Results 231 to 240 of about 6,927,747 (289)

Effects of Noise Reduction on the Physical and Mental State of Patients with Lumbar Disc Herniation in an Orthopedic Outpatient Clinic.

Noise Health
Wang B, Shu C, Bai L.
europepmc   +1 more source

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Acoustic Metamaterials for Noise Reduction: A Review

Advanced Materials & Technologies, 2022
Noise pollution has become a significant global problem in recent years. Unfortunately, conventional acoustic materials cannot offer substantial improvements in noise reduction.
Nansha Gao, Zhicheng Zhang, Jie Deng, Xinyu Guo, Baozhu Cheng, H. Hou   +5 more
semanticscholar   +1 more source

CT Noise-Reduction Methods for Lower-Dose Scanning: Strengths and Weaknesses of Iterative Reconstruction Algorithms and New Techniques.

Radiographics, 2021
Iterative reconstruction (IR) algorithms are the most widely used CT noise-reduction method to improve image quality and have greatly facilitated radiation dose reduction within the radiology community.
P. Mohammadinejad, A. Mileto, Lifeng Yu, S. Leng, Luis S Guimaraes, A. Missert, C. Jensen, H. Gong, C. McCollough, J. Fletcher   +9 more
semanticscholar   +1 more source

A noise reduction method based on adaptive weighted symplectic geometry decomposition and its application in early gear fault diagnosis

, 2021
When the gear appears early fault, it will be accompanied by strong background noise, and the fault information is weak. Therefore, the result of noise reduction often determines whether the early gear fault can be accurately diagnosed.
Jian Cheng, Yu Yang, N. Hu, Zhe Cheng, Junsheng Cheng   +4 more
semanticscholar   +1 more source

Noise reduction technologies for aircraft landing gear-A bibliographic review

, 2020
As a main contributor to aircraft noise at approach to landing, landing gear noise is currently a major research interest amongst aeronautical engineers and aeroacoustic researchers.
Kun Zhao, P. Okolo, E. Neri, Peng Chen, J. Kennedy, G. Bennett   +5 more
semanticscholar   +1 more source

Hyperspectral Mixed Gaussian and Sparse Noise Reduction

IEEE Geoscience and Remote Sensing Letters, 2020
Hyperspectral images (HSIs) are often degraded by different noise types such as Gaussian and sparse noise. In this letter, a hyperspectral mixed Gaussian and sparse noise reduction technique, the HyMiNoR, is proposed.
Behnood Rasti, Pedram Ghamisi, J. Benediktsson   +2 more
semanticscholar   +1 more source

Underwater radiated noise reduction technology using sawtooth duct for pumpjet propulsor

Ocean Engineering, 2019
Marine Environmental Protection Committee (MEPC) and other organizations have made calls to develop regulations for limiting noise levels at sea. The propeller noise plays an important role in underwater radiated noise.
Denghui Qin, G. Pan, Seongkyu Lee, Qiaogao Huang, Yaoyao Shi   +4 more
semanticscholar   +1 more source

Noise reduction in the spectral domain of hyperspectral images using denoising autoencoder methods

, 2020
Denoising of spectra has been a great challenge in hyperspectral image analysis. Near-infrared hyperspectral images of milk powder, rice flour and soybean flour were acquired and denoising in the spectral domain were studied.
Chu Zhang, Lei Zhou, Yiying Zhao, Susu Zhu, Fei Liu, Yong He   +5 more
semanticscholar   +1 more source

A Survey of Active EMI Filters for Conducted EMI Noise Reduction in Power Electronic Converters

IEEE transactions on electromagnetic compatibility (Print), 2019
Wide bandgap devices enable high power density power converters. Despite the advantages of increased switching frequency, the passive components are still a major bottleneck toward enabling high power density.
B. Narayanasamy, F. Luo
semanticscholar   +1 more source

Numerical investigation on noise reduction mechanism of serrated trailing edge installed on a pump-jet duct

Ocean Engineering, 2019
For ships, the stealth performance is an important indicator of its vitality. It is extremely important to study the noise reduction of ship propulsions. In this work, pump-jet propulsion with a DARPA Suboff submarine was taken as the investigated object.
Yu Sun, Wei Liu, Tian Li
semanticscholar   +1 more source