Using analytical methods for finding the approximate solutions to fractional differential equations by Reza Iranmanesh, Seyedeh Fatemeh Shahabi Takami, Zarindokht Helforoush, Nabaa Muhammad Diaa, Yaghub Safari, Pooya Pasha, As'ad Alizadeh, Hussein Zekri

“…Ordinary equations and fractional differential equations have connections to entropy, wavelets, and other related concepts. To demonstrate the method, a few examples are employed, chosen for their accuracy and simplicity of implementation. …”
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A preliminary analysis of flat-gravel transport over a Sandy Beach, Pehuén Co, Argentina by Gerardo M.E. Perillo, Mauricio M. Perillo, M. Cintia Piccolo, G. Noelia Revollo Sarmiento, Natalia V. Revollo Sarmiento, Ernesto D. Alberdi

“…Video films where rectified and analyzed using PIV and wavelets. Based on the results, we demonstrated that flat gravels can be easily transported upbeach distances in excess of 5 m in about 1.5 h. …”
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A preliminary analysis of flat-gravel transport over a sandy beach, Pehuén Co, Argentina by Gerardo M.E. Perillo, Mauricio M. Perillo, M. Cintia Piccolo, G. Noelia Revollo Sarmiento, Natalia V. Revollo Sarmiento, Ernesto D. Alberdi

“…Video films where rectified and analyzed using PIV and wavelets. Based on the results, we demonstrated that flat gravels can be easily transported upbeach distances in excess of 5 m in about 1.5 h. …”
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Adaptive angle and parallel multigrid for deterministic shielding problems by Dargaville Steven, Buchan Andrew, Smedley-Stevenson Richard, Smith Paul, Pain Chris

“…These approaches enables the use of traditional angular discretisations like Pn, Sn, along with new approaches based on linear and haar wavelets. We can use these angular discretisations to perform regular and goal-based anisotropic adaptivity in angle, focusing resolution in important directions. …”
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Detection of Wheel Polygonization Based on Wayside Monitoring and Artificial Intelligence by António Guedes, Ruben Silva, Diogo Ribeiro, Cecília Vale, Araliya Mosleh, Pedro Montenegro, Andreia Meixedo

“…This study, which considers an unsupervised methodology, aims to compare the performance of two feature extraction techniques, namely the Autoregressive Exogenous (ARX) model and Continuous Wavelets Transform (CWT). The extracted features are then submitted to data normalization considering the Principal Component Analysis (PCA) applied to suppress environmental and operational effects. …”
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A preliminary analysis of flat-gravel transport over a sandy beach, Pehuén Co, Argentina by Gerardo M.E. Perillo, Mauricio M. Perillo, M. Cintia Piccolo, G. Noelia Revollo Sarmiento, Natalia V. Revollo Sarmiento, Ernesto D. Alberdi

“…Video films where rectified and analyzed using PIV and wavelets. Based on the results, we demonstrated that flat gravels can be easily transported upbeach distances in excess of 5 m in about 1.5 h. …”
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A meshless hierarchical representation for light transport by Lehtinen, Jaakko, Zwicker, Matthias, Turquin, Emmanuel, Kontkanen, Janne, Aila, Timo, Durand, Fredo, Sillion, Francois X.

“…Hierarchical bases like wavelets lead to dramatic acceleration, but in their basic form they work well only on flat or smooth surfaces. …”
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Time-frequency signal analysis in machinery fault diagnosis: review by Hui, K. H., Hee, Lim Meng, Leong, Mohd. Salman, Abdelrhman, Ahmed M.

“…Common time-frequency signal analysis methods are such as short time Fourier transform (STFT), wavelets analysis, empirical mode decomposition (EMD), Hilbert-Huang transform (HHT), etc. …”

Time-frequency signal analysis in machinery fault diagnosis: review by Hui, K. H., Hee, Lim Meng, Leong, Mohd. Salman, Abdelrhman, Ahmed M.

“…Common time-frequency signal analysis methods are such as short time Fourier transform (STFT), wavelets analysis, empirical mode decomposition (EMD), Hilbert-Huang transform (HHT), etc. …”

Unsupervised feature learning improves prediction of human brain activity in response to natural images. by Umut Güçlü, Marcel A J van Gerven

“…We show that statistically adapted low-level sparse and invariant representations of natural images better span the space of early visual cortical representations and can be more effectively exploited in stimulus identification than hand-designed Gabor wavelets. Our results demonstrate the potential of our approach to better probe unknown cortical representations.…”
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Multi-periodic climate dynamics: spectral analysis of long-term instrumental and proxy temperature records by H.-J. Lüdecke, A. Hempelmann, C. O. Weiss

“…We used the mean of the six instrumental records for analysis by discrete Fourier transform (DFT), wavelets, and the detrended fluctuation analysis (DFA). …”
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Arabic Word Recognition Based on 3D Radon and Multiwavelet Neural Network by Tarik Zeyad Ismaeel

“…Success theory of Multiwavenets has been generalized by extension to biorthogonal wavelets which lead to identification system development. …”
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Magnetic and Electromagnetic signals related to tectonic activity: updates and new analyses on measurements in Central Italy by D. Di Mauro, S. Lepidi, A. Meloni, P. Palangio

“…</p><p style='line-height: 20px;'> Some tentative analysis (in the wavelets and statistical approach) on the historical and recent dataset allow a better characterization of electromagnetic properties of the study area, at different temporal and spatial scales.…”
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Application of a simplified methodology to estimate reservoir capacity curves by Santiago A. Ochoa-García

“…In addition, an analysis based on wavelets curves was applied to the digital elevation models obtained from LiDAR techniques and bathymetric echo sounder to demonstrate the sedimentation processes that occur in this body of regulation.…”
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Orthogonal Franklin system and orthogonal system of finite functions in numerical methods of boundary problems solving by Victor L Leontiev

“…The orthogonal Daubechies wavelets have compact supports, but is not written in analytical form and have low smoothness. …”
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Receptive field structures for recognition by Balas, Benjamin, Sinha, Pawan

“…Localized operators, like Gabor wavelets and difference-of-Gaussian filters, are considered to be useful tools for image representation. …”
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Instructional shake table for demonstrations in structural dynamics by Baig, Muhammed Ali Ifran, 1976-

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A differential evolution approach to noise reduction in biomedical images by Gupta, Vikas

“…A novel noise reduction method based on wavelets and differential evolution has been proposed in this work. …”
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Classification with bayesian MARS by Holmes, C, Denison, D

“…Our methods are generic and can be applied to any basis function model including, wavelets, artificial neural nets and radial basis functions. …”

Multi-scale statistics of turbulence motorized by active matter by Urzay, J, Doostmohammadi, A, Yeomans, J

“…A scale-dependent intermittency analysis is performed using wavelets. The results demonstrate fundamental differences between active and high-Reynolds number turbulence; for instance, the intermittency is smaller and less energetic in active flows, and the work of the active stress is spectrally exerted near the integral scales and dissipated mostly locally by viscosity, with convection playing a minor role in momentum transport across scales.…”