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Использование ансамбля сверточных нейронных сетей для распознавания дорожных знаковUsage of convolutional neural network ensemble for traffic sign recognition

COMBINED SEGMENTATION METHOD APPLICATION FOR THE EARTH REMOTE SENSINGMULTI-SPECTRAL IMAGES RECOGNITIONconvolutional neural networks

Visual Question Answering for Response Synthesis Based on Spatial Actions of combining the results of convolutional and recurrent networks and projection on a set of valid answers. A

Создание экспертной системы для постановки диагноза of convolutional neural networks. The proposed project reveals the solution to the problem of accelerating

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

Edge-guided and hierarchical aggregation network for robust medical image segmentationMedical image segmentation with the convolutional neural networks (CNNs), significantly enhances

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

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

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