Results 1 to 10 of about 5,267,034 (238)
EURASIP Journal on Image and Video Processing, 2019 With the development of society, electricity has become an indispensable material, and the reliability of power grid has become more and more important.
Jiazheng Lu, Yu Ye, Xunjian Xu, Qinpu Li
doaj +2 more sources
IEEE Access, 2021 Disease is one of the main factors affecting crop growth. How to reflect the external morphological features of the disease and completely retain the color and texture information of the disease area is one of the key research issues for crop disease ...
Yuxia Yuan, Zengyong Xu, Gang Lu
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A Study on Defect Detection Model of Bone Plates Using Multiple Filter CNN of Parallel Structure [PDF]
한국정밀공학회지, 2023 Bone plates are a medical device used for fixing broken bones, which should not have a crack and hole defect. Defect detection is very important because bone plate defect is very dangerous.
Song Yeon Lee, Yong Jeong Huh
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Medical imaging analysis with artificial neural networks [PDF]
, 2010 Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
Jiang, J., Ren, Jinchang, Trundle, P.
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Research Progress of Lightweight Neural Network Convolution Design [PDF]
Jisuanji kexue yu tansuo, 2022 Traditional neural networks have the disadvantages of over-reliance on hardware resources and high requirements for application equipment performance. Therefore, they cannot be deployed on edge devices and mobile terminals with limited computing power ...
MA Jinlin, ZHANG Yu, MA Ziping, MAO Kaiji
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Quantum stochastic convolution cocycles III [PDF]
, 2011 The theory of quantum Levy processes on a compact quantum group, and more generally quantum stochastic convolution cocycles on a C*-bialgebra, is extended to locally compact quantum groups and multiplier C*-bialgebras.
Skalski, Adam G. +3 more
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Orthogonal Features Extraction Method and Its Application in Convolution Neural Network
Shanghai Jiaotong Daxue xuebao, 2021 In view of feature redundancy in the convolutional neural network, the concept of orthogonal vectors is introduced into features. Then, a method for orthogonal features extraction of convolutional neural network is proposed from the perspective of ...
LI Chen, LI Jianxun
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Lightweight Convolutional Neural Network Architecture for Mobile Platforms [PDF]
Jisuanji gongcheng, 2019 For the problem that the deep neural network has low accuracy and over-fitting on the mobile platforms,a lightweight Convolutional Neural Network(CNN) architecture is proposed.The 3×3 depthwise separable convolution replaces the standard 3× ...
HU Ting,ZHU Yongxin,TIAN Li,FENG Songlin,WANG Hui
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Lixdh12/Hand-Gesture-Recognition-Using-Background-Elllimination-and-Convolution-Neural-Network:
, 2021 Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and ...
Sparsha Saha, mohammed-Emad
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Vehicle detection using improved region convolution neural network for accident prevention in smart roads [PDF]
, 2022 This paper explores the vehicle detection problem and introduces an improved regional convolution neural network. The vehicle data (set of images) is first collected, from which the noise (set of outlier images) is removed using the SIFT extractor.
Djenouri, Youcef +5 more
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