AIMC Topic: Noise

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A Novel Anti-Noise Fault Diagnosis Approach for Rolling Bearings Based on Convolutional Neural Network Fusing Frequency Domain Feature Matching Algorithm.

Sensors (Basel, Switzerland) Aug 17, 2021
The development of deep learning provides a new research method for fault diagnosis. However, in the industrial field, the labeled samples are insufficient and the noise interference is strong so that raw data obtained by the sensor are occupied with...
Noise Signal-To-Noise Ratio Neural Networks, Computer Algorithms
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Low-Light Image Enhancement Based on Multi-Path Interaction.

Sensors (Basel, Switzerland) Jul 22, 2021
Due to the non-uniform illumination conditions, images captured by sensors often suffer from uneven brightness, low contrast and noise. In order to improve the quality of the image, in this paper, a multi-path interaction network is proposed to enhan...
Noise Lighting Image Enhancement Neural Networks, Computer Image Processing, Computer-Assisted
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Micro-CT image denoising with an asymmetric perceptual convolutional network.

Physics in medicine and biology Jul 2, 2021
Micro-CT has important applications in biomedical research due to its ability to perform high-precision 3D imaging of micro-architecture in a non-invasive way. Because of the limited power of the radiation source, it is difficult to obtain a high sig...
Signal-To-Noise Ratio X-Ray Microtomography Image Processing, Computer-Assisted Noise Neural Networks, Computer
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Deep neural network-based generalized sidelobe canceller for dual-channel far-field speech recognition.

Neural networks : the official journal of the International Neural Network Society Apr 19, 2021
The traditional generalized sidelobe canceller (GSC) is a common speech enhancement front end to improve the noise robustness of automatic speech recognition (ASR) systems in the far-field cases. However, the traditional GSC is optimized based on the...
Noise Speech Recognition Software Deep Learning Speech Humans
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Deep ANC: A deep learning approach to active noise control.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2021
Traditional active noise control (ANC) methods are based on adaptive signal processing with the least mean square algorithm as the foundation. They are linear systems and do not perform satisfactorily in the presence of nonlinear distortions. In this...
Speech Noise Humans Deep Learning Least-Squares Analysis Signal Processing, Computer-Assisted
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Speaker recognition based on deep learning: An overview.

Neural networks : the official journal of the International Neural Network Society Mar 17, 2021
Speaker recognition is a task of identifying persons from their voices. Recently, deep learning has dramatically revolutionized speaker recognition. However, there is lack of comprehensive reviews on the exciting progress. In this paper, we review se...
Deep Learning Noise Speech Recognition Software
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Introducing Swish and Parallelized Blind Removal Improves the Performance of a Convolutional Neural Network in Denoising MR Images.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Feb 11, 2021
PURPOSE: To improve the performance of a denoising convolutional neural network (DnCNN) and to make it applicable to images with inhomogeneous noise, a refinement involving an activation function (AF) and an application of the refined method for inho...
Noise Signal-To-Noise Ratio Neural Networks, Computer Image Processing, Computer-Assisted
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Preictal state detection using prodromal symptoms: A machine learning approach.

Epilepsia Jan 19, 2021
A reliable identification of a high-risk state for upcoming seizures may allow for preemptive treatment and improve the quality of patients' lives. We evaluated the ability of prodromal symptoms to predict preictal states using a machine learning (ML...
Electroencephalography Seizures Attention Young Adult Reading Noise Adult Area Under Curve Drug Resistant Epilepsy Video Recording Machine Learning Support Vector Machine Prodromal Symptoms Comprehension Female Humans Speech Vision Disorders Photophobia Hearing Loss Tinnitus Surveys and Questionnaires Male Middle Aged Affect
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Inter-floor noise classification using convolutional neural network.

PloS one Dec 22, 2020
In apartment houses, noise between floors can disturb pleasant living environments and cause disputes between neighbors. As a means of resolving disputes caused by inter-floor noise, noises are recorded for 24 hours in a household to verify whether t...
Floors and Floorcoverings Neural Networks, Computer Noise
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Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence.

Sensors (Basel, Switzerland) Dec 19, 2020
Assessing the health condition has a wide range of applications in healthcare, military, aerospace, and industrial fields. Nevertheless, traditional feature-engineered techniques involve manual feature extraction, which are too cumbersome to adapt to...
Machine Learning Humans Noise Diagnosis, Computer-Assisted
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