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По вашему запросу найдено документов: 165353

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Effect of Pt, Pd, Ag, Y additives on the surface and in the bulk of tin dioxide thin nanocrystalline films on characteristics of resistive hydrogen sensors

Almaev, A. V., Sevastyanov, E. Yu., Chernikov, E. V., Maksimova, Nadezhda K.

Renal cell carcinoma drug and cell therapy: today and tomorrow

Pushkin, A. A., Burda, Yu. E., Sevastyanov, A. A., Kulikovskiy, V. F., Burda, S. Yu.

Effect of Pt, Pd, Au additives on the surface and in the bulk of tin dioxide thin films on the electrical and gas-sensitive properties

Maksimova, N. K, Novikov, Vladimir A., Rudov, F. V., Sergeychenko, N. V., Chernikov, E. V., Sevastyanov, E. Yu.

Increase in the sensitivity and selectivity of semiconductor gas sensors

Muksunov, Timur R., Sevastyanov, E. Yu., Shipilov, Sergey E., Yakubov, Vladimir P., Maksimova, N. K.

Improving the energy efficiency of the smart buildings with the boosting algorithms

Shchetinin E.Yu., Melezhik V.S., Sevastyanov L.A.

Influence of water vapors and hydrogen on the energy band bending in the SnO2 microcrystals of polycrystalline tin dioxide films

Gaman, V. I., Sevastyanov, E. Yu., Maksimova, N. K., Almaev, A. V.

Effect of long-term operation on energy band bending at the SnO2 microcrystals interfaces in thin tin dioxide films with various catalysts

Almaev, A. V., Sevastyanov, E.Yu., Maksimova, N. K., Gaman, V. I.

Stable computer modeling of a thin-film generalized waveguide Luneberg lens

Egorov A.A., Sevastʹyanov A.L., Aĭryan È.A., Sevastʹyanov L.A.

Properties of resistive hydrogen sensors as a function of additives of 3d-metals introduced in the volume of thin nanocrystalline SnO2 films

Sevastyanov, E. Yu., Potekaev, Aleksandr I., Sergeichenko, N. V., Chernikov, E. V., Almaev, A. V., Kushnarev, B. O., Maksimova, N. K

Automated detection of COVID-19 coronavirus infection based on analysis of chest X-ray images by deep learning methods; [Компьютерная система обнаружения COVID-19 по рентгеновским снимкам легких методами глубокого обучения]

Shchetinin E.Y., Sevastyanov L.A.

of proposed fine-tuned deep learning models for COVID-19 detection on chest X-ray images. © Eu.Yu. Shchetinin

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