Отображение результатов 1 до 20 из 32
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| Дата публикации | Название | Авторы |
| 2015 | Application of the artificial neural network method for time series analysis | Сыдихов, А. Ш.; Тягунов, А. Г.; Сергеев, А. П.; Тарасов, Д. А.; Уразбаева, Р. Е.; Sydikhov, A. S.; Tyagunov, A. G.; Sergeev, A. P.; Tarasov, D. A.; Urazbaeva, R. E. |
| 2023 | Combination of personalized computational modeling and machine learning for optimization of left ventricular pacing site in cardiac resynchronization therapy | Dokuchaev, A.; Chumarnaya, T.; Bazhutina, A.; Khamzin, S.; Lebedeva, V.; Lyubimtseva, T.; Zubarev, S.; Lebedev, D.; Solovyova, O. |
| 2021 | #EEGManyLabs: Investigating the Replicability of Influential EEG Experiments | Pavlov, Y. G.; Adamian, N.; Appelhoff, S.; Arvaneh, M.; Benwell, C. S. Y.; Beste, C.; Bland, A. R.; Bradford, D. E.; Bublatzky, F.; Busch, N. A.; Clayson, P. E.; Cruse, D.; Czeszumski, A.; Dreber, A.; Dumas, G.; Ehinger, B.; Ganis, G.; He, X.; Hinojosa, J. A.; Huber-Huber, C.; Inzlicht, M.; Jack, B. N.; Johannesson, M.; Jones, R.; Kalenkovich, E.; Kaltwasser, L.; Karimi-Rouzbahani, H.; Keil, A.; König, P.; Kouara, L.; Kulke, L.; Ladouceur, C. D.; Langer, N.; Liesefeld, H. R.; Luque, D.; MacNamara, A.; Mudrik, L.; Muthuraman, M.; Neal, L. B.; Nilsonne, G.; Niso, G.; Ocklenburg, S.; Oostenveld, R.; Pernet, C. R.; Pourtois, G.; Ruzzoli, M.; Sass, S. M.; Schaefer, A.; Senderecka, M.; Snyder, J. S.; Tamnes, C. K.; Tognoli, E.; van Vugt, M. K.; Verona, E.; Vloeberghs, R.; Welke, D.; Wessel, J. R.; Zakharov, I.; Mushtaq, F. |
| 2021 | Effect of Saturation on the Viscoelastic Properties of Dentin | Cisneros, T.; Zaytsev, D.; Seyedkavoosi, S.; Panfilov, P.; Gutkin, M. Y.; Sevostianov, I. |
| 2020 | Effects of interactions on magnetization relaxation dynamics in ferrofluids | Ivanov, A. O.; Camp, P. J. |
| 2023 | From climate risk to the returns and volatility of energy assets and green bonds: A predictability analysis under various conditions | Bouri, E.; Rognone, L.; Sokhanvar, A.; Wang, Z. |
| 2023 | Information-modeling system for prediction of the composition and properties of final slag in a blast furnace in real time | Pavlov, A. V.; Spirin, N. A.; Gurin, I. A.; Lavrov, V. V.; Beginyuk, V. A.; Istomin, A. S. |
| 2021 | Machine Learning Prediction of Cardiac Resynchronisation Therapy Response From Combination of Clinical and Model-Driven Data | Khamzin, S.; Dokuchaev, A.; Bazhutina, A.; Chumarnaya, T.; Zubarev, S.; Lyubimtseva, T.; Lebedeva, V.; Lebedev, D.; Gurev, V.; Solovyova, O. |
| 2021 | Mathematical modelling of industrial equipment operation based on Markov processes | Mokhov, V. G.; Chebotareva, G. S. |
| 2023 | Microbial tapestry of the Shulgan-Tash cave (Southern Ural, Russia): influences of environmental factors on the taxonomic composition of the cave biofilms | Gogoleva, N.; Chervyatsova, O.; Balkin, A.; Kuzmina, L.; Shagimardanova, E.; Kiseleva, D.; Gogolev, Y. |
| 2017 | Modified mean-field theory of the magnetic properties of concentrated, high-susceptibility, polydisperse ferrofluids | Solovyova, A. Y.; Elfimova, E. A.; Ivanov, A. O.; Camp, P. J. |
| 2023 | Novel high-risk missense mutations identification in FAT4 gene causing Hennekam syndrome and Van Maldergem syndrome 2 through molecular dynamics simulation | Shinwari, K.; Rehman, H. M.; Xiao, N.; Guojun, L.; Khan, M. A.; Bolkov, M. A.; Tuzankina, I. A.; Chereshnev, V. A. |
| 2018 | Old puzzle of incommensurate crystal structure of calaverite AuTe2 and predicted stability of novel AuTe compound | Streltsov, S. V.; Roizen, V. V.; Ushakov, A. V.; Oganov, A. R.; Khomskii, D. I. |
| 2022 | Perceived stress, emotion regulation and quality of life during the Covid-19 outbreak: A multi-cultural online survey | Khodami, M. A.; Seif, M. H.; Koochakzadeh, R. S.; Fathi, R.; Kaur, H. |
| 2023 | A Possible Chemical Clock in High-mass Star-forming Regions: N(HC3N)/N(N2H+)? | Wang, Y. X.; Zhang, J. S.; Yu, H. Z.; Wang, Y.; Yan, Y. T.; Chen, J. L.; Zhao, J. Y.; Zou, Y. P. |
| 2014 | The prediction of electric energy consumption using an artificial neural network | Chernykh, I.; Chechushkov, D.; Panikovskaya, T. |
| 2022 | Prediction of Sandstone Dilatancy Point in Different Water Contents Using Infrared Radiation Characteristic: Experimental and Machine Learning Approaches | Ma, L.; Khan, N. M.; Cao, K.; Rehman, H.; Salman, S.; Rehman, F. U. |
| 2011 | Problems and prospects of socially-demographic development of Russian region (on the example of Sverdlovsk region) | Cherepanova, A. V.; Vasilyeva, E. V. |
| 2023 | Short-Term Prediction of the Wind Speed Based on a Learning Process Control Algorithm in Isolated Power Systems | Manusov, V.; Matrenin, P.; Nazarov, M.; Beryozkina, S.; Safaraliev, M.; Zicmane, I.; Ghulomzoda, A. |
| 2023 | Using AlphaFold to predict the impact of single mutations on protein stability and function | Pak, M. A.; Markhieva, K. A.; Novikova, M. S.; Petrov, D. S.; Vorobyev, I. S.; Maksimova, E. S.; Kondrashov, F. A.; Ivankov, D. N. |
