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Ambient VLF Noise Levels in the Lower Latitude Region
In this study, the ambient Very Low Frequency (VLF) noise was characterized for a part of tropical of the cancer region above Indonesia longitude...
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Estimation of Specific Cutting Energy and Noise Level in Circular Saw Cutting Process by Leeb, Shore and Schmidt Hardness Values of Rocks
AbstractIn this study, the rebound hardness values (Shore–Schmidt–Leeb) were calculated for 12 different carbonate rocks using three different...
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Orbital pacing and secular evolution of lake-level changes reconstructed by sedimentary noise modeling during the Early Jurassic icehouses-(super)greenhouses
Lake-level changes can significantly affect paleoenvironmental evolution, resource occurrence, terrestrial carbon budget, and biodiversity in...
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Astronomical forcing and sedimentary noise modeling of lake-level changes in the Middle Eocene Chezhen Sag, Bohai Bay Basin, eastern China
The accurate determination of geological age is a key to understanding the history and process of paleolake evolution and oil and gas exploration in...
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Solar Flares, Strong Magnetic Storms, and Variations in the Level of Seismic Noise in the Northern Tien Shan
AbstractThe relationship between strong magnetic storms caused by X-class solar flares in solar cycles 23 and 24 and seismicity variations (seismic...
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Crustal thickening in northern Yunnan, SE Tibet, linked to the control of the regional abyssal faults on mid-lower crustal flow: evidence from ambient noise tomography
It is generally recognized that the crustal flow in the Yunnan region is attributed to the continental collision between the Indian and Eurasian...
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Low-noise, low-power-consumption seafloor vector magnetometer
The seafloor vector magnetometer is an effective tool for marine geomagnetic surveys and seafloor magnetotelluric (MT) detection. However, the noise,...
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Suppression of seismic random noise by deep learning combined with stationary wavelet packet transform
Many traditional denoising methods, such as Gaussian filtering, tend to blur and lose details or edge information while reducing noise. The...
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Ambient noise multimode surface wave tomography
Seismic techniques using earthquakes are powerful tools for exploring the Earth’s internal structure. However, the earthquake distribution limits the...
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A modeling approach for suitability evaluation of traffic noise prediction under mixed traffic situation in mid-sized Indian cities
An efficient traffic noise prediction model is a decision-making tool for creating a peaceful environment. Despite the escalating concerns regarding...
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Estimating process noise variance of PPP-RTK corrections: a means for sensing the ionospheric time-variability
The provision of accurate ionospheric corrections in PPP-RTK enormously improves the performance of single-receiver user integer ambiguity resolution...
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Linear regression model for noise pollution over central Delhi to highlight the alarming threat for the environment
Noise pollution is the most ignored and underappreciated problem in the world. Even though scientists all over the world have done a lot of research...
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Anatomy of the spatiotemporally correlated noise in GNSS station position time series
Global Navigation Satellite Systems (GNSS) enable the determination of station displacements, which are essential to understanding geophysical...
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Seismic noise between 0.003 Hz and 1.0 Hz and its classification
It is now established that the primary microseism, the secondary microseisms, and the hum are the three main components of seismic noise in the...
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Evaluation of the Hyderabad network’s broadband seismic stations for characterizing ambient noise in the Eastern Dharwar Craton, southern India
AbstractThe ambient noise analysis was performed at ten installed broadband seismic stations of the Eastern Dharwar Craton in Telangana state, India....
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Automatic Removal of Low Frequency Noise from Seismograms Using the Fingerprinting Method: Algorithms, Properties, Limitations
AbstractThis paper describes a new method for automatic preparation of a noisy seismic record for further analysis using expert information systems....
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A diffusion model-based framework USDDM for random noise elimination of seismic signal
Seismic data acquired in seismic exploration is often contaminated by random noise, and it is necessary to develop effective seismic data denoising...
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GNSS water vapor tomography based on Kalman filter with optimized noise covariance
GNSS water vapor tomography has emerged as a prominent technique for obtaining the three-dimensional distribution of atmospheric water vapor. It...
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Attention mechanism-based deep denoiser for desert seismic random noise suppression
Seismic data collected from desert areas contain a large amount of low-frequency random noise with similar waveforms to the effective signals. The...
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Adaptive time-reassigned synchrosqueezing transform for seismic random noise suppression
Noise suppression is of great importance to seismic data analysis, processing and interpretation. Random noise always overlaps seismic reflections...
