Results 121 to 130 of about 197,948 (294)
Applied Water ScienceVarious critical applications, spanning from watershed management to agricultural planning and ecological sustainability, hinge upon the accurate prediction of reference evapotranspiration (ETo).
Ahmed Elbeltagi +5 more
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Evaluating Pavement Cracks with Bidimensional Empirical Mode Decomposition
EURASIP Journal on Advances in Signal Processing, 2008 Crack evaluation is essential for effective classification of pavement cracks. Digital images of pavement cracks have been analyzed using techniques such as fuzzy set theory and neural networks.
Nii Attoh-Okine, Albert Ayenu-Prah
doaj +1 more source
Advanced Science, EarlyView.This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair +4 more
wiley +1 more source
Discover GeoscienceThis study presents a comparative framework for seismic signal classification based on adaptive decomposition and Hilbert spectral analysis. A self-recorded vibration dataset containing approximately 4,500 one-second segments of pedestrian, bicycle, and ...
Abdul Moiz +4 more
doaj +1 more source
Journal of AgrometeorologyEffective pest management relies on early and accurate forecasting, yet current models struggle to capture regional specific complex relationship between weather conditions and pest incidence.
N. NARANAMMAL +2 more
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Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
A Multicomponent Proximal Algorithm For Empirical Mode Decomposition
, 2012 Publication in the conference proceedings of EUSIPCO, Bucharest, Romania ...
Pustelnik, Nelly +2 more
openaire +4 more sources
Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement
Advanced Science, EarlyView.The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang +7 more
wiley +1 more source
Entropic Empirical Mode Decomposition
, 2015 Empirical Mode Decomposition(EMD) is an adaptive data analysis technique for analyzing nonlinear and nonstationary data[1]. EMD decomposes the original data into a number of Intrinsic Mode Functions(IMFs)[1] for giving better physical insight of the data.
Ram, Sumit Kumar, Molinas, Marta
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Advanced Science, EarlyView.ABSTRACT Periodontitis, a chronic inflammatory disease initiated and sustained by plaque microorganisms and host immune response, remains an intractable oral disease and a leading cause of tooth loss worldwide. Traditional mechanical debridement and adjunctive antibiotic or antiseptic therapy often shows limited efficacy due to the complex anatomical ...
Weiyu Zhang +12 more
wiley +1 more source