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Diatom Analysis Using SOQL Language Interpreter

Авторы: Avramenko Y. V., Fedorov R.K., Firsova A.D.

Журнал: Springer Proceedings in Earth and Environmental Sciences

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Год: 2019

Отчётный год: 2020

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Аннотация: Article proposes the method based on logic programming image recognition in order to solve the diatom selection problem. This method is suitable for diatoms selection, as it allows describing every type of diatoms and performing the search. This analysis is based on the study of micro algae organisms, particularly counting the number of diatoms remaining. Counting is usually performed manually by the microscope operator, so, in this paper, we suggest using the SOQL interpreter to find objects to help the operator to estimate the amount of remaining diatom algae.

Индексируется WOS: 1

Индексируется Scopus: 0

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