По вашему запросу найдено документов: 156

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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
Delocalized Nonlinear Vibrational Modes in Bcc Lattice for Testing and Improving Interatomic Potentials
Ryabov, Denis S., Kosarev, Igor V., Xiong, Daxing, Kudreyko, Aleksey A., Dmitriev, Sergey V. (2025)
ab initio approach. DNVMs can also be used to train new, more accurate machine learning potentials
EFFECTS OF NOVEL HEXAHYDROPYRIMIDINE DERIVATIVES AS POTENTIAL LIGANDS OF M1 MUSCARINIC ACETYLCHOLINE RECEPTOR ON COGNITIVE FUNCTION, HYPOXIA-INDUCED LETHALITY, AND OXIDATIVE STRESS IN RODENTS
SAPOZHNIKOVA, T.A., BORISEVICH, S.S., KIREEVA, D.R., GABDRAKHMANOVA, S.F., KHISAMUTDINOVA, R.Y., MAKARA, N.S., GIBADULLINA, N.N., KHURSAN, S.L., ZARUDII, F.S. (2019)
. The purposeof this study was to elucidate the influence of hexahydropyrimidine derivatives on learning, memory
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
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
Photoinduced Interactions in Thin Films of Azo Dyes and Planar-Aligned Nematic Liquid Crystal
Kudreyko, Aleksey, Chigrinov, Vladimir, Perestoronina, Arina (2025)
interactions associated with liquid crystal and azo dye layers. In this study, we investigate a model
PAEONIFLORIN BENZOATES: SYNTHESIS AND INFLUENCE ON LEARNING AND MEMORY OF AGED RATS IN THE PASSIVE AVOIDANCE TASK
BALTINA, L., SAPOZHNIKOVA, T., MAKARA, N., GABDRAKHMANOVA, S., KONDRATENKO, R. (2019)
, containing C4 = O function, were obtained and their influence on learning and memory of aged rats was studied
Machine Learning Methods and Models for Recognizing Lung Inhomogeneity from Computed Tomography Scans
Shakhmametova, G. R., Stepanova, E. S., Akhmetshin, A. A., Zulkarneev, R. Kh. (2023)
-platform. For machine learning algorithms, PyTorch 1.9.0 packages were used. An analysis of the effectiveness
Использование методов машинного обучения в диагностике и прогнозировании клинических особенностей шизофрении: нарративный обзор литературы
Machine Learning Techniques in Diagnostics and Prediction of the Clinical Features of Schizophrenia: A Narrative Review
Gashkarimov, Vadim Rimovich, Sultanova, Renata Ildarovna, Efremov, Ilya Segeevich, Asadullin, Azat (2023)
and patient’s quality of life. In this context, machine learning techniques open up new opportunities for a

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