Results 31 to 40 of about 5,267,034 (238)
Aerial Image Semantic Classification Method Based on Improved Full Convolution Neural Network [PDF]
The existing Convolution Neural Networks(CNNs) method cannot semantically identify each pixel,and it is difficult to decompose the different types of images from the pixel level.Therefore,an end-to-end full-convolution depth network is proposed to ...
YI Meng,SUI Lichun
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Dysarthria detection using convolution neural network
Dysarthria patients have difficulty controlling their speaking muscles, resulting in incomprehensible speech. A number of studies have looked into speech impairments; however, more research is needed to consider speakers with the same impairment but ...
M. Mahendran, R. Visalakshi, S. Balaji
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Image deblurring method driven by double layer convolution neural network denoising module
To solve this problem for inflexible of noise levels for deep convolution neural network for image denoising, an image deblurring method driven by a double deep convolution neural network for image denoising is proposed.The learning capability of ...
WU Jingjing; MA Jingning; ZHU Yonggui
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Detection algorithm of electronic disguised voice based on convolutional neural network
An electronic disguised voice detection algorithm based on the statistical features of MFCC and the convolution neural network was proposed.Firstly,the statistical features of MFCC were extracted and reconstructed as the input of convolution neural ...
Hongwei XU +5 more
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Traffic sign recognition algorithm based on improved convolution neural network
For the problem of low traffic sign recognition rate due to gradient diffusion in convolution neural network(CNN), an improved convolution neural network was proposed.
ZHU Yongjia, ZHANG Jing
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Relay protection device is an important part to ensure the safe and stable operation of power system. With the rapid increase of the number of substations and relay protection devices,the daily inspection workload of the operation and maintenance ...
WANG Ye +4 more
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Object-Aware Adaptive Convolution Kernel Attention Mechanism in Siamese Network for Visual Tracking
As a classic framework for visual object tracking, the Siamese convolutional neural network has received widespread attention from the research community.
Dongliang Yuan +4 more
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Repair of neuronal DNA damage in Alzheimer's disease by KCL‐286. (A) Amyloid‐β oligomers and plaques impair neuronal DNA repair pathways, leading to DNA double‐strand breaks and glial activation. (B) KCL‐286 activates RARβ/RXR signalling via retinoic acid response elements (RAREs), associated with increased BRCA1 expression, enhanced DNA repair and ...
Natasha Hill +6 more
wiley +1 more source
A floating foundation vibration reduction system with an air spring as a vibration isolation element has been widely used in the foundation of large ultra-precision instruments.
Zhu Longji, Wenliuhan Heisha, Zou Shuang
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A low-cost neural sorting network with O(1) time complexity [PDF]
[[abstract]]In this paper, we present an O(1) time neural network with O(n1 + var epsilon) neurons and links to sort n data, var epsilon > 0. For large-size problems, it is desirable to have low-cost hardware solutions.
Lin, Shun-Shii;Hsu, Shen-Hsuan
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