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Non-linear FM demodulation with neural networks in through-the-earth mine communications technique based on convolutional neural network which is robust to possible non-linear effects. Our field
Оценка финансовых деривативов нейронной сетью на основе биномиального дереваBased on the Cox-Ross-Rubinstein option pricing model, forward-propagation neural network
Solving the problem of binary classification of muon decay using neural networksToday, the number of areas where neural networks are used is increasing. This is not only
Object Detection in Aerial Photos Using Neural Networks current part of image. For our experiments we took convolutional neural network and aerial photos. Also
Human physical activity recognition algorithm based on smartphone data convolutional nerual network and long short time memory, convolutional neural network (CNN) and long short-term memory (LSTM) is proposed in the paper. The proposed
Применение сверточных нейронных сетей для обнаружения и распознавания изображений на основе самописного генератора objects using convolutional neural networks. The purpose of the work is to implement an algorithm
Neural network based image understanding with ontological approach. The approach
uses the advantages of the state-of-the art deep convolutional neural networks for object
Exploring convolutional neural networks and topic models for user profiling from drug reviews processing techniques, including extensions of topic models and convolutional neural networks (CNN). We apply
Cardiac Arrhythmia Disorders Detection with Deep Learning Models of the electrocardiogram classifier is proposed, as an ensemble of a two-dimensional convolutional neural network and a
Генерация текстур с использованием свёрточных нейронных сетей representation of an original image in convolution neural network which takes into account the complex data
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