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TECHNOLOGY AND THE PROCESS OF TRANSLATION
Attia A.H.
-paced life, where technology is highly-welcomed, and machine translation found its way to our lives, however
Monitoring of carrying cable in the well by electric drive of winch at the logging works
Odnokopylov, I. G., Gneushev, V. V., Larioshina, I. A.
Emergency situations during logging operations are considered. The necessity of monitoring
POSSIBILITIES OF FORENSIC BIOLOGY IN CRIMINAL LAW CASES UNDER ARTICLE 260 OF THE CRIMINAL MDE OF THE RUSSIAN FEDERATION "ILLEGAL LOGGING OF FOREST PLANTATIONS"
Вахрушева Е.В.
of forensic biology in the investigation of cases related to illegal logging of forest plantations. Examples
Improvement of agricultural machinery economic efficiency
Subaeva A., Zamaidinov A.
manufacturers of agricultural commodities. Major functions of the Machine-Technological Stations (MTS) have been
A machine-learning scraping tool for data fusion in the analysis of sentiments about pandemics for supporting business decisions with human-centric AI explanations
Kumar S.A., Nasralla M.M., García-Magariño I., Kumar H.
commercialization techniques. This article proposes an expert system based on the combination of machine learning
Queuing Model with Customer Class Movement across Server Groups for Analyzing Virtual Machine Migration in Cloud Computing
Kushchazli A., Safargalieva A., Kochetkova I., Gorshenin A.
The advancement of cloud computing technologies has positioned virtual machine (VM) migration as a
Scheduling of two parallel machines with linear decreasing time slot costs to minimize total weightedcompletion time
Lushchakova, I. N., Kononov, V. A.
We consider a scheduling problem with two parallel machines to minimize the sum of total weighted
Building the tatar-Russian NMT system based on re-translation of multilingual data
-based and the neural network approaches to the construction of the machine translation system for the Tatar
Machine Learning Approach for Carbon Capture and Utilization – a Prelimenary Investigation
Palkar, R. R., Palkar, S. R., Jadeja, R. B.
results may not be obtained. In order to overcome the issues mentioned, a combined approach with machine
A taxonomy creation for agriculture using classical machine learning algorithms
Paulavets, M. E., Porciello, J., Kiryllau, Y. I., Einarson, S.
achievements. We used machine learning semantic models to generate a taxonomy of agricultural interventions

Страница 19 из 804

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