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COMPARATIVE ANALYSIS OF NEURAL NETWORK ALGORITHMS FOR OBJECTS SEGMENTATION ON AERIALIMAGES neural networks for the detection of objects of three classes: "water", "forest", "agriculture" on aerial

Система непрямого прогнозирования вырабатываемой электроэнергии массивом солнечных панелей на основе модифицированной нечеткой нейросети of deep neural networks, on the basis of the outputs of which a modified fuzzy neural network generated

Hierarchical multispectral image classification based on self organized maps, and it could not be solved in a common case. We propose a new approach, based on the artificial neural networks

Skin cancer classification computer system development with deep learning lesions is proposed. For this purpose, the deep neural network architecture was developed and applied

Evolution of Artificial Neural NetworksThe history of artificial neural networks originates from the distant 1943, when Warren Mc

Segmentation, analysis and tagging of scenes in video containing actions using convolutional and recurrent neural networks. This paper explores the possibility of using convolutional and recurrent neural networks to the problem

Формирование обучающей выборки для свёрточных нейронных сетей при реидентификации людей по видеоданнымTraining Sample Formation for Convolution Neural Networks to Person Re-Identification from Video

Автоматическая колоризация изображений на основе свёрточных нейронных сетейAutomatic Image Colorization Based on Convolutional Neural Networks

Алгоритмизация, поиск и классификация опухолей головного мозга при помощи сверточной нейронной сетиAlgorithmization search and classification of brain tumors using convolutional neural network

ОЦЕНКА ИНДЕКСОВ ГЕОМАГНИТНОЙ И СОЛНЕЧНОЙ АКТИВНОСТИ ПО РАСПРЕДЕЛЕНИЮ ПЭС ИОНОСФЕРЫ С ПОМОЩЬЮ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ ionospheric maps of the total electron content. A convolutional artificial neural network is used as a

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