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Improvement of drought forecasting by means of various machine learning algorithms and wavelet transformation
Drought, which is defined as a decrease in average rainfall amounts, is one of the most insidious natural disasters. When it starts, people may not...
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Enhanced daily streamflow forecasting in Northeastern Algeria: integrating hybrid machine learning with advanced wavelet transformation techniques
The primary goal of this study is to devise robust models for analyzing daily streamflow time series across three distinct watersheds in northeastern...
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Analysis of Cosmic Ray Fluxes at Different Stations during Geomagnetic Storms using Wavelet Based Approaches: Continuous Wavelet Transform and Multi-Resolution Analysis
AbstractThis study investigated the impact of different types of geomagnetic storms on cosmic ray fluxes at different stations using various...
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Intelligent Wavelet Coefficients Thresholding: Speckle Reduction Approach in SAR Imagery
Synthetic aperture radar imagery contain valuable information that are used in most cases, in this regard reducing the pseudo-noise effect of speckle...
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Variability of Provincial Capital Rainfall in Pakistan Using Wavelet Transformation
This study is focused on the regional variation of rainfall (RF) in Pakistan using wavelet transformation. The RF variation in five regions of...
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Monthly rainfall forecasting by a hybrid neural network of discrete wavelet transformation and deep learning
Rainfall forecast is critical to the management and allocation of water resources. Deep learning is used to predict rainfall time series with high...
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Performance Comparison of Image Fusion Alternatives Combining PCA with Multi-resolution Wavelet Transforms
In the situations of image fusion between the panchromatic (PAN) and the multispectral (MS) image, it is an ideal thing to properly absorb the source...
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Performance Optimization of NavIC Receiver Using LabVIEW-Based Wavelet Denoising
Global Navigation Satellite System (GNSS) receivers perform many important signal-processing operations, among which signal acquisition is of great...
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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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Surface wave suppression through deformable convolutional wavelet transform network with residual dense blocks
Surface wave suppression plays a vital role in enhancing the quality of reflection seismic exploration. Convolutional neural networks (CNNs) can...
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WTCRNet: a wavelet transform and contrastive regularization network for sonar denoising by self-supervision
In the field of underwater acoustics, forward-looking sonar represents a pivotal tool for acquiring subaqueous imagery. However, this technique is...
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Recognition of Signals from Pulsed Sources Based on the Form of Wavelet Spectra Constructed by the Principal Component Method
AbstractA method for recognizing infrasound acoustic signals for two types of sources based on the analysis of the shape of their wavelet spectra is...
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Comparative Study of Different Discrete Wavelet Based Neural Network Models for long term Drought Forecasting
Recently, coupled Wavelet transform and Neural Networks models (WANN) were extensively used in hydrological drought forecasting, which is an...
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Recognition Method of Coal–Rock Reflection Spectrum Using Wavelet Scattering Transform and Bidirectional Long–Short-Term Memory
Classifying and recognizing the reflection spectrum of coal–rock is an innovative method for coal–rock identification in coal mining process. Herein,...
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A hybrid wavelet–machine learning model for qanat water flow prediction
In many parts of semiarid and arid regions, qanats are the leading supplier of water demand for agricultural and drinking usage. Qanat is an ancient...
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Semi-automated Rock Layer Recognition from Borehole Log Data Using Combined Wavelet and Fourier Transform: A Case Study in the KG basin, India
The accurate identification of rock layer interfaces from wireline logs is one of the crucial issue of geological interpretation as we face...
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Seasonal rainfall pattern using coupled neural network-wavelet technique of southern Uttarakhand, India
Hydrological data is crucial for accurate forecasting of precipitation which can be used for water resources planning and management. The purpose of...
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Analysis and synthesis of East Himalayan earthquakes using a hybrid wavelet synchrosqueezed transform
The work presented in paper is focussed on the development of an accurate time-frequency representation of accelerograms, representing the seismic...
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Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform
Recent meteorological, hydrological, and agricultural droughts in the Mediterranean regions have raised concerns about the impact of climate change....
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Estimation of Vertical Settlement of Earthen Dams Caused by Earthquake Using ANN Model and Wavelet-ANN Composition
In the present study, the estimation of vertical settlement of earthen dams caused by earthquakes has been investigated using an artificial neural...
