Results 21 to 30 of about 99,944 (264)
Realistic leaf models are significant for numerous applications in the plant sciences, for instance, modelling pesticide droplet movement on the leaf surface.
Moa’ath N. Oqielat
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TEXT CLASSIFICATION BASED ON FUZZY RADIAL BASIS FUNCTION
Automated classification of text into predefined categories has always been considered as a vital method in the natural language processing field. In this paper new methods based on Radial Basis Function (RBF) and Fuzzy Radial Basis Function (FRBF) are ...
Zuhair Ali
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On Spherical Averages of Radial Basis Functions [PDF]
First of all the author proves that the spherical average operator \(A,\) \[ Af(x)=\int_{S^{d-1}}f(\| x\|\theta)d\mu(\theta),\quad x\in\mathbb R^d, \] (where \(\|\cdot\|\) denotes the Euclidean norm and \(\mu\) is the probability \((d-1)\)-dimensional Lebesgue measure on the unit sphere \((S^{d-1})\) and the Fourier transform operator \(F\) commute ...
openaire +2 more sources
Chess Position Evaluation Using Radial Basis Function Neural Networks
The game of chess is the most widely examined game in the field of artificial intelligence and machine learning. In this work, we propose a new method for obtaining the evaluation of a chess position without using tree search and examining each candidate
Dimitrios Kagkas +2 more
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Snow cover thickness estimation using radial basis function networks [PDF]
This paper reports an experimental study designed for the in-depth investigation of how the radial basis function network (RBFN) estimates snow cover thickness as a function of climate and topographic parameters.
E. Binaghi +3 more
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An Improved Radial Basis Function Interpolation Method in Unstructured Nested Grids
The unstructured hybrid grid has complex topological relation, and is easy to generate the accuracy loss in nested grid while performing the flow field information interpolation.
Jin Chenhui +3 more
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Gaussian Radial Basis Function interpolation in vertical deformation analysis
In many deformation analyses, the partial derivatives at the interpolated scattered data points are required. In this paper, the Gaussian Radial Basis Functions (GRBF) is proposed for the interpolation and differentiation of the scattered data in the ...
Mohammad Amin Khalili, Behzad Voosoghi
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ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
wiley +1 more source
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source
Metamodels in lieu of time-demanding performance functions can accelerate the reliability analysis effectively. In this paper, we propose an efficient collaborative active learning strategy-based augmented radial basis function metamodel (CAL-ARBF), for ...
Yanxu Wei, Guangchen Bai, Lu-Kai Song
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