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По вашему запросу найдено документов: 13579

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Neurotransmitters Level Detection Based on Human Bio-Signals, Measured in Virtual Environments

Kugurakova V., Ayazgulova K.

emotion by measuring the human bio-signals: heart rate, electroencephalogram (EEG), blood volume pressure

An automated approach for creating multiplayer simulators in virtual reality

Bio-neural signal

Even Simpler Real-Time Model of Neuron: Simplified Model of Neuron for Real-Time Simulation of Bio-Compatible Neuronal Response

Leukhin A., Talanov M., Suleimanova A., Toschev A., Lavrov I.

to the creation and comparison of the simplified model of a neuron for the real-time processing in embedded bio

Speech Signal Processing using Pulse Coupled Neural Network

Jurečka, M., Šarkan, B.

This paper presents results obtained from the analysis of Pulse Coupled Neural Network (PCNN

Assessment of technical condition of polyurethane foam thermal insulation pipelines of heating networks using neural network technologies

of research using acoustic methods, using neural network technologies to process acoustic signals. The article

Mobile smart helmet for brain stroke early detection through neural network-based signals analysis

Bisio I., Fedeli A., Lavagetto F., Pastorino M., Randazzo A., Sciarrone A., Tavanti E.

field inversion problem and image analysis, the proposal of this paper is an NN-based SH. It uses signal

Artificial neural networks in digital antenna arrays

Kondratieva S., Ovchinnikova E., Shmachilin P., Anosova N.

The possibility of using a multilayer neural network of direct distribution in the basis of a beam

Neuron Network Approach to the Solution of the Medical-Psychological Problems and in Diagnosis Process of Persons with Disabilities (Literature Review)

Reznichenko, Natalia S., Shilov, Sergei N., Abdulkin, Vyacheslav V., Резниченко, Н.С., Шилов, С.Н., Абдулкин, В.В.

. Therefore, special importance is the theory of neural networks and its application to the automation

Классификация сигналов с использованием технологии нейронных сетей

Сторожок, Е. А., Дорофеев, Г. В., Стародубцев, П. А., Storozhok, Eugenii A., Dorofeev, Grigorii V., Starodubtsev, Pavel A.

. The article considers the possibility of solving the problem of signal classification using neural network

Sound Signal Invariant DAE Neural Network-Based Quantizer Architecture of Audio/Speech Coder Using the Matching Pursuit Algorithm

Avramov, V. V., Herasimovich, V., Petrovsky, A. A., Аврамов, В. В., Герасимович, В. Ю., Петровский, А. А.

The paper is devoted to the quantization algorithm development based on the neural networks

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