Results 21 to 30 of about 142,621 (312)
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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Image classification of intelligent farm based on convolutional neural network
Dianzi Jishu Yingyong, 2023 In order to solve the problem of perception and no decision-making in the agricultural modernization of Xinjiang Corps, an image classification method (TL-DA-SE-CNN) based on attention mechanism module (SENet) and convolutional neural network hybrid ...
Yang Yibin, Wang Junqiang, Chai Shihao
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Research on Hierarchical Decomposition of Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2019 With the continuous development of deep learning,Convolutional Neural Network(CNN) have received extensive attention from researchers in target detection and image classification.CNN have evolved from LeNet-5 networks to deep residual networks,and the ...
KE Yan, LIN Xiaozhu, LIAO Rui, WEI Zhanhong
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Architecture of Convolutional Neural Network (CNN).
, 2023 Architecture of Convolutional Neural Network (CNN).
Anjana Makoonlall (15187823) +3 more
core +1 more source
Artificial Neural Networks and Evolutionary Computation in Remote Sensing [PDF]
, 2021 Artificial neural networks (ANNs) and evolutionary computation methods have been successfully applied in remote sensing applications since they offer unique advantages for the analysis of remotely-sensed images.
core +1 more source
Simulation research on UAV recognition method based on convolutional neural network
Journal of Hebei University of Science and Technology, 2019 In order to improve the accuracy of identifying the target image while the drone is sailing, a hybrid model combining convolutional neural network (CNN) and probabilistic neural network (PNN) is proposed.
Ran ZHEN +3 more
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CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2021 11 pages, 14 figures, to be presented at IEEE VIS 2020. For a demo video, see https://youtu.be/HnWIHWFbuUQ . For a live demo, visit https://poloclub.github.io/cnn-explainer/
Zijie J. Wang +7 more
openaire +3 more sources