По вашему запросу найдено документов: 24

Страница 1 из 3

Multi-Fractal Weibull Adaptive Model for the Remaining Useful Life Prediction of Electric Vehicle Lithium Batteries
Deng, W., Gao, Y., Chen, J., Kudreyko, A., Cattani, C., Zio, E., Song, W. (2023)
In this paper, an adaptive remaining useful life prediction model is proposed for electric vehicle
Remaining Useful Life Prediction of Lithium-Ion Battery Based on Adaptive Fractional Lévy Stable Motion with Capacity Regeneration and Random Fluctuation Phenomenon
Song, Wanqing, Chen, Jianxue, Wang, Zhen, Kudreyko, Aleksey, Qi, Deyu, Zio, Enrico (2023)
is based on adaptive fractional Lévy stable motion (AfLSM) and integrated with the Mellin
Hybrid Approach of Fractional Generalized Pareto Motion and Cosine Similarity Hidden Markov Model for Solar Radiation Forecasting
Song, W., Deng, W., Chen, D., Jin, R., Kudreyko, A. (2023)
using various statistical algorithms and artificial intelligence. In particular, we suggest the use of a
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
User-level malicious behavior analysis model based on the NMF-GMM algorithm and ensemble strategy
Kan, Xiu, Fan, Yixuan, Zheng, Jinjie, Kudreyko, Aleksey, Chi, Chi-hung, Song, Wanqing, Tregubova, Albina (2023)
User-level malicious behavior analysis model based on the NMF-GMM algorithm and ensemble strategy
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)
organs, as well as the developed algorithm for calculating the volume of inhomogeneity. To implement
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)
of MRI, EEG, and actigraphy findings. Also, models created using machine learning algorithms can analyze
Синдром раздраженного кишечника у детей: эволюция клинических рекомендаций
Irritable bowel syndrome in children: evolution of manifestations
Belmer, Sergey V., Gurova, Margarita M., Zvyagin, Aleksandr A., Kornienko, Elena A., Nalyotov, Andrew V., Nizhevich, Aleksandr A., Novikova, Valeriya P., Pechkurov, Dmitriy V., Privorotskii, Valerii F., Tyazheva, Alena A., Faizullina, Rezeda A., Khavkin, , Anatoly I., Бельмер, С. В., Гурова, М. М., Звягин, А. А., Корниенко, Е. А., Налётов, А. В., Нижевич, А. А., Новикова, В. П., Печкуров, Д. В., Приворотский, В. Ф., Тяжева, А. А., Файзулина, Р. А., Хавкин, А. И. (2023)
mechanisms of IBS are presented. Algorithms for the management of children with this pathology are presented
Polygenic Analysis of Cytokine and Inflammatory Gene Polymorphisms in Chronic Obstructive Pulmonary Disease
Korytina, G.F., Aznabaeva, Y.G., Kochetova, O.V., Nasibullin, T.R., Akhmadishina, L.Z., Khusnutdinova, N.N., Zagidullin, N. Sh., Victorova, T.V. (2023)
.34). Using the APSampler algorithm, we obtained gene–gene combinations that remained significantly associated
Genetic Predictors of Antipsychotic Efflux Impairment via Blood-Brain Barrier: Role of Transport Proteins
Nasyrova, Regina F., Shnayder, Natalia A., Osipova, Sofia M., Khasanova, Aiperi K., Efremov, Ilya S., Al-Zamil, Mustafa, Petrova, Marina M., Narodova, Ekaterina A., Garganeeva, Natalia P., Shipulin, German A. (2023)
propose a riskometer for PTAP-PGx and a decision-making algorithm for psychiatrists. Conclusions

Страница 1 из 3

Google Scholar
OpenDoar

Фасеты

Авторы
Ключевые слова
Год