По вашему запросу найдено документов: 1462

Страница 1 из 147

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)
The article considers the use of deep neural networks for the recognition of lungs inhomogeneity
Identification of Pathological Formations in the Lungs Based on Machine Learning Methods
Shakhmametova, G.R., Vakkazov, N.O., Zulkarneev, R.KH. (2020)
The article discusses the use of deep neural networks for analysis and recognition of images
Прогнозирование клинически узкого таза с помощью нейросетевого анализа данных
Predicting a clinically narrow pelvis using neural network data analysis
Ziganshin, Aydar M., Dikke, Galina B., Mudrov, Viсtor A., Зиганшин, А.М., Дикке, Г.Б., Мудров, В.А. (2023)
модуля Neural Networks программы SPSS Statistics Version 25.0 (IBM, США). Результаты. Несмотря на
Reliability analysis of power distribution network based on Pso-DBN
Shan, H., Sun, Y., Zhang, W., Kudreyko, A., Ren, L. (2020)
the superiority of applying deep neural network to the reliability analysis of distribution network. © 2020
NEURAL NETWORK MODEL AS THE MULTIDISCIPLINARY TEAM MEMBER IN CLINICAL DECISION SUPPORT TO AVOID MEDICAL MISTAKES (ALYNX CONCEPT)
Buzaev, Igor V., Plechev, Vladimir V., Nikolaeva, Irina E., Galimova, Rezida (2017)
algorithm, for example, a neural network model in decision-making system to avoid possible mistakes in a
Multilayer Convolutional Neural Network Computer Vision Is Effective in Automatic OCT Image Processing
Mustafina, IA, Ishmetov, V., Zagidullin, N, Buzaev, IV (2022)
Multilayer Convolutional Neural Network Computer Vision Is Effective in Automatic OCT Image
ВОЗМОЖНОСТИ ЭКСПЕРТНЫХ СИСТЕМ В ПРОГНОЗИРОВАНИИ ОПЕРАЦИОННОГО РИСКА ПРИ НАИБОЛЕЕ РАСПРОСТРАНЕННЫХ ВМЕШАТЕЛЬСТВАХ В АБДОМИНАЛЬНОЙ ХИРУРГИИ
CAPABILITIES OF EXPERT SYSTEMS IN FORECASTING OPERATIONAL RISK FOR THE MOST COMMON INTERVENTIONS OF ABDOMINAL SURGERY
БОГДАНОВА, Ю.А., ЗАРИПОВА, Г.Р., КАТАЕВ, В.А., ГАЛИМОВ, О.В., Bogdanova, Y.A., Zaripova, G.R., Kataev, V.A., Galimov, O.V. (2016)
ARTIFICIAL NEURAL NETWORKS
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)
”, “neural network”, “predictors”, “artificial intelligence”, “diagnostics”, “suicide”, “depressive
ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В ОНКОЛОГИИ: ВЗГЛЯД В БУДУЩЕЕ
ARTIFICIAL INTELLIGENCE IN ONCOLOGY: A LOOK INTO THE FUTURE
ГАНЦЕВ, Ш.Х., ФРАНЦ, М.В., Gantsev, Sh.Kh., Frants, M.V. (2019)
NEURAL NETWORKS
Технология прогнозирования дородового излития околоплодных вод
A technology for prediction of preterm discharge of amniotic fluid
Mudrov, V.A., Yakimova, A.V., Ziganshin, A.M., Мудров, В. А., Якимова, А. В., Зиганшин, А. М. (2021)

Страница 1 из 147

Google Scholar
OpenDoar

Фасеты

Научный руководитель
Авторы
Ключевые слова
Год