نتایج جستجو برای: wavelet analyses
تعداد نتایج: 422507 فیلتر نتایج به سال:
awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. therefore, the present study two hybrid models, wavelet- adaptive neural fuzzy interference system (wanfis) and wavelet- artificial neural network (wann) are used for flow prediction of gamasyab river (nahavand, hamedan, iran...
We show that there are no biorthogonal pairs of divergence-free multi-wavelet families on R n , having any regularity, such that both biorthog-onal families have compactly supported, divergence-free generators. This main result generalizes Lemari e's bivariate result. In particular, our method is based on vector-valued multiresolution analyses.
Background: Human skin more than any other part of the body, is exposed to the risks of diseases and complications of labor. One of the applications of study on the relationship between skin and diseases is use of fingerprints in the diagnosis and the subsequent treatment of it. We analyzed the fingerprint images of two systematic diseases namely diabetes and addiction. Methods: The f...
Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...
This paper explains new imaging techniques that show promising results in breast cancer detection. The presented techniques use microwave-based methods, wavelet analyses, and neural networks to get a suitable resolution for the breast image. One of the presented techniques (hybrid method) uses a combination of microwaves and acoustic signals to improve the detection capability. Some promising r...
SUMMARY VeriScan is a software package for the analysis of DNA sequence polymorphisms at the whole genome scale. Among other features, the software (1) can conduct many population genetic analyses; (2) incorporates a multiresolution wavelet transform-based method that allows capturing relevant information from DNA polymorphism data; (3) facilitates the visualization of the results in the most c...
Abstract. On 4 March 2021, two tsunamigenic earthquakes (Mw 7.4 and Mw 8.1) occurred successively within 2 h in the Kermadec Islands, offshore New Zealand. We examined sea level records at tide gauges located ?100 to ?2000 km from epicenters, conducted Fourier wavelet analyses as well numerical modeling of both tsunamis. indicated that energy first tsunami is mainly distributed over period rang...
Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...
With the development of the technology and increase of human dependency on structures, healthy structures play an important role in people lives and communications. Hence, structural health monitoring has been attracted strongly in recent decades. Improvement of measuring instruments made signal processing as a powerful tool in structural heath monitoring. Wavelet transform invention causes a g...
Imperfectly expanded jet flows are known to have additional noise sources as Screech and broadband shock-associated noise. They generated by the interaction between instability waves that propagate from lip of nozzle shock cell structures. In this study, thorough experimental investigations were carried out on chevron nozzles assess importance parameters such count penetration angle pressure fi...
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