Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling
Remote Sensing, 2020 Noise removal is a fundamental problem in remote sensing image processing. Most existing methods, however, have not yet attained sufficient robustness in practice, due to more or less neglecting the intrinsic structures of remote sensing images and/or ...
Tian-Hui Ma, Zongben Xu, Deyu Meng
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Modelling and Evaluation of Noise Dispersion from Wind Turbine Operations
Civil and Environmental Engineering, 2023 All over the world, the need for energy is increasing, and the methods of obtaining it are harmful to the environment. Traditional energy resources are rapidly depleting.
Juodkiene Vytaute
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Energies, 2021 Determining the spatial position of wind turbines is the initial and most important phase in the development of a wind farm project. In this sensitive phase, all potential problems that may arise in the later stages of project development should be ...
Boško D. Josimović +2 more
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Reduced dimension modeling of leading edge turbulent interaction noise [PDF]
, 2014 A computational aeroacoustics approach is used to model the effects of real airfoil geometry on leading edge turbulent interaction noise for symmetric airfoils at zero angle of attack.
Zhang, Xin +7 more
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Modeling Noise in Paraphrase Detection
Proceedings of the Language Resources and Evaluation Conference, 2022 Peer ...
Sjöblom Eetu +3 more
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Are the comfort classes noise and vibration levels on board really suitable?
, 2021 In shipbuilding industry, comfort is a relevant issue both for crew members and passengers. A comfortable environment enables crew members to perform accurately their tasks and it is an effective factor contributing to the satisfaction of passengers ...
Flavia D'Agostin +2 more
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Noise Flow: Noise Modeling With Conditional Normalizing Flows [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Modeling and synthesizing image noise is an important aspect in many computer vision applications. The long-standing additive white Gaussian and heteroscedastic (signal-dependent) noise models widely used in the literature provide only a coarse approximation of real sensor noise.
Abdelrahman Abdelhamed +2 more
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Compact conversion and cyclostationary noise modelling of pn junction diodes in low-injection - Part II: Discussion [PDF]
, 2004 Starting from the compact conversion and cyclostationary pn diode noise model presented in the companion paper, we present an extensive validation based on comparisons with physics-based numerical simulations.
Bonani, Fabrizio +2 more
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Analysis of Noise Coupling From a Power Distribution Network to Signal Traces in High-Speed Multilayer Printed Circuit Boards [PDF]
, 2006 As layout density increases in highly integrated multilayer printed circuit boards (PCBs), the noise that exists in the power distribution network (PDN) is increasingly coupled to the signal traces, and precise modeling to describe the coupling ...
Baek, Seungyong +7 more
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Advances in Research on Low-dose CT Imaging Algorithm Based on Deep Learning
CT Lilun yu yingyong yanjiu, 2022 Computed tomography (CT) is widely used in clinical diagnosis because of its fast imaging speed and high resolution. However, higher doses of radiation will cause damages to human tissues and organs, while lower doses will lead to serious deterioration ...
Zefang HAN +6 more
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