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Low-latency Human Portrait Segmentation Network Optimized for CPU Inference
Pirshtuk, D.
In this paper, we discuss a design of fast and lightweight neural networks for working in real
Using Neural Networks to Detect Anomalies in X-Ray Images Obtained with Full-Body Scanners
Markov A.S., Kotlyarov E.Y., Anosova N.P., Popov V.A., Karandashev Y.M., Apushkinskaya D.E.
. Examples of processed images are given. The first (preliminary) results of using a neural network
About the user validation algorithm, based on artificial neural networks
. The method in question is based on the application of neural networks similar to Kohonen’s Self
Solving the problem of binary classification of muon decay using neural networks
Demidova A.V., Demidova T.S., Sobolev A.A., Masina O.N.
the optimal architecture. This paper discusses the main architectures of neural networks. The purpose
Detecting anomalies in network traffic using machine learning techniques
Tuleubay Safiullin, Abramovich, M.
The problem of anomaly detection in network traffic using machine learning and neural network
Evaluation and Prediction of an Optimal Control in a Processor Sharing Queueing System with Heterogeneous Servers
Efrosinin D., Rykov V., Stepanova N.
for optimal thresholds through artificial neural networks. The presented theoretical results are accompanied
Оценка эффективности средств обучения иноязычной устной речи, созданных при помощи нейросетей
ДРОЗДОВ Д.А.
The article considers the methods and possibilities of using neural networks to improve oral speech
Estimation of geomagnetic and solar indices by global ionospheric maps with use of neural networks
Khristoforov S., Bochkarev V.
using global ionospheric maps of the total electron content. A convolutional artificial neural network
Prediction of Concrete Compressive Strength Using a Back-Propagation Neural Network Optimized by a Genetic Algorithm and Response Surface Analysis Considering the Appearance of Aggregates and Curing Conditions
Reza Kashyzadeh Kazem, Amiri Nima, Ghorbani Siamak, Souri Kambiz
-propagation neural network (OBPNN) optimized by a genetic algorithm (GA) was used. The findings of this study
Combining simulated annealing and RBF networks for accurate volumetric fraction determination of two-phase flows
Mayet A.M., Alizadeh S.M., Gorelkina E.I., AlShaqsi J., Parayangat M., Raja M.R., Muqeet M.A., Mohammed S.A.
of this study is to use a Radial Basis Function (RBF) neural network developed through Simulated Annealing (SA

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