По вашему запросу найдено документов: 179

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Flexible and Contextual Cloud Applications in Mobile Learning
Hashimova, A., Prasolov, V., Burlakov, V., Semenova, L. (2020)
The aim of the article is to study the modern mobile learning system, to understand its advantages
ИНТЕГРАЦИЯ ЦИФРОВЫХ ТЕХНОЛОГИЙ В ПРОЦЕСС ОБУЧЕНИЯ РКИ
INTEGRATION OF DIGITAL TECHNOLOGIES INTO THE PROCESS OF TEACHING RUSSIAN AS A FOREIGN LANGUAGE
Тимошина, Д.В., Timoshina, D.V. (2024)
mobile learning
DISADVANTAGES AND ADVANTAGES OF DISTANCE LEARNING
Fazlutdinova, L.R., Gainullin, R.A., Yulmukhametov, A.A. (2023)
The article discusses the nuances of distance learning at the university, highlights the advantages
COLLOBATION FORMS OF LEARNING
Ibragimov, D.R., Aitova, L.R., Timerbulatov, M.V. (2023)
learning. Distance form of education is the receipt of educational services without visiting an educational
Cloud technologies and machine learning in malignant tumors identification via Raman spectroscopy
KOVTUNENKO, A.S., BILYALOV, A.R., V.N. Pavlov (2019)
the technical aspects of solving the problem of malignant tumors diagnostic using machine learning
THE ADULT LEARNING THEORY PRINCIPLES
Tselousova, O.S., Ovsyannikova, L.B. (2023)
the andragogy approach of today’s methodology. There are six main assumptions in adult learning theory. They are
Identification of Pathological Formations in the Lungs Based on Machine Learning Methods
Shakhmametova, G.R., Vakkazov, N.O., Zulkarneev, R.KH. (2020)
is proposed and a model for finding pathological formations based on machine learning methods is developed
DIGITAL TOOLS IN LEARNING STUDENTS OF PEDIATRIC FACULTY
Yakovleva, L.V., Kuchina, E.S., Tikhonova, R.Z. (2023)
DIGITAL TOOLS IN LEARNING STUDENTS OF PEDIATRIC FACULTY
Predicting Threat Degree for Onset of Type 2 Diabetes Mellitus Based on Machine Learning Methods
Shakhmametova, G., Vakkazov, N., Klimets, S. (2023)
This article discusses the use of machine learning methods to predict the degree of threat
Machine Learning Algorithms for the Analysis of Age-Related Macular Degeneration Based on Optical Coherence Tomography: a Systematic Review
Lopukhova, Ekaterina A., Ibragimova, Rada R., Idrisova, Gulnaz M., Lakman, Irina A., Mukhamadeev, Timur R., Grakhova, Elizaveta P., Bilyalov, Azat R., Kutluyarov, Ruslan V. (2023)
is expressed in the application of various machine learning algorithms, metrics for evaluating

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