Results 1 to 10 of about 288,791 (262)
Chinese fingerspelling sign language recognition using a nine-layer convolutional neural network [PDF]
EAI Endorsed Transactions on e-Learning, 2021 INTRODUCTION: Sign language is a form of communication and exchange of ideas by people who are hearing-impaired or unable to speak.
Ya Gao +3 more
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DK-CNNs: Dynamic kernel convolutional neural networks [PDF]
Neurocomputing, 2021 Abstract This paper introduces dynamic kernel convolutional neural networks (DK-CNNs), an enhanced type of CNN, by performing line-by-line scanning regular convolution to generate a latent dimension of kernel weights. The proposed DK-CNN applies regular convolution to the DK weights, which rely on a latent variable, and discretizes the space of the ...
Liu, Jialin +4 more
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A noise robust convolutional neural network for image classification
Results in Engineering, 2021 Convolutional Neural Networks (CNNs) are extensively used for image classification. Noisy images reduce the classification performance of convolutional neural networks and increase the training time of the networks.
Mohammad Momeny +4 more
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Klasifikasi Penyakit Mata Menggunakan Convolutional Neural Network (CNN)
Sistemasi: Jurnal Sistem Informasi, 2021 Abstrak Gangguan pada mata atau disebut juga penyakit mata adalah suatu kondisi yang mampu mempengaruhi jangka waktu hidup bagi sebagian orang. Gangguan mata atau penyakit mata banyak sekali jenisnya, diantaranya yaitu katarak, glaukoma dan retina ...
Fani Nurona Cahya +3 more
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Research on improved convolutional wavelet neural network
Scientific Reports, 2021 Artificial neural networks (ANN) which include deep learning neural networks (DNN) have problems such as the local minimal problem of Back propagation neural network (BPNN), the unstable problem of Radial basis function neural network (RBFNN) and the ...
Jingwei Liu +4 more
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SAR image classification based on multi‐feature fusion decision convolutional neural network
IET Image Processing, 2022 With the success of convolutional neural network (CNN) in the field of image processing and image recognition, an improved fully convolutional neural network (FCNN) based on CNN is proposed.
Liang Guo
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Sensors, 2020 The interaction between humans and an NAO robot using deep convolutional neural networks (CNN) is presented in this paper based on an innovative end-to-end pipeline method that applies two optimized CNNs, one for face recognition (FR) and another one for
Daniel Octavian Melinte +1 more
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Occupational Therapy International, 2022 In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the ...
Qinying Yuan
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Handwritten Digits Recognition Based on Fused Convolutional Neural Network Model [PDF]
Jisuanji gongcheng, 2017 Aiming at the problem that the recognition rate of traditional handwritten digits recognition method is low,this paper proposes a Fused Convolutional Neural Network(F-CNN) model.By combining the high-level features of the Siamese Network(SN) model and ...
CHEN Xuan,ZHU Rong,WANG Zhongyuan
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Gear fault diagnosis based on SGMD noise reduction and CNN
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2022 Gear vibration fault signals are non-stationary and nonlinear, so it is very difficult to accurately extract the fault characteristics for diagnosis. As symplectic geometry mode decomposition (SGMD) has shown excellent decomposition performance and noise
Wei CHEN +3 more
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