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Перспективы развития лесозаготовительной техники ОАО «АМКОДОР» Amkodor among the world leaders in the production of logging machines are given. The work reflects

Innovation production of pulpchips at logging site chips in a gray alder plantations is considered. The foundations of technologies and options for machine

Использование предиктивной аналитики и машинного обучения для прогноза аварий в процессе строительства нефтяных и газовых скважинApplication of predictive analytics and machine learning to forecast accidents in the process

Лесозаготовительные машины Комацу в Республике БеларусьThe article shows some directions of forest machine dealer working in the Belarusian logging market

Анализ лог-файлов с применением машинного обучения will be formed for their own solution based on machine learning for log file analysis.

Clastic facies classification using machine learning-based algorithms: A case study from Rawat Basin, SudanMachine learning techniques and a dataset of five wells from the Rawat oilfield in Sudan containing

Two-machine shop scheduling with zero and unit processing timesWe consider the two machine flow shop and open shop problems to minimize the weighted mean flow

The optimality box in uncertain data for minimizing the sum of the weighted completion times of the given jobsAn uncertain single-machine scheduling problem is considered, where the processing time of a job

О сложности построения таблицы простых чисел на машине Тьюринга Тьюринга равна O(n log n).

ESTIMATION OF ORGANIC CARBON CONTENT IN RUSSIAN SOILS USING ENSEMBLE MACHINE LEARNING; [ОЦЕНКА СОДЕРЖАНИЯ ОРГАНИЧЕСКОГО УГЛЕРОДА В ПОЧВАХ ШССИИ С ПОМОЩЬЮ АНСАМБЛЕВОГО МАШИННОГО ОБУЧЕНИ] the ensemble machine learning. Automated predictive mapping was based on 4 961 soil horizons from 863 soil

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