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Profiling of Urban Noise Using Artificial Intelligence

Computer Systems Science and Engineering, 2023
La contaminación acústica tiende a recibir menos conciencia en comparación con otros tipos de contaminación, sin embargo, afecta en gran medida la calidad de vida de los seres humanos, como causar trastornos del sueño, estrés o discapacidad auditiva. El perfil del sonido urbano a través de la identificación de fuentes de ruido en las ciudades podría ...
Le Quang Thao   +3 more
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Noise-attenuation in artificial genetic networks

Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003, 2004
Dynamics of gene expressions is quite noisy because of intrinsic noise originated from the smallness of the number of related molecules. Noise-attenuation and system-stabilization in artificial genetic networks are important problems for various applications in engineering and medical areas.
Y. Morishita, K. Aihara
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Artificial Noise in Adaptive Arrays

IEEE Transactions on Aerospace and Electronic Systems, 1978
"Artificial noise," or the connection of feedback paths around the the integrators, is shown to be an effective method of dealing with the problem of multiplier offsets in adaptive antennas. This probl which was analyzed by Compton [1] is particularly troubles when the covariance matrix is singular or nearly so.
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Reducing noise in photoamplifier circuits with low noise artificial resistors

Journal of Applied Physics, 1982
A standard passive dissipative resistor in a photodiode circuit is replaced by a low-noise active artificial resistor. A room-temperature artificial resistor acts on a signal current from the photodiode in the same manner as the resistor, but the self-generated noise of the artificial resistor is that of a resistor at cryogenic temperatures. Because of
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CRYOGENIC HEMT NOISE MODELING BY ARTIFICIAL NEURAL NETWORKS

Fluctuation and Noise Letters, 2005
In this paper we report the development of an artificial neural network to extract a 17-element small-signal circuit model of high electron mobility transistors (HEMTs) and one associated noise temperature value. By this procedure, we are able to reproduce the small-signal and noise performance of several device types from only one measured scattering
CADDEMI, Alina   +2 more
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Artificial Neural Network Military Impulse Noise Classifier

Noise Control and Acoustics, 2006
Civilian noise complaints and damage claims have created the need for stations to monitor the production of military impulse noise. However, these stations suffer from numerous false positive detections (due to wind noise) of impulse events and often miss many events of interest.
Brian Bucci, Jeffrey Vipperman
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Pattern noise prediction using Artificial Neural Network

AHFE International, 2022
In early design stage of tire pattern, it is very useful to predict noise level associated with tire pattern. Artificial neural network (ANN) was used for development of the model for the prediction of tire pattern noise recently. The ANN used supervised training method which extracts the feature applying Gaussian curve fitting to the tread profile ...
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Secure Spatial Modulation Based on Artificial Noise

2018 IEEE/CIC International Conference on Communications in China (ICCC), 2018
A secure spatial modulation based on artificial noise (AN-SM) is proposed. Different from the traditional spatial modulation schemes, the legitimate channel state information is utilized to convey part of information bits instead of amplitude phase modulation (APM) constellation.
Peng Zhang, Shuangshuang Han
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Modeling Environmental Noise Using Artificial Neural Networks

2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009
Since 1972, when the World Health Organization (WHO) classified noise as a pollutant, most industrialized countries have enacted laws or local regulations that regulate noise levels. Many scientists have tried to model urban noise, but the results have not been as good as expected because of the reduced number of variables.
N. Genaro   +5 more
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Single image noise level estimation by artificial noise

Signal Processing, 2023
Fang Li   +3 more
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