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The visual approach in educational projects
Dadykin, А. К., Dibrova, V. A., Tahini, I. H.
new ways of learning and teaching. The new results were obtained by using a visual approach and visual
Visual content as an important element in the modern journalism
Guseinova A., Zayni R.
of personal position and emotions of an author - journalist, images and details. Therefore, modern journalism
Information visualization in the educational process: Current trends
Liu Z.-J., Levina V., Frolova Y.
The rapid development of computer visualization techniques as well as virtual and augmented reality
A Laser Refraction Analyzer for Eyesight Improvement
Gudkov A.G., Leushin V.Y., Sidorov I.A., Agasieva S.V., Chizhikov S.V., Shashurin V.D., Gudkov G.A.
treatment of amblyopia, nystagmus, aphakia, visual fatigue, progressing myopia in children and adolescents
Visual art experience during the coronavirus pandemic
Chunikhin Kirill
Visual art experience during the coronavirus pandemic
Proposed System of New Generation LMS Using Visual Models to Accelerate Language Acquisition
Tahini, I. H., Dadykin, А. К.
the structure of the language from the verbal to the visual form, thereby creating the opportunity to use them
Fundamentals of New Effective System to Accelerate Language Acquisition Using Visual Approach
Bradbury, B. L., Tahini, I. H., Dadykin, А. К.
of the visual approach and the visual model, which is based on this approach, and the use of the system analysis
Visualization of the dynamics of changes in structured data by the example of covid-19 development
Trubakova A.
It is very important to visualize the initial data in a decision-making system with human
Distant response of the visual analyzer function (visual fields) to the reduction of occlusal vertical dimension in dental patients
Voytiatskaya, I. V., Tsimbalistov, A. V., Oleinik, E. A., Oganesyan, A. A.
of the visual fields which used the program 30-2 and evaluated a fovea function (macular region). CAP is used
Acute pancreatitis severity classifcation: accuracy, robustness, visualization
Ekaterina, Mangalova, Olesya, Chubarova, Daniil, Melekh, Anton, Stroev
infuence of the training sample on the predictions. In this paper prediction stability visualization based

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