddeker ◽  
Liliana Rodrigues
Limnologica ◽  
2011 ◽  
Vol 41 (4) ◽  
pp. 316-324 ◽  
Author(s):  
Helena Oťaheľová ◽  
Ján Oťaheľ ◽  
Robert Pazúr ◽  
Richard Hrivnák ◽  
Milan Valachovič

2006 ◽  
Vol 2006 ◽  
pp. 281-282
Author(s):  
J.J. Gleysteen
Keyword(s):  

Author(s):  
Soowon Chang ◽  
Takahiro Yoshida ◽  
Robert Brent Binder ◽  
Yoshiki Yamagata ◽  
Daniel Castro-Lacouture

Author(s):  
Кonstantin А. Elshin ◽  
Еlena I. Molchanova ◽  
Мarina V. Usoltseva ◽  
Yelena V. Likhoshway

Using the TensorFlow Object Detection API, an approach to identifying and registering Baikal diatom species Synedra acus subsp. radians has been tested. As a result, a set of images was formed and training was conducted. It is shown that аfter 15000 training iterations, the total value of the loss function was obtained equal to 0,04. At the same time, the classification accuracy is equal to 95%, and the accuracy of construction of the bounding box is also equal to 95%.


2007 ◽  
Vol 35 (4) ◽  
pp. 1563-1571 ◽  
Author(s):  
I. Bauer ◽  
S. Mladenovic Drinic ◽  
G. Drinić ◽  
D. Ignjatović Micić

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