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Heart rate estimation from photoplethysmogram and accleration smartphone data based on convolutional neural network and long short time memory
Qiu GaoWei
on convolutional neural network and long short time memory
Loss function selection in a problem of satellite image segmentation using convolutional neural network
Sedov A.G., Khryashchev V.V., Larionov R.V., Ostrovskaya A.A.
Results of training a convolutional neural network for the satellite image segmentation
Non-linear FM demodulation with neural networks in through-the-earth mine communications
Kudinov, M S, Kudinov, D S, Kokhonkova, E A
technique based on convolutional neural network which is robust to possible non-linear effects. Our field
Оценка финансовых деривативов нейронной сетью на основе биномиального дерева
Шорохов С.Г.
Based on the Cox-Ross-Rubinstein option pricing model, forward-propagation neural network
Solving the problem of binary classification of muon decay using neural networks
Demidova A.V., Demidova T.S., Sobolev A.A., Masina O.N.
Today, the number of areas where neural networks are used is increasing. This is not only
Object Detection in Aerial Photos Using Neural Networks
Ivanov E.S., Smirnov A.V., Tishchenko I.P., Vinogradov A.N.
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
Yang, Z. X., Chen, Z. Y.
, 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
Муаль М.Н., Козырев Д.В.
objects using convolutional neural networks. The purpose of the work is to implement an algorithm
Neural network based image understanding with ontological approach
Iskra, N. A., Iskra, V. V., Lukashevich, M., Искра, Н. А., Искра, В. В., Лукашевич, М. М.
. 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
Tutubalina E., Nikolenko S.
processing techniques, including extensions of topic models and convolutional neural networks (CNN). We apply

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