Results 21 to 30 of about 220,793 (302)
Sensors, 2019 Since second-order statistics-based methods rely heavily on Gaussianity assumption and fractional lower-order statistics-based methods depend on a priori knowledge of non-Gaussian noise, there remains a void in wideband bistatic multiple-input/multiple ...
Li Li, Nicolas H. Younan, Xiaofei Shi
doaj +1 more source
REAP-2: An interactive quantitative tool for robust and efficient dose-response curve estimation
Journal of Clinical and Translational Science, 2023 REAP-2 is an interactive dose-response curve estimation tool for Robust and Efficient Assessment of drug Potency. It provides user-friendly dose-response curve estimation for in vitro studies and conducts statistical testing for model comparisons with a ...
Xinying Fang +8 more
doaj +1 more source
Making Risk Minimization Tolerant to Label Noise [PDF]
, 2015 In many applications, the training data, from which one needs to learn a classifier, is corrupted with label noise. Many standard algorithms such as SVM perform poorly in presence of label noise.
Ghosh, Aritra +2 more
core +1 more source
Construction of Meyer Wavelet Using Fully Smooth Sigmiod Function
Journal of Harbin University of Science and Technology, 2019 In order to obtain better smooth effect in signal or image reconstruction, the regularity or continuous differentiability of wavelet must be increased as much as possible.
SHAO Yun-hong, DENG Cai-xia, HE Peng
doaj +1 more source
MATEC Web of Conferences, 2018 In order to solve the problem of obstacle avoidance of ship in restricted waters, a type of path planning method for obstacle avoidance based on sigmoid function was designed.
Zhao Yue +5 more
doaj +1 more source
IEEE Access, 2020 Since the existing terrain classification algorithm based on deep learning is not ideal for unbalanced PolSAR classification, a effective terrain classification algorithm based on wavelet kernel sparse deep coding network under unbalanced data set is ...
Xiangdong Chen, Jianghong Deng
doaj +1 more source
IEEE Access, 2020 A non-iterative learning algorithm for artificial neural networks is an alternative to optimize the neural network parameters with extremely fast convergence time.
Syukron Abu Ishaq Alfarozi +3 more
doaj +1 more source
Management of a Case of Colovesical Fistula with Fecaluria as First Sign [PDF]
, 2015 Introduction. Fecaluria and pneumaturia are the patognomonic signs of an abnormal communication between the bladder and the intestinal tract. Therefore, when a history of digestive signs, symptoms or digestive diseases is missing, this borderline ...
Andresanu, A. +9 more
core +2 more sources
Sigmoid neural transfer function realized by percolation
Optics Letters, 1996 An experiment using the phenomenon of percolation has been conducted to demonstrate the implementation of neural functionality (summing and sigmoid transfer). A simple analog approximation to digital percolation is implemented. The device consists of a piece of amorphous silicon with stochastic bit-stream optical inputs, in which a current percolating ...
Pignon, D. +6 more
openaire +3 more sources
Mass or heat transfer inside a spherical gas bubble at low to moderate Reynolds number [PDF]
, 2013 Mass (or heat) transfer inside a spherical gas bubble rising through a stationary liquid is investigated by direct numerical simulation. Simulations were carried out for bubble Reynolds number ranging from 0.1 to 100 and for Péclet numbers ranging from 1
Cockx, Arnaud +3 more
core +3 more sources