Results 21 to 30 of about 2,043,262 (319)
IEEE Access, 2020 Rotating machinery has been developed with high complexity and precision, and bearings and gears are crucial components in the machinery system. Deep learning has attracted considerable attention from researchers in this area.
Wei You +5 more
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IEEE Access, 2018 The development of wireless communication technologies will lead to an increase of rapid-time-variants featured occasions and physical occasions of small-data-size communication in network, and the modulation system diversification resulting from social ...
Xin Liu +3 more
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Some Intrinsic Properties of Tadmor–Tanner Functions: Related Problems and Possible Applications
Mathematics, 2020 In this paper, we study some properties of an exponentially optimal filter proposed by Tadmor and Tanner. More precisely, we consider the problem for approximating the function of rectangular type F(t) by the class of exponential functions σadapt(t ...
Nikolay Kyurkchiev
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Activation Functions: Dive into an optimal activation function
, 2022 Activation functions have come up as one of the essential components of neural networks. The choice of adequate activation function can impact the accuracy of these methods. In this study, we experiment for finding an optimal activation function by defining it as a weighted sum of existing activation functions and then further optimizing these weights ...
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CFTR activity and mitochondrial function
Redox Biology, 2013 Cystic Fibrosis (CF) is a frequent and lethal autosomal recessive disease, caused by mutations in the gene encoding the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR). Before the discovery of the CFTR gene, several hypotheses attempted to explain the etiology of this disease, including the possible role of a chloride channel, diverse ...
Tomás A. Santa-Coloma +2 more
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Hyperspectral Image Denoising With Dual Deep CNN
IEEE Access, 2019 A new hyperspectral image denoising algorithm, called the dual deep convolutional neural network (DD-CNN), is proposed in this paper. In contrast to internal denoising methods that utilize only the features from the target noisy image, the DD-CNN ...
Wei Shan +4 more
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Fabric Defect Detection Using Activation Layer Embedded Convolutional Neural Network
IEEE Access, 2019 Loom malfunctions are the main cause of faulty fabric production. A fabric inspection system is a specialized computer vision system used to detect fabric defects for quality assurance.
Wenbin Ouyang +3 more
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IEEE Access, 2019 The traditional edge detection-based shoreline extraction method is severely disturbed by noise, and it is difficult to obtain a continuous coastline.
Xiao-Ying Liu +4 more
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TanhSoft—Dynamic Trainable Activation Functions for Faster Learning and Better Performance
IEEE Access, 2021 Deep learning, at its core, contains functions that are the composition of a linear transformation with a nonlinear function known as the activation function.
Koushik Biswas +3 more
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DETECTION OF ATTACKS ON A COMPUTER NETWORK BASED ON THE USE OF NEURAL NETWORKS COMPLEX
Nauka ta progres transportu, 2020 Purpose. The article is aimed at the development of a methodology for detecting attacks on a computer network. To achieve this goal the following tasks were solved: to develop a methodology for detecting attacks on a computer network based on an ensemble
I. V. Zhukovyts'kyy +3 more
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