Results 21 to 30 of about 401,434 (267)
Recognition of Ultrasound Images of Breast Cancer Based on Discrete Sinc Transform and Deep Learning [PDF]
Egyptian Journal of Cancer and Biomedical Research, 2022 Background: : The most common cause of cancer-related death among women all over the world is breast cancer. Altough ultrasound emaging I useful in diagnosis of the patients, itsaccuracy needs more improvement.
Mohamed Azmy
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Seasonal Time Series Forecasting by F1-Fuzzy Transform
Sensors, 2019 We present a new seasonal forecasting method based on F1-transform (fuzzy transform of order 1) applied on weather datasets. The objective of this research is to improve the performances of the fuzzy transform-based prediction method applied to seasonal ...
Ferdinando Di Martino, Salvatore Sessa
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Deep Learning and Higher Degree F-Transforms: Interpretable Kernels Before and After Learning
International Journal of Computational Intelligence Systems, 2020 One of the current trends in the deep neural network technology consists in allowing a man–machine interaction and providing an explanation of network design and learning principles. In this direction, an experience with fuzzy systems is of great support.
Vojtech Molek, Irina Perfilieva
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Some uniqueness theorems for a conical Radon transform
Journal of Physics Communications, 2023 The conical Radon transform, which assigns to a given function f on ${{\mathbb{R}}}^{3}$ its integrals over conical surfaces, arises in several imaging techniques, e.g. in astronomy and homeland security, especially when the so-called Compton cameras are
Sunghwan Moon
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Noise Suppression of Distributed Acoustic Sensing Based on
IEEE Photonics Journal, 2020 A noise suppression method based on f-x deconvolution and the wavelet transform is proposed for eliminating jump edges in the phase noise of distributed acoustic sensing. Experimental results show that the proposed method has good performance in terms of
Wenhui Sun +4 more
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Applied Food ResearchOhmic heating (OH) involves application of an electric field to a conductive material, causing internal heat generation through resistance. This technology offers novel possibilities for the food industry, yet, its application within the baking industry ...
Eugenia Ayebea Asamoah +5 more
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On the class of uncertainty inequalities for the coupled fractional Fourier transform
Journal of Inequalities and Applications, 2022 The coupled fractional Fourier transform F α , β $\mathcal {F}_{\alpha ,\beta}$ is a two-dimensional fractional Fourier transform depending on two angles α and β, which are coupled in such a way that the transform parameters are γ = ( α + β ) / 2 $\gamma
Firdous A. Shah +3 more
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Spectral denoising based on Hilbert–Huang transform combined with F-test
Frontiers in Chemistry, 2022 Due to the influence of uncontrollable factors such as the environment and instruments, noise is unavoidable in a spectral signal, which may affect the spectral resolution and analysis result.
Xihui Bian +8 more
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Hybrid Fuzzy Regression Analysis Using the F-Transform
Applied Sciences, 2020 This paper proposes a hybrid estimation algorithm for independently estimating the response function for the center and the response function for the spread in fuzzy regression model.
Hye-Young Jung +2 more
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A Note on Directional Wavelet Transform: Distributional Boundary Values and Analytic Wavefront Sets
International Journal of Mathematics and Mathematical Sciences, 2012 By using a particular class of directional wavelets (namely, the conical wavelets, which are wavelets strictly supported in a proper convex cone in the k-space of frequencies), in this paper, it is shown that a tempered distribution is obtained as a ...
Felipe A. Apolonio +2 more
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